frnka/dmp-qa · Datasets at Hugging Face

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Ethics and Legal Compliance	How will you manage any ethical issues?	Generated data will be free of any ethical issues. DNA synthesis we will provided by TWIST Bioscience, which applies strict rules that comply with bio-engineering, see https://www.twistbioscience.com/legal/ethical-business-practices	a5262cfe456306b7623de7a29a5af721	dmponline.dcc.ac.uk
Ethics and Legal Compliance	How will you manage copyright and Intellectual Property Rights (IPR) issues?	IPR is managed by a patent expert at HES-SO ARC, who coordinate the IPR issues among all partners Source code of the control software will be published with an open source license Input and output data produced for experimentation and tests of control software will be released as open data under Creative Commons CC0 license.	a5262cfe456306b7623de7a29a5af721	dmponline.dcc.ac.uk
Storage and Backup	How will the data be stored and backed up during the research?	The University of Geneva has developed a long-term preservation system for archiving research data: OLOS.swiss Consequently, all pertinent documentation and research data generated during the project will be archived on OLOS.swiss The control software data is stored on institutional storage facilities (network file server, GitLab server, InfluxDB server). All these servers are configured by the IT department to be automatically backed up on a daily basis.	a5262cfe456306b7623de7a29a5af721	dmponline.dcc.ac.uk
Storage and Backup	How will you manage access and security?	OLOS.swiss offers all functionalities to guarantee access levels, embargoes, and security, if needed. The control software data is stored on institutional storage facilities (network file server, GitLab server, InfluxDB server). Access and security is managed by the IT department.	a5262cfe456306b7623de7a29a5af721	dmponline.dcc.ac.uk
Selection and Preservation	Which data are of long-term value and should be retained, shared, and/or preserved?	All documentation needed to realize the targeted system will be retain on the long term on OLOS.swiss Generated data to test the system will not be retained on the long term, but only backup for the duration of the project.	a5262cfe456306b7623de7a29a5af721	dmponline.dcc.ac.uk
Selection and Preservation	What is the long-term preservation plan for the dataset?	We expect to archive for a period of 10 years. Given we will keep only documentation, we should not need more than 1 TB. For up to 50 GB it costs about 50 euros per year (https://olos.swiss/pricing). Price will be evaluated later in the project when we will have a better idea about the volume needed.	a5262cfe456306b7623de7a29a5af721	dmponline.dcc.ac.uk
Data Sharing	How will you share the data?	OLOS.swiss has all the features for data sharing as it is a system which is compliant with the FAIR principles. Source code of control software with open source license will be published on github.com.	a5262cfe456306b7623de7a29a5af721	dmponline.dcc.ac.uk
Data Sharing	Are any restrictions on data sharing required?	Some documents that will remain private and shared only within the project partners until appropriate IP protection is sought. Then, everything should in principle become open access.	a5262cfe456306b7623de7a29a5af721	dmponline.dcc.ac.uk
Responsibilities and Resources	Who will be responsible for data management?	Pierre-Yves Burgi of the University of Geneva will be in charge of data management, and will regularly revise this DMP.	a5262cfe456306b7623de7a29a5af721	dmponline.dcc.ac.uk
Responsibilities and Resources	What resources will you require to deliver your plan?	The main output of this project is a proof-of-concept of an end-to-end system for archiving information within DNA synthetic molecules.	a5262cfe456306b7623de7a29a5af721	dmponline.dcc.ac.uk
Data Collection	What data will you collect or create?	Textual and numeric metadata and data from close reading will be collected. This data relates to cultural life in Ireland in the 1960s and will be conducted for four years, or for the duration of this project by the principle investigator, Patrick Egan. Data will be re-used from descriptive list and close reading of documents that are present in the Seán Ó Riada Special Collection at University College Cork. Data will also be used from close reading at archival repositories across Ireland. Data will also be re-used from Irish newspaper databases, which are digitised newspapers from the 1950s and 1960s. In addition to this, data will be gathered from close reading of archived documents at Raidió Teilifís Éireann (RTÉ) archives in Dublin. The total volume for this data will be 5MB, which will be raw data in .csv format. The .csv format is widely used, both in the Digital Humanities and in archives, so this format will be familiar to researchers in these areas of research. The .csv format is also being used in the field of Ethnomusicology. Additional costs will not need to be considered. Data will be easily shared on web repositories such as GitHub.com and Zenodo.org. The format of each dataset will be an open .csv file, which will be easily opened by software that is non-propietary, and this will facilitate sharing and long-term access without barriers to using the data. This format will also allow for data to be combined with other datasets, as each record will be entered into the datasets in a way that facilitates machine reading if needed. This data could complement existing datasets on Irish cultural life in the 1960s, for example letters that were shared between popular figures in artistic and political life. It would be possible to connect metadata relating those materials with the metadata from the letters in the Seán Ó Riada Collection, for example, names of people, addresses, topics contained within the letters and other relevant information that could facilitate digital analysis. As a result of the archival nature of these documents, it is envisioned that the data are of long-term value and should be preserved.	6b6f18eb0a87cd78858b358a9c34fd5d	dmponline.dcc.ac.uk
Data Collection	How will the data be collected or created?	Data will be collected through close reading of documents within archives and the literature. In each case, an iterative approach will enable constant re-editing and documentation of each piece of evidence. The methodology used for this project is based on practice theory, a form of historical enquiry that focuses on events through time to analyse how tradition had either been reinforced or changed by cultural tastemakers during the 1950s and 1960s. However, in this project, there is also an emphasis on broader cultural changes in society, and so key historical events are also included in this analysis. In addition to quantitative data being collected from archival sources, a series of interviews is also planned, which will contribute key insights into the central research question. This data will not be stored for more than five years after the research project has been completed, in line with University's policy on data retention. Each dataset will be separately created, and structured in a way that they can be easily accessed. During editing of these datasets, a record of each update will be kept with note-taking on decisions that were made during the process. To ensure quality, citations of each record of evidence will be kept, and a link will be made to versions of the datasets in the Wayback Machine, in case these website URL's are not live after the project has been completed. Peers will be consulted during the process of data collection, in order to ensure that data is being correctly recorded. Data will be updated on a local computer, but it will also be uploaded to online repositories www.GitHub.com and www.Zenodo.org when completed. Controlled vocabularies will be used where possible, in particular the use of DublinCore will ensure that data is machine readable to a degree.	6b6f18eb0a87cd78858b358a9c34fd5d	dmponline.dcc.ac.uk
Documentation and Metadata	What documentation and metadata will accompany the data?	In order for the data to be accessible and interpreted in future, a README file will accompany the data, which will outline the different fields included in the .csv files. These datasets will be described in the README, and in particular details of the creation of the documents. Also provided in the README will be a description of how the data could be used in future, to connect with other projects. Documentation of where data was collected will be provided in the descriptions of each of the datasets, for example how data was located, processed, and stored. An in-depth documentation of how data was collected and processed will also be provided in the PhD thesis, should future scholars need to access that data. Resultant visualisations from the PhD thesis will be documented and saved in the WaybackMachine. The code that was used to create these visualisations will be documented and uploaded to www.GitHub.com, and a detailed set of notes added in the PhD thesis. All resultant data will be made available for future scholars to access, and no constraints will be placed on the data. A CC BY license will be included in all publications of the data that are made available.	6b6f18eb0a87cd78858b358a9c34fd5d	dmponline.dcc.ac.uk
Ethics and Legal Compliance	How will you manage any ethical issues?	Ethical issues will be managed in line with University College Cork's SREC (Social Research Ethics Committee) policy. Documentation produced on ethics will be provided in an appendix of the PhD thesis.	6b6f18eb0a87cd78858b358a9c34fd5d	dmponline.dcc.ac.uk
Ethics and Legal Compliance	How will you manage copyright and Intellectual Property Rights (IPR) issues?	Copyright will be managed through full disclosure of sources, and data will be made available for re-use through Creative Commons licensing. No restrictions will be place on re-use, but credit will be needed for publication of data that is re-used.	6b6f18eb0a87cd78858b358a9c34fd5d	dmponline.dcc.ac.uk
Storage and Backup	How will the data be stored and backed up during the research?	Storage of data will be on personal website, www.o-em.org in the form of an SQL database, with an API service built on top to make JSON version of the dataset free to use. Data will be backed up by website backup software Jetbackup in an automated manner with daily occurrences, and the ability to restore backups from older versions of the saved files. However, this type of commercial storage is not suitable for long-term access, and so a second copy will be made available on UCC servers and also in an independent repository. For example, a further copy of the data will be available on the repositories Zenodo.org and www.GitHub.com in JSON format for open access. In the event of an incident, the project data and software developed for data visualisation will be available on these repositories.	6b6f18eb0a87cd78858b358a9c34fd5d	dmponline.dcc.ac.uk
Storage and Backup	How will you manage access and security?	Access to the data will be open, but management of the accounts hosting the data will be controlled by Patrick Egan, and all published versions of the datasets will be accompanied by contact information for the principle investigator. There is a risk that data may be compromised in the event of a breach of security on the web server used for the duration of the PhD project. However, collaborators will be enabled to access all data both on personal website and on GitHub.com. In the long term, it is hoped that the project will be preserved and made permanently available on a trusted national repository, such as the Digital Repository of Ireland (DRI). Patrick Egan's personal account on the Digital Repository of Ireland will be controlled by Patrick Egan, and access will be provided by Patrick and the administrators at the DRI.	6b6f18eb0a87cd78858b358a9c34fd5d	dmponline.dcc.ac.uk
Selection and Preservation	Which data are of long-term value and should be retained, shared, and/or preserved?	Data collected during this project from interviews will be destroyed after a period of 5 years after the project has been completed, as future research into the topic will not require access to interview material after this time. There will be a grace period, where researchers may investigate the project to understand how findings were made, but after this period of time, the research data from interviews will not be available. Other data such as metadata relating to the project will be made available in perpetuity. For example, metadata describing documents from the Seán Ó Riada Collection at the Boole Library will be important for future scholars working on the collection. This data has been appraised by archivists at the Boole Library at University College Cork. The datasets are deemed to be of archival value, and in particular they allow archivists to search amongst different areas of the Seán Ó Riada Collection, in ways that were previously inaccessible. For example, detail on the musical projects of Seán Ó Riada will allow archivists to pinpoint different files and metadata about those manuscripts will be useful. Other forseeable research uses in other projects will include broader national and international studies on Irish culture and Irish studies.	6b6f18eb0a87cd78858b358a9c34fd5d	dmponline.dcc.ac.uk
Selection and Preservation	What is the long-term preservation plan for the dataset?	In long term, data will be made available on open repository Digital Repository of Ireland (DRI), a trusted national repository, which will allow the continued access to the material once ingested.	6b6f18eb0a87cd78858b358a9c34fd5d	dmponline.dcc.ac.uk
Data Sharing	How will you share the data?	Information about the datasets involved in this PhD project will be made available on the personal website of Patrick Egan. A description of the data collecting will feature the potential uses, and this will also be shared both on personal websites and on GitHub and Zenodo. Information about the datasets and any attendant metadata will be ingested into the trusted national repository, the Digital Repository of Ireland.	6b6f18eb0a87cd78858b358a9c34fd5d	dmponline.dcc.ac.uk
Data Sharing	Are any restrictions on data sharing required?	No restrictions on data sharing	6b6f18eb0a87cd78858b358a9c34fd5d	dmponline.dcc.ac.uk
Responsibilities and Resources	Who will be responsible for data management?	Patrick Egan is responsible for implementing, reviewing and revising the Data Management Plan (DMP). Data management activities, data ownership and data curation will be the sole responsibility of Patrick Egan.	6b6f18eb0a87cd78858b358a9c34fd5d	dmponline.dcc.ac.uk
Responsibilities and Resources	What resources will you require to deliver your plan?	A listing of books owned by Seán Ó Riada, evidence collected from searches of items within Special Collections at the Boole Library, University College Cork.	6b6f18eb0a87cd78858b358a9c34fd5d	dmponline.dcc.ac.uk
Summary	Provide a dataset summary	There are two main dataset types: experimental and modelling. The experimental datasets consist mainly of raw data from GC (.xlsx), MFM (.txt) and potentiostat (.xlsx). The data size is between 1-1000 KB. This data is processed by a built-model and stored in a masterfile (.txt) where all the experimental information is also included. In the masterfile it can be found, the date of the experiment, the experimental conditions (concentration anolyte, anolyte, current density, etc) and the results obtained (FE CO and H2, cell voltage). The modelling dataset consists of the several versions of the model developed (python or excel, 1-1000 KB) as well as the data that is derived from them (.txt or excel, respectively). The results obtained from the model will be stored in separate textfiles. It is expected that the sum of the data generated and stored will be in the range of the GB.	2c4a515de4be9b3938376f5a8d07bb0f	dmponline.dcc.ac.uk
FAIR data and resources	Making data findable	Data is stored and classified in several folders according to their area (e.g: Modelling, experiments, literature, writing-papers, presentations, etc). Each file has a name with the date of creation, and a short description of what it contains. In addition, readme files can be find with further specific instructions that help finding the data. For experimental data, an overview file can be find with a detailed description of the conditions of each experiments (with units), the project it pertain to and the day of the experiment. This logging file can be used to correlate the experiments done with the data presented. For papers, the data will be published and stored in the data repositorium 4TU ( https://data.4tu.nl/) . It will be findable through a DOI created for the dataset. The DOI specific for the dataset will be attached to the paper.	2c4a515de4be9b3938376f5a8d07bb0f	dmponline.dcc.ac.uk
FAIR data and resources	Making data openly accessible	The data will be openly accessible using the least restrictive license: CC-BY. Our objective is to enhance the sharing and use of the knowledge we have generated as much as possible. The data will be available as soon as the paper is published, via the 4TU data repository: ( https://data.4tu.nl/) . From the publisher website it will be accessible through the dataset DOI created in the data repository.	2c4a515de4be9b3938376f5a8d07bb0f	dmponline.dcc.ac.uk
FAIR data and resources	Making data interoperable	To make data interoperable a masterfile will be provided, in which the experimental conditions together with the results obtained from the experiments are summarised. The experimental conditions include the anolyte identity, anolyte concentration, anode and cathode material, and current density. The results will mainly consist of the cell voltage, faradaic efficiency for different products and the mass flow meter data. In addition, the methodology will be described in the paper. It is expected that with all this information, anyone can reproduce the exact same experiment.	2c4a515de4be9b3938376f5a8d07bb0f	dmponline.dcc.ac.uk
0. Administrative questions	Name of data management support staff consulted during the preparation of this plan.	The data for my project was discussed with my supervisor and mentor.	1b77f4f303cfc51f0ddebe7f7e78fd0e	dmponline.dcc.ac.uk
IV. Legal and ethical requirements, codes of conduct	How will ownership of the data and intellectual property rights to the data be managed?	For projects involving commercially-sensitive research or research involving third parties, seek advice of your Faculty Contract Manager when answering this question. If this is not the case, you can use the example below. The data we collect and the results from it will be co-owned by myself and xyz.	1b77f4f303cfc51f0ddebe7f7e78fd0e	dmponline.dcc.ac.uk
IV. Legal and ethical requirements, codes of conduct	Please list the categories of data subjects	TUD Students from my personal network.	1b77f4f303cfc51f0ddebe7f7e78fd0e	dmponline.dcc.ac.uk
IV. Legal and ethical requirements, codes of conduct	Please describe the informed consent procedure you will follow:	People I interview will sign an adapted form of the consent form provided by TU Delft (HREC).	1b77f4f303cfc51f0ddebe7f7e78fd0e	dmponline.dcc.ac.uk
VI. Data management responsibilities and resources	If you leave TU Delft (or are unavailable), who is going to be responsible for the data resulting from this project?	My project - along with all of its data - will likely be deleted if I leave the university. If I am working with anyone who wishes to continue the work, I will leave a copy of the data with my supervisor, .	1b77f4f303cfc51f0ddebe7f7e78fd0e	dmponline.dcc.ac.uk
VI. Data management responsibilities and resources	What resources (for example financial and time) will be dedicated to data management and ensuring that data willbe FAIR (Findable, Accessible, Interoperable, Re-usable)?	None - I will handle all data management on my own using resources provided by the university.	1b77f4f303cfc51f0ddebe7f7e78fd0e	dmponline.dcc.ac.uk
Data Collection	What data will you collect or create?	ResearchManager (RM) proprietary software will be used for this on-line survey. RM is developed in Microsoft .NET framework using ASP.Net. RM user interface contains components from Progress TelerikRadControl for ASP.NET AJAX All RM data stored on behalf of the customer is solely the property of the PI supported by a signed Processing Agreement This software has been chosen as it has been used in a similar study and supports randomisation of questions to participants. Responses to an on-line survey will include: 1. 5 'tick-box' responses related to consent 2. 8 demographic questions with 'tick box' responses 3. 10 'tick-box' response to questions 4. 5 percentage figures There will be no free text The above will be collected from approx. 300 participants. These data will be in megabytes and exportable to Excel, Word, pdf or SPSS format (.sav) Data volumes will be megabytes posing no concerns for volume, access, preservation or sharing.	c39628406666cb24f67686a839954489	dmponline.dcc.ac.uk
Data Collection	How will the data be collected or created?	Use testing of the survey will be completed before the survey goes live. During testing, data capture and transfer reliabilty will be tested. Once the survey goes live, responses will be reviewed intermittently by the PI using a 2-factor authentication access with a 6-digit password	c39628406666cb24f67686a839954489	dmponline.dcc.ac.uk
Documentation and Metadata	What documentation and metadata will accompany the data?	The full study protocol will be available, for reference, for the research team throughout the study. The final protocol will be stored in SharePoint at the Dept of Health, Victoria. Contemporaneous notes will be taken throughout the study in a Microsoft Word document which will be stored on SharePoint All notes and data will be anonymous. A README.txt file will be created to track the file characteristics of the study. Specifically, this will record the name of each file and the location where it is stored.	c39628406666cb24f67686a839954489	dmponline.dcc.ac.uk
Ethics and Legal Compliance	How will you manage any ethical issues?	ACCORD Research and Development sponsorship has been sought for this study. Approval form the Edinburgh Medical School Research Ethics Committee (EMREC) will be sought before the study commences. The Dept of Health and Dept of Families, Fairness and Housing Human Research Ethics Committee - Victoria Australia has approved this study The PI has an up-to-date Good Clinical Practice certificate Consent Consent will be taken electronically. Invitees will be provided with an electronic participant information sheet which they will be able to download and retain a copy of. Invitees will be asked to confirm their consent to participate as well as for their anonymised data to be used for analysis, presentation and publication. Participants can withdrawal from the study at any point prior to submission of data. As the data will be provided anonymously, participants will not be able to withdraw after data submission.	c39628406666cb24f67686a839954489	dmponline.dcc.ac.uk
Ethics and Legal Compliance	How will you manage copyright and Intellectual Property Rights (IPR) issues?	RM data stored on behalf of the customer is solely the property of the PI supported by a signed Processing Agreement	c39628406666cb24f67686a839954489	dmponline.dcc.ac.uk
Storage and Backup	How will the data be stored and backed up during the research?	Hardware/software security RM servers are located in secured and certified data centers in Australia. RM datacenters are Tier 3+ and certified for ISO 9001, 14001,ISO 27001:2013, NEN7510 and ISAE 3402. Within the secure area of our datacenters there are RM specific secured cabinets which are only accessible for authorized RM staff. Hardware/software security Internet connection between client and RM is securedthrough certificates from Sectigo. Secure connection RM has a continuous mirrored dedicated back up server on asecure location (3 months storage). The backups areencrypted (AES 256). RM has a weekly full backup to a dedicated server on a securelocation (3 months storage). The backups are encrypted (AES 256). RM has a daily incremental backup. Backup restore is tested periodically.	c39628406666cb24f67686a839954489	dmponline.dcc.ac.uk
Storage and Backup	How will you manage access and security?	RM has a role based access management system. SSO connection based on SAML is available. 2FA is available for accounts using username and password.A 6 digit code is part of 2FA. Authorisation to perform certain operations within theapplication are assigned to specific roles and can beenforced on application, tool, study, site and patient level. Level of password strength can be enforced by the RMsystem administrator. Password change policy can be enforced for a specificperiod by the RM system administrator.	c39628406666cb24f67686a839954489	dmponline.dcc.ac.uk
Selection and Preservation	Which data are of long-term value and should be retained, shared, and/or preserved?	All data will be retained for 5 years and saved on a password protected computer at the Dept of Health, Victoria Australia	c39628406666cb24f67686a839954489	dmponline.dcc.ac.uk
Selection and Preservation	What is the long-term preservation plan for the dataset?	Data will be deleted after 5 years	c39628406666cb24f67686a839954489	dmponline.dcc.ac.uk
Data Sharing	How will you share the data?	The output from this study will include a peer reviewed journal publication. Source data (all anonymised) will be available to other researchers upon request.	c39628406666cb24f67686a839954489	dmponline.dcc.ac.uk
Responsibilities and Resources	Who will be responsible for data management?	The PI will be responsible for all data management	c39628406666cb24f67686a839954489	dmponline.dcc.ac.uk
Responsibilities and Resources	What resources will you require to deliver your plan?	A 3-year on-line course - University of Edinburgh	c39628406666cb24f67686a839954489	dmponline.dcc.ac.uk
0. Administrative questions	Name of data management support staff consulted during the preparation of this plan.	The review by the data steward is optional. If you don't request feedback - write it here, and leave the field below empty. To request feedback, use the "Request feedback" tab above. If I don't reply within a few working days, do send me a reminder directly to me (you should find my email somewhere online).	5c5f2a1a15dd5d896d948e958808be61	dmponline.dcc.ac.uk
IV. Legal and ethical requirements, codes of conduct	Please list the categories of data subjects	Indicate here who you will interact directly or indirectly. Indicate the country of where they are located if possible. Common answers are similar to: Experts in the field of energy production, including members of start-ups, private company, and local public representative (municipality) in the Netherlands Survey respondents recruited through personal and professional network (LinkedIn) Members of NGO active in the field of food safety located anywhere in the world. Employees of KLM operating in San Martin, working on emergency systems Participants in the event/workshops/lecture ... Bike users of Delft - interviews, field work Note for "The citizen of city X", or "General inhabitant for neigh". Please provide info on recruitment of the participants here. Example: Citizen of the neighborhood X, contacted through the local pet owner group. Citizen of Amsterdam, survey distributed by city hall to specific bike users	5c5f2a1a15dd5d896d948e958808be61	dmponline.dcc.ac.uk
IV. Legal and ethical requirements, codes of conduct	Please contact the privacy team (	[email protected] ) for advice on data transfer. Please also bring your draft DMP when contacting the privacy team. Please record below their advice, the data transfer mechanism used and agreed security measures: Update this field if the privacy team has provided advice on this.	5c5f2a1a15dd5d896d948e958808be61	dmponline.dcc.ac.uk
V. Data sharing and long-term preservation	When will the data (or code) be shared?	You can always delay the publication - embargo, confidentiality ...	5c5f2a1a15dd5d896d948e958808be61	dmponline.dcc.ac.uk
FAIR data and resources	Making data findable	I have obtained ethical clearance from the Human Research Ethics Committee of the University of Tartu to collect data from participants on academic writing courses and/or groups at the University of Tartu (Kooskolastus_36 8T-18) for the duration of this research project. As it has been deemed that the data collected from the human participants is both personal and sensitive, all data collected is only accessible to the principal Investigator (Roger Yallop) and the named collaborating researchers as to the terms and conditions of the ethical clearance. Therefore, this research project will not participate in FAIR data.	027a0909204472664909b68b716109c4	dmponline.dcc.ac.uk
FAIR data and resources	Making data openly accessible	Due to the stipulation of the ethical clearance protocol, all collected datasets will only be accessible to the PI and collaborating researchers. No data will be made readily available to researchers from outside this research project.	027a0909204472664909b68b716109c4	dmponline.dcc.ac.uk
FAIR data and resources	Making data interoperable	As all the datasets are closed, there will be no interoperability for this study.	027a0909204472664909b68b716109c4	dmponline.dcc.ac.uk
FAIR data and resources	Allocation of resources and data security	There will be no open access of data for this project. As such, this question is not relevant.	027a0909204472664909b68b716109c4	dmponline.dcc.ac.uk
Data Collection	What data will you collect or create?	The data collected for this research consists of archival documents, memoirs and secondary literature on Transylvanian Armenians, as well as research data on their genealogy.	c5ac030f0b403cd1076e60b439d07863	dmponline.dcc.ac.uk
Data Collection	How will the data be collected or created?	All the data will be collected from the archives, libraries and on-line resources. Krčmérys’ family archive will also be used for comparison and analysis. For the data collection a visit to Budapest and several meetings with Armenologists and prominent Armenians are planned there. Rich material of ‘Orer’ Armenian European Magazine (co-founded by me) on Transylvanian Armenians, (i.e Armenians in Hungary, Romania, Western Ukraine) will also be used. A new family tree will be drawn as new data on Silvester Krčméry’s ancestors.	c5ac030f0b403cd1076e60b439d07863	dmponline.dcc.ac.uk
Documentation and Metadata	What documentation and metadata will accompany the data?	No additional documentation and/or metadata will be created in this research.	c5ac030f0b403cd1076e60b439d07863	dmponline.dcc.ac.uk
Ethics and Legal Compliance	How will you manage any ethical issues?	The extended Krčméry family is very much waiting and ready for any material, thus all the data is firstly discussed with the family members. Other legal and ethical issues will be handled according existing guidelines, as well as responsible and proper citation.	c5ac030f0b403cd1076e60b439d07863	dmponline.dcc.ac.uk
Ethics and Legal Compliance	How will you manage copyright and Intellectual Property Rights (IPR) issues?	I retain the copyright and intellectual property rights (IPR) for my work. The research will be available to the public through open- access.	c5ac030f0b403cd1076e60b439d07863	dmponline.dcc.ac.uk
Storage and Backup	How will the data be stored and backed up during the research?	The data collected during this research will be stored on my personal computer, my flash disk, which is used for backups, as well as an external data storage disk with all of my collected material.	c5ac030f0b403cd1076e60b439d07863	dmponline.dcc.ac.uk
Storage and Backup	How will you manage access and security?	Although there are no security risks in this case, my main computer, the flash disk with collected data and external storage are always kept at home and no one can have access to my research data.	c5ac030f0b403cd1076e60b439d07863	dmponline.dcc.ac.uk
Selection and Preservation	Which data are of long-term value and should be retained, shared, and/or preserved?	I have all the photos of archival documents and pages of secondary literature, as well as the downloads of on-line resources. All the collected data will be preserved a/ for using any moment if necessary b/ for new studies. There are no contracts or legal regulations demanding the deletion of the collected data for this research.	c5ac030f0b403cd1076e60b439d07863	dmponline.dcc.ac.uk
Selection and Preservation	What is the long-term preservation plan for the dataset?	I will keep the collected materials in the aforementioned storages for at least five years to ensure easy future access and reference if necessary.	c5ac030f0b403cd1076e60b439d07863	dmponline.dcc.ac.uk
Data Sharing	How will you share the data?	The collected material is not for sharing. One photo will be shared with Silverster Krčméry’s extended family. The outputs will have open access.	c5ac030f0b403cd1076e60b439d07863	dmponline.dcc.ac.uk
Data Sharing	Are any restrictions on data sharing required?	The collected data for this research is not for sharing. My research has and will remain GDPR compliant, ensuring data protection and privacy.	c5ac030f0b403cd1076e60b439d07863	dmponline.dcc.ac.uk
Responsibilities and Resources	Who will be responsible for data management?	I will be responsible for the data before the publication of the article which is planned at the end of 2024 or at the beginning of 2025.	c5ac030f0b403cd1076e60b439d07863	dmponline.dcc.ac.uk
Responsibilities and Resources	What resources will you require to deliver your plan?	I will not need any additional requirements for this data.	c5ac030f0b403cd1076e60b439d07863	dmponline.dcc.ac.uk
Data Summary	Briefly introduce the types of data the research will create. Why did you decide to use these data types?	My research will create text data primarily from archival sources and published sources such as newspapers and magazines. The project also involves obtaining audio content during oral history interviews, these materials will be recorded on an encrypted recording device and transcribed by me personally. It is also possible that I will use written questionnaires instead of audio interviews.	2009331230c230721e74f402857e7d42	dmponline.dcc.ac.uk
Data Collection	Give details on the proposed methodologies that will be used to create the data. Advise how the project teamselected will be suitable for the data/digital aspects of the work, including details of how the institution’s datasupport teams may need to support the project	I plan to collect and process archival sources, I plan to take photos of the documents or in case if it is not possible I will transcript them. These will be a combination of .doc and .jpg files. Consistency and quality of data will be controlled by quality control checks of picture and text data before it is filed under mentioned naming conventions. Any photo or text data that fails quality control will be recaptured the same or following day. In terms of oral history interview, I will develop a questionnaire that I will use as guide during the interviews, or that the respondent can fill out independently. This questionnaire will be developed with the help of the University Ethics Committee. The questionnaire will be published as the part of the thesis as well.	2009331230c230721e74f402857e7d42	dmponline.dcc.ac.uk
Short-term Data Storage	How will the data be stored in the short term?	Photo data will be stored on smartphone device and digitally stored and transferred to an email address using an established data transfer service. It will then be stored on a hard drive in the short term before being uploaded to the University X: drive. In the longer term, both photo and text transcription data will be copied onto an external hard drive, which is held securely. For maximum security all files and data will also be backed-up on the the University X: drive. The main copy will be stored on the University X: drive and backed up by IT Services. All data management and storage for this research is my own responsibility.	2009331230c230721e74f402857e7d42	dmponline.dcc.ac.uk
Short-term Data Storage	a What backup will you have in the in-project period to ensure no data is lost?	I will back-up data in several areas. All data will be stored on a hard drive and on the University X: drive, with copies backed-up to external hard drives and to cloud storage to ensure data is saved in the event that one of these systems fails. The main copy of all data will be stored on the University X: drive and backed-up by IT services.	2009331230c230721e74f402857e7d42	dmponline.dcc.ac.uk
Long-term Data Storage	How the data will be stored in the long term?	For the long term, data will be stored on cloud drive services with the University X: drive. Participant consent and conditions of use for archival material should be observed when storing data long term.	2009331230c230721e74f402857e7d42	dmponline.dcc.ac.uk
Long-term Data Storage	a. Where have you decided to store it, why is this appropriate?	I have decided to keep two copies of my data for storage — on my personal hard drive and on University X: drive. These locations are secure and having several copies means the data will not be lost if one of the locations is compromised.	2009331230c230721e74f402857e7d42	dmponline.dcc.ac.uk
Long-term Data Storage	b. How long will it be stored for and why?	This data will be stored indefinitely. The research I conduct and the material I collect should be available to be used by others.	2009331230c230721e74f402857e7d42	dmponline.dcc.ac.uk
Long-term Data Storage	c. Costs of storage – why are these appropriate? Costs related to long term storage will be permitted providing theseare fully justified and relate to the project Full justification must be provided in Justification of Resources (JoR)	There are no costs to the storage of my data.	2009331230c230721e74f402857e7d42	dmponline.dcc.ac.uk
Data Sharing	How the data will be shared and the value it will have to others	Any data I collect will most likely be in the form of word-document format. Archival primary material I collect can be shared on request by interested parties by placing in ORDA openly available under a Creative Commons licence. This material will have value to others working within my field of research or related areas.	2009331230c230721e74f402857e7d42	dmponline.dcc.ac.uk
Data Sharing	a. How the data will enhance the area and how it could be used in the future?	I hope that this data will offer greater insight into twin towns in Eastern block, but also into Cold War cultural diplomacy and people's diplomacy. The material I collect will not only support my thesis, but it could also support future research in this field and allow other researchers to critique or incorporate my arguments and materials.	2009331230c230721e74f402857e7d42	dmponline.dcc.ac.uk
Data Sharing	b. Releasing the data – advise when you will be releasing and justify if not releasing in line with AHRC guidelines of aminimum of three years. If the data will have value to different audiences, how these groups will be informed?	I have no current plans to release my data, though it can be accessed upon request at any time. On publication of my thesis I will include a notification of the data I have used and where it can be accessed for interested groups.	2009331230c230721e74f402857e7d42	dmponline.dcc.ac.uk
Data Sharing	d. Will the data be open or will you charge for it? Justify if charging to access the data	This data collected from the archives will be open.	2009331230c230721e74f402857e7d42	dmponline.dcc.ac.uk
Data Sharing	e. Financial requirements of sharing – include full justification in the JoR	No foreseeable financial requirements.	2009331230c230721e74f402857e7d42	dmponline.dcc.ac.uk
Ethical and Legal Considerations	a. Any legal and ethical considerations of collecting the data	The main ethical considerations for the archival research relate to data management and copy-right. The majority of archive material to be used in this project are freely available and can be cited for the purposes of research. I will be careful to familiarise myself with and follow closely any permissions and copy-right regulations provided by the individual archives. For the interviews, the main ethical considerations relate to informed consent, confidentiality and the right to withdraw.	2009331230c230721e74f402857e7d42	dmponline.dcc.ac.uk
Ethical and Legal Considerations	b. Legal and ethical considerations around releasing and storing the data – anonymity of any participants, followingpromises made to participants	Before agreeing to participate, informed consent from potential interviewees will be secured, and they may request anonymity. Interviewees will be provided with a detailed information sheet explaining the purpose of the research, the interview process, and their right to withdraw at any point during the interview and within a stated time frame. Confidentiality will be offered and assured through the use of pseudonyms in the process of transcription and data storage. For pseudonymous interviewees, a unique identifier would be applied and identity details stored separately to audio files and the interview summary. Interview recordings would be deleted by the end of a project, and anonymised transcripts only retained.	2009331230c230721e74f402857e7d42	dmponline.dcc.ac.uk
0. Administrative questions	Name of data management support staff consulted during the preparation of this plan.	My faculty data steward, Sara Shoghi, has reviewed this DMP on 25/10/2024.	c427a6f60bacf11e2208c05a437215f0	dmponline.dcc.ac.uk
IV. Legal and ethical requirements, codes of conduct	How will ownership of the data and intellectual property rights to the data be managed?	For projects involving commercially-sensitive research or research involving third parties, seek advice of your Faculty Contract Manager when answering this question. If this is not the case, you can use the example below. This is an internal TUD MSc thesis project. The datasets underlying the published papers will be publicly released following the TU Delft Research Data Framework Policy. During the active phase of research, the project leader from TU Delft will oversee the access rights to data (and other outputs), as well as any requests for access from external parties. They will be released publicly no later than at the time of publication of corresponding research papers.	c427a6f60bacf11e2208c05a437215f0	dmponline.dcc.ac.uk
IV. Legal and ethical requirements, codes of conduct	Please describe the informed consent procedure you will follow:	All study participants will be asked to provide their written consent for participation in the study and for the processing of their data.	c427a6f60bacf11e2208c05a437215f0	dmponline.dcc.ac.uk
VI. Data management responsibilities and resources	If you leave TU Delft (or are unavailable), who is going to be responsible for the data resulting from this project?	Jenny Dankelman [email protected]	c427a6f60bacf11e2208c05a437215f0	dmponline.dcc.ac.uk
Ethics and Legal Compliance	How will you manage any ethical issues?	Generated data will be free of any ethical issues. DNA synthesis we will provided by TWIST Bioscience, which applies strict rules that comply with bio-engineering, see https://www.twistbioscience.com/legal/ethical-business-practices	f1efae143c9f440637d3732c9391ff30	dmponline.dcc.ac.uk
Ethics and Legal Compliance	How will you manage copyright and Intellectual Property Rights (IPR) issues?	IPR is managed by a patent expert at HES-SO ARC, who coordinate the IPR issues among all partners Source code of the control software will be published with an open source license Input and output data produced for experimentation and tests of control software will be released as open data under Creative Commons CC0 license.	f1efae143c9f440637d3732c9391ff30	dmponline.dcc.ac.uk
Storage and Backup	How will the data be stored and backed up during the research?	The University of Geneva has developed a long-term preservation system for archiving research data: OLOS.swiss Consequently, all pertinent documentation and research data generated during the project will be archived on OLOS.swiss The control software data is stored on institutional storage facilities (network file server, GitLab server, InfluxDB server). All these servers are configured by the IT department to be automatically backed up on a daily basis.	f1efae143c9f440637d3732c9391ff30	dmponline.dcc.ac.uk
Storage and Backup	How will you manage access and security?	OLOS.swiss offers all functionalities to guarantee access levels, embargoes, and security, if needed. The control software data is stored on institutional storage facilities (network file server, GitLab server, InfluxDB server). Access and security is managed by the IT department.	f1efae143c9f440637d3732c9391ff30	dmponline.dcc.ac.uk
Selection and Preservation	Which data are of long-term value and should be retained, shared, and/or preserved?	All documentation needed to realize the targeted system will be retain on the long term on OLOS.swiss Generated data to test the system will not be retained on the long term, but only backup for the duration of the project.	f1efae143c9f440637d3732c9391ff30	dmponline.dcc.ac.uk
Selection and Preservation	What is the long-term preservation plan for the dataset?	We expect to archive for a period of 10 years. Given we will keep only documentation, we should not need more than 1 TB. For up to 50 GB it costs about 50 euros per year (https://olos.swiss/pricing). Price will be evaluated later in the project when we will have a better idea about the volume needed.	f1efae143c9f440637d3732c9391ff30	dmponline.dcc.ac.uk
Data Sharing	How will you share the data?	OLOS.swiss has all the features for data sharing as it is a system which is compliant with the FAIR principles. Source code of control software with open source license will be published on github.com.	f1efae143c9f440637d3732c9391ff30	dmponline.dcc.ac.uk
Data Sharing	Are any restrictions on data sharing required?	Some documents that will remain private and shared only within the project partners until appropriate IP protection is sought. Then, everything should in principle become open access.	f1efae143c9f440637d3732c9391ff30	dmponline.dcc.ac.uk
Responsibilities and Resources	Who will be responsible for data management?	Pierre-Yves Burgi of the University of Geneva will be in charge of data management, and will regularly revise this DMP.	f1efae143c9f440637d3732c9391ff30	dmponline.dcc.ac.uk
Responsibilities and Resources	What resources will you require to deliver your plan?	The main output of this project is a proof-of-concept of an end-to-end system for archiving information within DNA synthetic molecules.	f1efae143c9f440637d3732c9391ff30	dmponline.dcc.ac.uk
Data Collection	What data will you collect or create?	Textual and numeric metadata and data from close reading will be collected. This data relates to cultural life in Ireland in the 1960s and will be conducted for four years, or for the duration of this project by the principle investigator, Patrick Egan. Data will be re-used from descriptive list and close reading of documents that are present in the Seán Ó Riada Special Collection at University College Cork. Data will also be used from close reading at archival repositories across Ireland. Data will also be re-used from Irish newspaper databases, which are digitised newspapers from the 1950s and 1960s. In addition to this, data will be gathered from close reading of archived documents at Raidió Teilifís Éireann (RTÉ) archives in Dublin. The total volume for this data will be 5MB, which will be raw data in .csv format. The .csv format is widely used, both in the Digital Humanities and in archives, so this format will be familiar to researchers in these areas of research. The .csv format is also being used in the field of Ethnomusicology. Additional costs will not need to be considered. Data will be easily shared on web repositories such as GitHub.com and Zenodo.org. The format of each dataset will be an open .csv file, which will be easily opened by software that is non-propietary, and this will facilitate sharing and long-term access without barriers to using the data. This format will also allow for data to be combined with other datasets, as each record will be entered into the datasets in a way that facilitates machine reading if needed. This data could complement existing datasets on Irish cultural life in the 1960s, for example letters that were shared between popular figures in artistic and political life. It would be possible to connect metadata relating those materials with the metadata from the letters in the Seán Ó Riada Collection, for example, names of people, addresses, topics contained within the letters and other relevant information that could facilitate digital analysis. As a result of the archival nature of these documents, it is envisioned that the data are of long-term value and should be preserved.	72b99e625d05a093ce89c16b77e973e7	dmponline.dcc.ac.uk
Data Collection	How will the data be collected or created?	Data will be collected through close reading of documents within archives and the literature. In each case, an iterative approach will enable constant re-editing and documentation of each piece of evidence. The methodology used for this project is based on practice theory, a form of historical enquiry that focuses on events through time to analyse how tradition had either been reinforced or changed by cultural tastemakers during the 1950s and 1960s. However, in this project, there is also an emphasis on broader cultural changes in society, and so key historical events are also included in this analysis. In addition to quantitative data being collected from archival sources, a series of interviews is also planned, which will contribute key insights into the central research question. This data will not be stored for more than five years after the research project has been completed, in line with University's policy on data retention. Each dataset will be separately created, and structured in a way that they can be easily accessed. During editing of these datasets, a record of each update will be kept with note-taking on decisions that were made during the process. To ensure quality, citations of each record of evidence will be kept, and a link will be made to versions of the datasets in the Wayback Machine, in case these website URL's are not live after the project has been completed. Peers will be consulted during the process of data collection, in order to ensure that data is being correctly recorded. Data will be updated on a local computer, but it will also be uploaded to online repositories www.GitHub.com and www.Zenodo.org when completed. Controlled vocabularies will be used where possible, in particular the use of DublinCore will ensure that data is machine readable to a degree.	72b99e625d05a093ce89c16b77e973e7	dmponline.dcc.ac.uk
Documentation and Metadata	What documentation and metadata will accompany the data?	In order for the data to be accessible and interpreted in future, a README file will accompany the data, which will outline the different fields included in the .csv files. These datasets will be described in the README, and in particular details of the creation of the documents. Also provided in the README will be a description of how the data could be used in future, to connect with other projects. Documentation of where data was collected will be provided in the descriptions of each of the datasets, for example how data was located, processed, and stored. An in-depth documentation of how data was collected and processed will also be provided in the PhD thesis, should future scholars need to access that data. Resultant visualisations from the PhD thesis will be documented and saved in the WaybackMachine. The code that was used to create these visualisations will be documented and uploaded to www.GitHub.com, and a detailed set of notes added in the PhD thesis. All resultant data will be made available for future scholars to access, and no constraints will be placed on the data. A CC BY license will be included in all publications of the data that are made available.	72b99e625d05a093ce89c16b77e973e7	dmponline.dcc.ac.uk
Ethics and Legal Compliance	How will you manage any ethical issues?	Ethical issues will be managed in line with University College Cork's SREC (Social Research Ethics Committee) policy. Documentation produced on ethics will be provided in an appendix of the PhD thesis.	72b99e625d05a093ce89c16b77e973e7	dmponline.dcc.ac.uk
Ethics and Legal Compliance	How will you manage copyright and Intellectual Property Rights (IPR) issues?	Copyright will be managed through full disclosure of sources, and data will be made available for re-use through Creative Commons licensing. No restrictions will be place on re-use, but credit will be needed for publication of data that is re-used.	72b99e625d05a093ce89c16b77e973e7	dmponline.dcc.ac.uk

Ethics and Legal Compliance

How will you manage any ethical issues?

Generated data will be free of any ethical issues. DNA synthesis we will provided by TWIST Bioscience, which applies strict rules that comply with bio-engineering, see https://www.twistbioscience.com/legal/ethical-business-practices

a5262cfe456306b7623de7a29a5af721

dmponline.dcc.ac.uk

Ethics and Legal Compliance

How will you manage copyright and Intellectual Property Rights (IPR) issues?

IPR is managed by a patent expert at HES-SO ARC, who coordinate the IPR issues among all partners Source code of the control software will be published with an open source license Input and output data produced for experimentation and tests of control software will be released as open data under Creative Commons CC0 license.

a5262cfe456306b7623de7a29a5af721

dmponline.dcc.ac.uk

Storage and Backup

How will the data be stored and backed up during the research?

The University of Geneva has developed a long-term preservation system for archiving research data: OLOS.swiss Consequently, all pertinent documentation and research data generated during the project will be archived on OLOS.swiss The control software data is stored on institutional storage facilities (network file server, GitLab server, InfluxDB server). All these servers are configured by the IT department to be automatically backed up on a daily basis.

a5262cfe456306b7623de7a29a5af721

dmponline.dcc.ac.uk

Storage and Backup

How will you manage access and security?

OLOS.swiss offers all functionalities to guarantee access levels, embargoes, and security, if needed. The control software data is stored on institutional storage facilities (network file server, GitLab server, InfluxDB server). Access and security is managed by the IT department.

a5262cfe456306b7623de7a29a5af721

dmponline.dcc.ac.uk

Selection and Preservation

Which data are of long-term value and should be retained, shared, and/or preserved?

All documentation needed to realize the targeted system will be retain on the long term on OLOS.swiss Generated data to test the system will not be retained on the long term, but only backup for the duration of the project.

a5262cfe456306b7623de7a29a5af721

dmponline.dcc.ac.uk

Selection and Preservation

What is the long-term preservation plan for the dataset?

We expect to archive for a period of 10 years. Given we will keep only documentation, we should not need more than 1 TB. For up to 50 GB it costs about 50 euros per year (https://olos.swiss/pricing). Price will be evaluated later in the project when we will have a better idea about the volume needed.

a5262cfe456306b7623de7a29a5af721

dmponline.dcc.ac.uk

Data Sharing

How will you share the data?

OLOS.swiss has all the features for data sharing as it is a system which is compliant with the FAIR principles. Source code of control software with open source license will be published on github.com.

a5262cfe456306b7623de7a29a5af721

dmponline.dcc.ac.uk

Data Sharing

Are any restrictions on data sharing required?

Some documents that will remain private and shared only within the project partners until appropriate IP protection is sought. Then, everything should in principle become open access.

a5262cfe456306b7623de7a29a5af721

dmponline.dcc.ac.uk

Responsibilities and Resources

Who will be responsible for data management?

Pierre-Yves Burgi of the University of Geneva will be in charge of data management, and will regularly revise this DMP.

a5262cfe456306b7623de7a29a5af721

dmponline.dcc.ac.uk

Responsibilities and Resources

What resources will you require to deliver your plan?

The main output of this project is a proof-of-concept of an end-to-end system for archiving information within DNA synthetic molecules.

a5262cfe456306b7623de7a29a5af721

dmponline.dcc.ac.uk

Data Collection

What data will you collect or create?

Textual and numeric metadata and data from close reading will be collected. This data relates to cultural life in Ireland in the 1960s and will be conducted for four years, or for the duration of this project by the principle investigator, Patrick Egan. Data will be re-used from descriptive list and close reading of documents that are present in the Seán Ó Riada Special Collection at University College Cork. Data will also be used from close reading at archival repositories across Ireland. Data will also be re-used from Irish newspaper databases, which are digitised newspapers from the 1950s and 1960s. In addition to this, data will be gathered from close reading of archived documents at Raidió Teilifís Éireann (RTÉ) archives in Dublin. The total volume for this data will be 5MB, which will be raw data in .csv format. The .csv format is widely used, both in the Digital Humanities and in archives, so this format will be familiar to researchers in these areas of research. The .csv format is also being used in the field of Ethnomusicology. Additional costs will not need to be considered. Data will be easily shared on web repositories such as GitHub.com and Zenodo.org. The format of each dataset will be an open .csv file, which will be easily opened by software that is non-propietary, and this will facilitate sharing and long-term access without barriers to using the data. This format will also allow for data to be combined with other datasets, as each record will be entered into the datasets in a way that facilitates machine reading if needed. This data could complement existing datasets on Irish cultural life in the 1960s, for example letters that were shared between popular figures in artistic and political life. It would be possible to connect metadata relating those materials with the metadata from the letters in the Seán Ó Riada Collection, for example, names of people, addresses, topics contained within the letters and other relevant information that could facilitate digital analysis. As a result of the archival nature of these documents, it is envisioned that the data are of long-term value and should be preserved.

6b6f18eb0a87cd78858b358a9c34fd5d

dmponline.dcc.ac.uk

Data Collection

How will the data be collected or created?

Data will be collected through close reading of documents within archives and the literature. In each case, an iterative approach will enable constant re-editing and documentation of each piece of evidence. The methodology used for this project is based on practice theory, a form of historical enquiry that focuses on events through time to analyse how tradition had either been reinforced or changed by cultural tastemakers during the 1950s and 1960s. However, in this project, there is also an emphasis on broader cultural changes in society, and so key historical events are also included in this analysis. In addition to quantitative data being collected from archival sources, a series of interviews is also planned, which will contribute key insights into the central research question. This data will not be stored for more than five years after the research project has been completed, in line with University's policy on data retention. Each dataset will be separately created, and structured in a way that they can be easily accessed. During editing of these datasets, a record of each update will be kept with note-taking on decisions that were made during the process. To ensure quality, citations of each record of evidence will be kept, and a link will be made to versions of the datasets in the Wayback Machine, in case these website URL's are not live after the project has been completed. Peers will be consulted during the process of data collection, in order to ensure that data is being correctly recorded. Data will be updated on a local computer, but it will also be uploaded to online repositories www.GitHub.com and www.Zenodo.org when completed. Controlled vocabularies will be used where possible, in particular the use of DublinCore will ensure that data is machine readable to a degree.

6b6f18eb0a87cd78858b358a9c34fd5d

dmponline.dcc.ac.uk

Documentation and Metadata

What documentation and metadata will accompany the data?

In order for the data to be accessible and interpreted in future, a README file will accompany the data, which will outline the different fields included in the .csv files. These datasets will be described in the README, and in particular details of the creation of the documents. Also provided in the README will be a description of how the data could be used in future, to connect with other projects. Documentation of where data was collected will be provided in the descriptions of each of the datasets, for example how data was located, processed, and stored. An in-depth documentation of how data was collected and processed will also be provided in the PhD thesis, should future scholars need to access that data. Resultant visualisations from the PhD thesis will be documented and saved in the WaybackMachine. The code that was used to create these visualisations will be documented and uploaded to www.GitHub.com, and a detailed set of notes added in the PhD thesis. All resultant data will be made available for future scholars to access, and no constraints will be placed on the data. A CC BY license will be included in all publications of the data that are made available.

6b6f18eb0a87cd78858b358a9c34fd5d

dmponline.dcc.ac.uk

Ethics and Legal Compliance

How will you manage any ethical issues?

Ethical issues will be managed in line with University College Cork's SREC (Social Research Ethics Committee) policy. Documentation produced on ethics will be provided in an appendix of the PhD thesis.

6b6f18eb0a87cd78858b358a9c34fd5d

dmponline.dcc.ac.uk

Ethics and Legal Compliance

How will you manage copyright and Intellectual Property Rights (IPR) issues?

Copyright will be managed through full disclosure of sources, and data will be made available for re-use through Creative Commons licensing. No restrictions will be place on re-use, but credit will be needed for publication of data that is re-used.

6b6f18eb0a87cd78858b358a9c34fd5d

dmponline.dcc.ac.uk

Storage and Backup

How will the data be stored and backed up during the research?

Storage of data will be on personal website, www.o-em.org in the form of an SQL database, with an API service built on top to make JSON version of the dataset free to use. Data will be backed up by website backup software Jetbackup in an automated manner with daily occurrences, and the ability to restore backups from older versions of the saved files. However, this type of commercial storage is not suitable for long-term access, and so a second copy will be made available on UCC servers and also in an independent repository. For example, a further copy of the data will be available on the repositories Zenodo.org and www.GitHub.com in JSON format for open access. In the event of an incident, the project data and software developed for data visualisation will be available on these repositories.

6b6f18eb0a87cd78858b358a9c34fd5d

dmponline.dcc.ac.uk

Storage and Backup

How will you manage access and security?

Access to the data will be open, but management of the accounts hosting the data will be controlled by Patrick Egan, and all published versions of the datasets will be accompanied by contact information for the principle investigator. There is a risk that data may be compromised in the event of a breach of security on the web server used for the duration of the PhD project. However, collaborators will be enabled to access all data both on personal website and on GitHub.com. In the long term, it is hoped that the project will be preserved and made permanently available on a trusted national repository, such as the Digital Repository of Ireland (DRI). Patrick Egan's personal account on the Digital Repository of Ireland will be controlled by Patrick Egan, and access will be provided by Patrick and the administrators at the DRI.

6b6f18eb0a87cd78858b358a9c34fd5d

dmponline.dcc.ac.uk

Selection and Preservation

Which data are of long-term value and should be retained, shared, and/or preserved?

Data collected during this project from interviews will be destroyed after a period of 5 years after the project has been completed, as future research into the topic will not require access to interview material after this time. There will be a grace period, where researchers may investigate the project to understand how findings were made, but after this period of time, the research data from interviews will not be available. Other data such as metadata relating to the project will be made available in perpetuity. For example, metadata describing documents from the Seán Ó Riada Collection at the Boole Library will be important for future scholars working on the collection. This data has been appraised by archivists at the Boole Library at University College Cork. The datasets are deemed to be of archival value, and in particular they allow archivists to search amongst different areas of the Seán Ó Riada Collection, in ways that were previously inaccessible. For example, detail on the musical projects of Seán Ó Riada will allow archivists to pinpoint different files and metadata about those manuscripts will be useful. Other forseeable research uses in other projects will include broader national and international studies on Irish culture and Irish studies.

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Selection and Preservation

What is the long-term preservation plan for the dataset?

In long term, data will be made available on open repository Digital Repository of Ireland (DRI), a trusted national repository, which will allow the continued access to the material once ingested.

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Data Sharing

How will you share the data?

Information about the datasets involved in this PhD project will be made available on the personal website of Patrick Egan. A description of the data collecting will feature the potential uses, and this will also be shared both on personal websites and on GitHub and Zenodo. Information about the datasets and any attendant metadata will be ingested into the trusted national repository, the Digital Repository of Ireland.

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Data Sharing

Are any restrictions on data sharing required?

No restrictions on data sharing

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Responsibilities and Resources

Who will be responsible for data management?

Patrick Egan is responsible for implementing, reviewing and revising the Data Management Plan (DMP). Data management activities, data ownership and data curation will be the sole responsibility of Patrick Egan.

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Responsibilities and Resources

What resources will you require to deliver your plan?

A listing of books owned by Seán Ó Riada, evidence collected from searches of items within Special Collections at the Boole Library, University College Cork.

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Summary

Provide a dataset summary

There are two main dataset types: experimental and modelling. The experimental datasets consist mainly of raw data from GC (.xlsx), MFM (.txt) and potentiostat (.xlsx). The data size is between 1-1000 KB. This data is processed by a built-model and stored in a masterfile (.txt) where all the experimental information is also included. In the masterfile it can be found, the date of the experiment, the experimental conditions (concentration anolyte, anolyte, current density, etc) and the results obtained (FE CO and H2, cell voltage). The modelling dataset consists of the several versions of the model developed (python or excel, 1-1000 KB) as well as the data that is derived from them (.txt or excel, respectively). The results obtained from the model will be stored in separate textfiles. It is expected that the sum of the data generated and stored will be in the range of the GB.

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FAIR data and resources

Making data findable

Data is stored and classified in several folders according to their area (e.g: Modelling, experiments, literature, writing-papers, presentations, etc). Each file has a name with the date of creation, and a short description of what it contains. In addition, readme files can be find with further specific instructions that help finding the data. For experimental data, an overview file can be find with a detailed description of the conditions of each experiments (with units), the project it pertain to and the day of the experiment. This logging file can be used to correlate the experiments done with the data presented. For papers, the data will be published and stored in the data repositorium 4TU ( https://data.4tu.nl/) . It will be findable through a DOI created for the dataset. The DOI specific for the dataset will be attached to the paper.

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FAIR data and resources

Making data openly accessible

The data will be openly accessible using the least restrictive license: CC-BY. Our objective is to enhance the sharing and use of the knowledge we have generated as much as possible. The data will be available as soon as the paper is published, via the 4TU data repository: ( https://data.4tu.nl/) . From the publisher website it will be accessible through the dataset DOI created in the data repository.

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FAIR data and resources

Making data interoperable

To make data interoperable a masterfile will be provided, in which the experimental conditions together with the results obtained from the experiments are summarised. The experimental conditions include the anolyte identity, anolyte concentration, anode and cathode material, and current density. The results will mainly consist of the cell voltage, faradaic efficiency for different products and the mass flow meter data. In addition, the methodology will be described in the paper. It is expected that with all this information, anyone can reproduce the exact same experiment.

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0. Administrative questions

Name of data management support staff consulted during the preparation of this plan.

The data for my project was discussed with my supervisor and mentor.

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IV. Legal and ethical requirements, codes of conduct

How will ownership of the data and intellectual property rights to the data be managed?

For projects involving commercially-sensitive research or research involving third parties, seek advice of your Faculty Contract Manager when answering this question. If this is not the case, you can use the example below. The data we collect and the results from it will be co-owned by myself and xyz.

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IV. Legal and ethical requirements, codes of conduct

Please list the categories of data subjects

TUD Students from my personal network.

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IV. Legal and ethical requirements, codes of conduct

Please describe the informed consent procedure you will follow:

People I interview will sign an adapted form of the consent form provided by TU Delft (HREC).

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VI. Data management responsibilities and resources

If you leave TU Delft (or are unavailable), who is going to be responsible for the data resulting from this project?

My project - along with all of its data - will likely be deleted if I leave the university. If I am working with anyone who wishes to continue the work, I will leave a copy of the data with my supervisor, .

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VI. Data management responsibilities and resources

What resources (for example financial and time) will be dedicated to data management and ensuring that data willbe FAIR (Findable, Accessible, Interoperable, Re-usable)?

None - I will handle all data management on my own using resources provided by the university.

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Data Collection

What data will you collect or create?

ResearchManager (RM) proprietary software will be used for this on-line survey. RM is developed in Microsoft .NET framework using ASP.Net. RM user interface contains components from Progress TelerikRadControl for ASP.NET AJAX All RM data stored on behalf of the customer is solely the property of the PI supported by a signed Processing Agreement This software has been chosen as it has been used in a similar study and supports randomisation of questions to participants. Responses to an on-line survey will include: 1. 5 'tick-box' responses related to consent 2. 8 demographic questions with 'tick box' responses 3. 10 'tick-box' response to questions 4. 5 percentage figures There will be no free text The above will be collected from approx. 300 participants. These data will be in megabytes and exportable to Excel, Word, pdf or SPSS format (.sav) Data volumes will be megabytes posing no concerns for volume, access, preservation or sharing.

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Data Collection

How will the data be collected or created?

Use testing of the survey will be completed before the survey goes live. During testing, data capture and transfer reliabilty will be tested. Once the survey goes live, responses will be reviewed intermittently by the PI using a 2-factor authentication access with a 6-digit password

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Documentation and Metadata

What documentation and metadata will accompany the data?

The full study protocol will be available, for reference, for the research team throughout the study. The final protocol will be stored in SharePoint at the Dept of Health, Victoria. Contemporaneous notes will be taken throughout the study in a Microsoft Word document which will be stored on SharePoint All notes and data will be anonymous. A README.txt file will be created to track the file characteristics of the study. Specifically, this will record the name of each file and the location where it is stored.

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Ethics and Legal Compliance

How will you manage any ethical issues?

ACCORD Research and Development sponsorship has been sought for this study. Approval form the Edinburgh Medical School Research Ethics Committee (EMREC) will be sought before the study commences. The Dept of Health and Dept of Families, Fairness and Housing Human Research Ethics Committee - Victoria Australia has approved this study The PI has an up-to-date Good Clinical Practice certificate Consent Consent will be taken electronically. Invitees will be provided with an electronic participant information sheet which they will be able to download and retain a copy of. Invitees will be asked to confirm their consent to participate as well as for their anonymised data to be used for analysis, presentation and publication. Participants can withdrawal from the study at any point prior to submission of data. As the data will be provided anonymously, participants will not be able to withdraw after data submission.

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Ethics and Legal Compliance

How will you manage copyright and Intellectual Property Rights (IPR) issues?

RM data stored on behalf of the customer is solely the property of the PI supported by a signed Processing Agreement

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Storage and Backup

How will the data be stored and backed up during the research?

Hardware/software security RM servers are located in secured and certified data centers in Australia. RM datacenters are Tier 3+ and certified for ISO 9001, 14001,ISO 27001:2013, NEN7510 and ISAE 3402. Within the secure area of our datacenters there are RM specific secured cabinets which are only accessible for authorized RM staff. Hardware/software security Internet connection between client and RM is securedthrough certificates from Sectigo. Secure connection RM has a continuous mirrored dedicated back up server on asecure location (3 months storage). The backups areencrypted (AES 256). RM has a weekly full backup to a dedicated server on a securelocation (3 months storage). The backups are encrypted (AES 256). RM has a daily incremental backup. Backup restore is tested periodically.

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Storage and Backup

How will you manage access and security?

RM has a role based access management system. SSO connection based on SAML is available. 2FA is available for accounts using username and password.A 6 digit code is part of 2FA. Authorisation to perform certain operations within theapplication are assigned to specific roles and can beenforced on application, tool, study, site and patient level. Level of password strength can be enforced by the RMsystem administrator. Password change policy can be enforced for a specificperiod by the RM system administrator.

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Selection and Preservation

Which data are of long-term value and should be retained, shared, and/or preserved?

All data will be retained for 5 years and saved on a password protected computer at the Dept of Health, Victoria Australia

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Selection and Preservation

What is the long-term preservation plan for the dataset?

Data will be deleted after 5 years

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Data Sharing

How will you share the data?

The output from this study will include a peer reviewed journal publication. Source data (all anonymised) will be available to other researchers upon request.

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Responsibilities and Resources

Who will be responsible for data management?

The PI will be responsible for all data management

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Responsibilities and Resources

What resources will you require to deliver your plan?

A 3-year on-line course - University of Edinburgh

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0. Administrative questions

Name of data management support staff consulted during the preparation of this plan.

The review by the data steward is optional. If you don't request feedback - write it here, and leave the field below empty. To request feedback, use the "Request feedback" tab above. If I don't reply within a few working days, do send me a reminder directly to me (you should find my email somewhere online).

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IV. Legal and ethical requirements, codes of conduct

Please list the categories of data subjects

Indicate here who you will interact directly or indirectly. Indicate the country of where they are located if possible. Common answers are similar to: Experts in the field of energy production, including members of start-ups, private company, and local public representative (municipality) in the Netherlands Survey respondents recruited through personal and professional network (LinkedIn) Members of NGO active in the field of food safety located anywhere in the world. Employees of KLM operating in San Martin, working on emergency systems Participants in the event/workshops/lecture ... Bike users of Delft - interviews, field work Note for "The citizen of city X", or "General inhabitant for neigh". Please provide info on recruitment of the participants here. Example: Citizen of the neighborhood X, contacted through the local pet owner group. Citizen of Amsterdam, survey distributed by city hall to specific bike users

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IV. Legal and ethical requirements, codes of conduct

Please contact the privacy team (

[email protected] ) for advice on data transfer. Please also bring your draft DMP when contacting the privacy team. Please record below their advice, the data transfer mechanism used and agreed security measures: Update this field if the privacy team has provided advice on this.

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V. Data sharing and long-term preservation

When will the data (or code) be shared?

You can always delay the publication - embargo, confidentiality ...

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FAIR data and resources

Making data findable

I have obtained ethical clearance from the Human Research Ethics Committee of the University of Tartu to collect data from participants on academic writing courses and/or groups at the University of Tartu (Kooskolastus_36 8T-18) for the duration of this research project. As it has been deemed that the data collected from the human participants is both personal and sensitive, all data collected is only accessible to the principal Investigator (Roger Yallop) and the named collaborating researchers as to the terms and conditions of the ethical clearance. Therefore, this research project will not participate in FAIR data.

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FAIR data and resources

Making data openly accessible

Due to the stipulation of the ethical clearance protocol, all collected datasets will only be accessible to the PI and collaborating researchers. No data will be made readily available to researchers from outside this research project.

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FAIR data and resources

Making data interoperable

As all the datasets are closed, there will be no interoperability for this study.

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FAIR data and resources

Allocation of resources and data security

There will be no open access of data for this project. As such, this question is not relevant.

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Data Collection

What data will you collect or create?

The data collected for this research consists of archival documents, memoirs and secondary literature on Transylvanian Armenians, as well as research data on their genealogy.

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Data Collection

How will the data be collected or created?

All the data will be collected from the archives, libraries and on-line resources. Krčmérys’ family archive will also be used for comparison and analysis. For the data collection a visit to Budapest and several meetings with Armenologists and prominent Armenians are planned there. Rich material of ‘Orer’ Armenian European Magazine (co-founded by me) on Transylvanian Armenians, (i.e Armenians in Hungary, Romania, Western Ukraine) will also be used. A new family tree will be drawn as new data on Silvester Krčméry’s ancestors.

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Documentation and Metadata

What documentation and metadata will accompany the data?

No additional documentation and/or metadata will be created in this research.

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Ethics and Legal Compliance

How will you manage any ethical issues?

The extended Krčméry family is very much waiting and ready for any material, thus all the data is firstly discussed with the family members. Other legal and ethical issues will be handled according existing guidelines, as well as responsible and proper citation.

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Ethics and Legal Compliance

How will you manage copyright and Intellectual Property Rights (IPR) issues?

I retain the copyright and intellectual property rights (IPR) for my work. The research will be available to the public through open- access.

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Storage and Backup

How will the data be stored and backed up during the research?

The data collected during this research will be stored on my personal computer, my flash disk, which is used for backups, as well as an external data storage disk with all of my collected material.

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Storage and Backup

How will you manage access and security?

Although there are no security risks in this case, my main computer, the flash disk with collected data and external storage are always kept at home and no one can have access to my research data.

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Selection and Preservation

Which data are of long-term value and should be retained, shared, and/or preserved?

I have all the photos of archival documents and pages of secondary literature, as well as the downloads of on-line resources. All the collected data will be preserved a/ for using any moment if necessary b/ for new studies. There are no contracts or legal regulations demanding the deletion of the collected data for this research.

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Selection and Preservation

What is the long-term preservation plan for the dataset?

I will keep the collected materials in the aforementioned storages for at least five years to ensure easy future access and reference if necessary.

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Data Sharing

How will you share the data?

The collected material is not for sharing. One photo will be shared with Silverster Krčméry’s extended family. The outputs will have open access.

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Data Sharing

Are any restrictions on data sharing required?

The collected data for this research is not for sharing. My research has and will remain GDPR compliant, ensuring data protection and privacy.

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Responsibilities and Resources

Who will be responsible for data management?

I will be responsible for the data before the publication of the article which is planned at the end of 2024 or at the beginning of 2025.

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Responsibilities and Resources

What resources will you require to deliver your plan?

I will not need any additional requirements for this data.

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Data Summary

Briefly introduce the types of data the research will create. Why did you decide to use these data types?

My research will create text data primarily from archival sources and published sources such as newspapers and magazines. The project also involves obtaining audio content during oral history interviews, these materials will be recorded on an encrypted recording device and transcribed by me personally. It is also possible that I will use written questionnaires instead of audio interviews.