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Accessibility and long-term storage
Will specific systems, software, source code or other types of services be necessary in order to understand, partake ofor use/analyse data in the long term?
Databas REDCap, ett system via Karolinska insitutet. All datainsamling dokumenteras och arkiveras i ELN eller andra av KI godkända platser för arkivering.
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dmponline.dcc.ac.uk
Accessibility and long-term storage
How will the use of unique and persistent identifiers, such as a Digital Object Identifier (DOI), be safeguarded?
Samtliga deltagare har sedan tidigare testning redan ett kodnummer. Under datainsamlingen kommer personens namn kontrolleras mot hens kodnummer vid respektive undersökning för att insamlade uppgifter ska registreras på rätt person. Kodlista med namn är tillgänglig för forskningsledarna under hela datainsamlingen för att kunna matcha rätt person med rätt kodnummer vid testningen. När alla insamlade uppgifter samlas i databas och statistikprogram anges endast kodnummer och kön. Kodnyckeln förvaras i låst utrymme i forskargruppen
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dmponline.dcc.ac.uk
Responsibility and resources
Who is responsible for data management and (possibly) supports the work with this while the research project is inprogress? Who is responsible for data management, ongoing management and long-term storage after the researchproject has ended?
Maria Westerståhl is responsible for data management during the progress of the study as well as after the research project has ended
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dmponline.dcc.ac.uk
Responsibility and resources
What resources (costs, labour input or other) will be required for data management (including storage, back-up,provision of access and processing for long-term storage)? What resources will be needed to ensure that data fulfilthe FAIR principles?
The cots will be covered by the division - during the study by the grant from Sweedish research council and after the study by the government founding
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dmponline.dcc.ac.uk
0. Administrative questions
Name of data management support staff consulted during the preparation of this plan.
My faculty (TPM) data steward, Nicolas Dintzner, has reviewed this DMP on 24-4-2024.
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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. Research is an internal MSc Thesis within the TU Delft. Datasets regarding energy consumption and generation will not be made publicly available.
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dmponline.dcc.ac.uk
IV. Legal and ethical requirements, codes of conduct
Please list the categories of data subjects
The inhabitants of The Green Village.
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dmponline.dcc.ac.uk
VI. Data management responsibilities and resources
Is TU Delft the lead institution for this project?
Other involved party is The Green Village. TU Delft and The Green Village share an overarching Data Exchange Agreement.
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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?
Thesis supervisors Özge Okur ([email protected]) and Na Li ([email protected]).
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dmponline.dcc.ac.uk
General Information
Registration number at the Swedish Research Council
2023-02207
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dmponline.dcc.ac.uk
Description of data – reuse of existing data and/or production of new data
How will data be collected, created or reused?
Routine data from histopathology reports from Swedish pathology departments have been collected. Data are digital. They will be re- used. Data concern the gastrointestinal tract. Individuals with a gastrointestinal biopsy report have been linked to the national Swedish Health register. Through the Statistics Sweden, matched controls, and first-degree relatives have also been identified and matched to health registers.
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Description of data – reuse of existing data and/or production of new data
What types of data will be created and/or collected, in terms of data format and amount/volume of data?
This is described in the study review: https://pubmed.ncbi.nlm.nih.gov/30679926/ Data from the 28 pathology departments will be stored in Excel and SAS format. Data from national registers from Socialstyrelsen and SCB will be stored in SAS and SQL format.
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dmponline.dcc.ac.uk
Documentation and data quality
How will the material be documented and described, with associated metadata relating to structure, standards andformat for descriptions of the content, collection method, etc.?
A documentation of the data was produced in April 2019, and contains the following headlines. This documentation is continuously updated. Contents Brief information about the Histoepidemiology project (ESPRESSO). Background Aim Brief information about the data (ESPRESSO) Other datasets that were linked to ESPRESSO Quality insurance of ESPRESSO Data sources More about Data clearing in ESPRESSO using information from SCB Folder structure WORK DESCRIPTION for Histoepidemiology study Access to ESPRESSO in SQL Persons in charge Statisticians Database administrator tasks Datasets in SQL ESPRESSO Codebooks A codebook has been constructed by database manager Mariam Lashkariani. All studies are preceded by analyses plans. Working files are clearly labelled using dates (rather than version suffices)
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dmponline.dcc.ac.uk
Documentation and data quality
How will data quality be safeguarded and documented (for example repeated measurements, validation of data input,etc.)?
Quality controls were applied when we received data from Swedish Pathology departments and from the National Healthcare registers, and will be applied again when the data are updated. Quality controls included checking dates for emigration/death and birth in relation to biopsy dates. Quality controls also included checks of sex proportion, age distribution, but we also plan to re-run some important studies in the new dataset to see that results align with similar Swedish data. The completeness of the linked data is assured by relevant government committees (Socialstyrelsen and SCB).
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dmponline.dcc.ac.uk
Storage and backup
How is storage and backup of data and metadata safeguarded during the research process?
Access to and storage of data is guarded strictly by IT-policy at the department with different levels of authorization given to a user (researcher/non-researcher) on the PI’s approval. Data will be stored in the P:\ at the central server of MEB (department).
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dmponline.dcc.ac.uk
Storage and backup
How is data security and controlled access to data safeguarded, in relation to the handling of sensitive data andpersonal data, for example?
The department’s research data and other storage are backed up every day with snapshots of different versions available to recall. Also access to the data saved on the server is restricted to group members/authorized personnel. Data cannot be shared with outside researchers due to limitations of the ethics approval and the approvals of the different pathology departments, but the same data can be retrieved from the national healthcare registers and through contacting the participant pathology departments.
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dmponline.dcc.ac.uk
Legal and ethical aspects
How is data handling according to legal requirements safeguarded, e.g. in terms of handling of personal data,confidentiality and intellectual property rights?
KI as an organization complies with GDPR in both legal and ethical aspects. Handling of data is always done decoupled from identifiers. No identifiable data is published or shared publicly. Data is kept at secure servers within the KI firewall. The key that can be used to identify individuals is only available to the relevant Swedish Government agency handling the matching. More information can be found at www. https://medarbetare.ki.se/gdpr
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dmponline.dcc.ac.uk
Legal and ethical aspects
How is correct data handling according to ethical aspects safeguarded?
Handling of data is always done decoupled from identifiers. No identifiable data is published or shared publicly. Documentation of ethical approvals (applications, amendments and decisions) and informed consent forms for the project are stored in the project folder electronically (and in the paper archive, if relevant). Ethical approvals are registered in the diary. Linked data have been pseudonymized. The code key for pseudonymized data is kept by Statistics Sweden ( https://www.scb.se/) No physical data are stored. (no paper CRFs are stored)
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dmponline.dcc.ac.uk
Accessibility and long-term storage
How, when and where will research data or information about data (metadata) be made accessible? Are there anyconditions, embargoes and limitations on the access to and reuse of data to be considered?
The data and all material is archived by the IT section at the department as per the archiving guidelines at the Department of Epidemiology and Biostatistics, and is made accessible whenever required (legally and ethically). No one is given access to the archived material without legal & ethical permissions, which are in general sought through the university’s registrar office. Because of the presence of personal data, only metadata will be published and shared openly
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dmponline.dcc.ac.uk
Accessibility and long-term storage
In what way is long-term storage safeguarded, and by whom? How will the selection of data for long-term storage bemade?
As described above the data is archived by the IT at the department and safeguarded with no access given to any user unless permitted legally and ethically. The archiving guidelines include instructions for selection of files necessary to ensure reproducibility of published results, as well as safeguarding the use and readability of valuable data for future research. This includes ensuring that data, metadata and other documentation are saved in stable data file formats over time. The data will be stored until the PI Ludvigsson retires.
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dmponline.dcc.ac.uk
Accessibility and long-term storage
Will specific systems, software, source code or other types of services be necessary in order to understand, partake ofor use/analyse data in the long term?
Materials that are used for the data management, analysis and results are stored in a readable format, in order to understand, partake of or use/analyse data in the long term, as according to departmental documentation guidelines. The following software are used to analyse data: SAS; Stata; R; and SPSS
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dmponline.dcc.ac.uk
Accessibility and long-term storage
How will the use of unique and persistent identifiers, such as a Digital Object Identifier (DOI), be safeguarded?
The university has a central database with DOIs of all the published articles, which is backed up regularly
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dmponline.dcc.ac.uk
Responsibility and resources
Who is responsible for data management and (possibly) supports the work with this while the research project is inprogress? Who is responsible for data management, ongoing management and long-term storage after the researchproject has ended?
Ludvigsson (PI) has the overall responsibility for data management and long-term preservation of data while the research project is in progress. Ludvigsson also has the overarching responsibility for the above when the research project has ended.
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dmponline.dcc.ac.uk
Responsibility and resources
What resources (costs, labour input or other) will be required for data management (including storage, back-up,provision of access and processing for long-term storage)? What resources will be needed to ensure that data fulfilthe FAIR principles?
Scientific paper: Conditionally Accepted. J Autoimmunity 2024.
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dmponline.dcc.ac.uk
1. Project details
Provisional project title:
Accounting for individual variability in landscape connectivity modelling: An integrative framework to identify spatial priorities for brown bear (Ursus arctos) conservation across Europe
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dmponline.dcc.ac.uk
1. Defining your data
What formats and software will you use?
1. Collected and reviewed scientific publications will be managed using Mendeley. Data will be extracted manually to a MS Excel sheet, cathegorised and assessed. 2. Bear telemetry data will be managed using MS Excel, and converted to CSV files to be mapped and processed in ArcGIS and R. Analyses employing this data will be mainly done using R. 3. Environmental information will be processed and extracted using ArcGIS and R. Generated codes from the analyses will be saved as .rmd and .r; and uploaded in Github, in a private repository <bearmovecode> shared with my Director of studies. Results from the analyses will be mapped and studied using ArcGIS and QGIS. The generated maps and layers will be saved as .shp, .asc and .tiff files.
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1. Defining your data
How much data do you expect to generate?
All the data used in my research is secondary data. It has been collected by external persons, and I will not be collecting any data during the life of this project but use the above mentioned to generate research publications and to write my PhD Dissertation . Multiple files will be generated to store and manage all the information to be used: 1. Information collected from reviewing previous research in a .xslx file of ~ 1,200 KB 2. Telemetry data in a .csv file of ~ 50,000 KB; multiple .shp of 15,000 to 50,000 KB 3. Spatial environmental layers in .grid, .asc or .tif fomat, of ~ 100 GB in total Generated codes of ~20 KB Generated multiple maps .tif of 20,000 KB each
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2. Compliance & data ownership
What do you need to do to comply with these obligations?
I will need to request permission to access and use the bear telemetry data (B) owned by external Institutions. This dataset will be restricted to myself and the supervisors of my project. I will be working with three external colaborators, part of my supervisor team . These collaborators are researchers and practisioners with a great career on studying brown bear ecology, behaviour, conservation and management across Europe. They have collaborated in previous projects with the Research Institutes owning the telemetry data, and they have good knowledge of the dataset I will be using in this project. I will send to the owners of the data a request by email before starting a new analysis . In this email I will include an abstract of the investigation to be addressed using their sensitive data. I will not start any analyses until I obtain a confirmation reply to my request from these parties. The principles of data minimisation will be followed during this project, and only the data specifically needed for this research will be collected. All sensitive data will be stored securely on NTU systems during the life of my project . Details on how this project will meet the policies regarding data sharing and security can be found in sections 3 - 5.
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3. Working with your data
Who else is allowed to access this data during the project?
Access to the NTU DataStore folder containing sensitive data will be restricted to myself and to those supervisors who have been granted access to the data. This way I will ensure that whilst I am conducting trainning overseas, at least one member of the supervisory team in the UK has access to the data. The full supervisors team will have access to my non-sensitive data during the project. Once, requested, I will share the data of interest in a shared folder of a Private Channel in Microsoft Teams.
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3. Working with your data
How will you organise your data folders?
Folders general structure and substructure for each type of data I will be using: A. :/<project>/< literature >/ /<>/<files> /<maps>/<files>
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dmponline.dcc.ac.uk
3. Working with your data
How will you name your files?
By data type, following from above: A. Previous scientific research and projects information literature /<.tiff
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3. Working with your data
How will you manage different versions of your files?
Sensitive data will be appended with 'v1' and 'v2' etc, but multiple versions will be avoided where possible. R script and folders containing generated data that can be publicly shared will be managed in my Github account. Also, the last versions of my codes that can be publicly shared writen in R Markdown will be shared in Rpubs with my supervisors.
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3. Working with your data
How will you ensure your data is understandable to others?
R scripts will be thoroughly commented, and formatted to be read easily by R markdown. A readme text file will also be created in each folder to explain structure of the folders and what is contained in each file. Maps will include a clear legend with all the elements presented. Grids or any other geographical references in maps will be provided as long as this is not contrary to the conditions established to protect sensitive data. Captions will be added to both graphs and maps when included in the dissertation text to describe the information presented.
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4. Archiving your data
What data should be kept, or destroyed, after the end of your project?
At the end of my project the access to sensitive data will cease, and all copies will be shared to the owner of the data and destroyed from the user hard-drives or NTU system. As non-sensitive and shareable data, I will keep my research outputs (publications, methodological framework, analyses results) and make it openly available with as few restrictions as possible. The rest of the data that would be required to replicate any findings (codes, environmental layers) will be also kept and shared.
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4. Archiving your data
When will you archive your data?
All the archived data, that will be publicly available, will be uploaded before submitting any analyses outcomes for publication/peer review.
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4. Archiving your data
How long will the data be archived for?
Following the NTU Records Retention Schedule, the research data archived and shareable will be retained for 10 years from the date of deposit.
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5. Sharing your data
How will others learn that your data exists?
All shareable data will be made known or visible through open access scientific publications, including data citation and data access statement. The information generated along the project will be also available in the above mentioned repositories (Figshare, R-pubs, Github), fully searchable and free to use. After submission and depositing my shareable data in the mentioned repositories, I will register my data with NTU by submitting a Data Registry Form. A metadata record for my research data will be created in NTU IRep. This record will offer a full description of my data, as well as linking directly to the record of all associated publications and codes.
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6. Implementing your DMP
How often will this plan be reviewed and updated?
My supervisor team will review this plan every 12 months at annual monitoring, or sooner if required, and I will make the appropiate updates.
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6. Implementing your DMP
What actions have you identified from the rest of this plan?
I will complete and send the Active Research Data Storage to store my sensitive data along the life of my project. All agreements to use the bear telemetry data will be required at the beginning of the project including the ethical, legal or contractual constraints on data access if considered by the owners. Thus, I will provide a writen proof of the request and the permission given by the owners of the data, allowing me to access and use the data along the life of the project.
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dmponline.dcc.ac.uk
6. Implementing your DMP
What support/ information do you need to complete these actions?
I will consult the NTU Library RDM webpages and contact the NTU Research Data Management Officer to help check over the DMP and ensure that the data storage and shared options proposed are appropriate for the research intended.
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4. Data security
Address data recovery as well as secure storage and transfer of sensitive data
OneDrive for Business, provided as part of the University’s Nexus365 offering, has been approved by the University’s Information Security team for the storage of research data. The recording of data on electronic equipment during fieldwork (audio recorders, video or photographic cameras) shall be encrypted and password protected. Devices containing personal data will be protected by whole disc encryption. The Code42 Cloud backup service will be used to backing up single-user computes, or laptop where a single user can take ownership of the backups during fieldwork. Identifiable data (including oral or written consent forms) will be stored on the University of Oxford's servers and will be held in accordance with its data protection policies https://researchsupport.admin.ox.ac.uk/policy/data/ . Research data will be stored for 5 years after publication or public release of the work of the research according to the MSC grant agreement. The purpose of storing this information is to be able to follow up the cultivation with the people interviewed. To manage personal data the project will include pseudonymised data as part of a “data minimisation” strategy aimed at minimising the risks of a data breach for data subjects. Scientific publications will be hosted on their own websites. The researcher, the research team, the supervisor, and authorised personnel within University of Oxford will have access to the research data. Information could be shared with third parties (e.g., collaborators, translators) during the preparation of results and outputs. The people from the project partners involved in the filming of the documentary will generate audio and video files and will have access to them during the production of the documentary. Research data may be also transferred to, and stored at, a destination outside the UK and the European Economic Area (e.g., in online databases). Identifiable data will be removed whenever possible, and any data transfer will be done securely and with a similar level of data protection as required under UK law.
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6. Other
Refer to other national/funder/sectorial/departmental procedures for data management that you are using (if any)
This documentary deals with researcher Andrés Teira Brión's investigation into a cereal that is almost extinct in the northwest of the Iberian Peninsula. In his research, Andrés takes us to meet the last millet farmers, and through their voices, we get to know the gradual abandonment of the rural world in this contemporary world. This work was recorded throughout the year 2023 in different locations in Portugal, Asturias and Galicia.
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Project Details
Dissertation/ project title:
How music heals
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Data Collection
Will you be using any secondary data for this project? Please outline what kind of secondary data you will be usingbelow:
No, I will only be using primary data.
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dmponline.dcc.ac.uk
Data Collection
Please can you describe how you plan on conducting data collection using these methods:
I will conduct data collection by attending the choir sessions and observing the other members alongside engaging in conversation with them.
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dmponline.dcc.ac.uk
Research Ethics
Please explain how you will collect informed consent:
I will let the members of the choir know why I am there and what university I attend when I introduce myself. I will seek oral consent from everyone and I will not seek it constantly however I will reiterate what I am researching and doing there on multiple occasions. So far I have done so at the start of every session as I reintroduce myself to the group. I will ensure that I have gained consent especially from the people I refer to in my report. I will always tell participants that they are under no obligation to share anything with me and at any point if they feel uncomfortable or don’t want certain information shared, I will instantly revoke it. I will further anonymise all participants.
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dmponline.dcc.ac.uk
Research Ethics
Once you have collected proof of consent, you will need to store it safely. Please can you explain below how you planto do this:
I will anonymise all participants and use pseudonyms where needed. Of course certain information especially in the mental health field is more identifiable so I will either create characters based off of participants to remove any possibility of identification or ensure I have clear written consent for blatantly identifiable information. My field notes are on my phone however are password protected. I will not be audio recording any of the interactions.
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dmponline.dcc.ac.uk
Research Ethics
If you are collecting primary data from research participants, you are required to anonymise the dataset so thatindividuals are not identifiable. How do you plan to do this?
By either using pseudonyms or creating new characters/personas to reflect certain members who I will give the same characteristics.
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dmponline.dcc.ac.uk
Data Storage & Security
You selected 'Other.' Please can you explain below where you will store your dissertation/ research project while youare working on it:
I will be storing it on my personal devices and google docs.
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dmponline.dcc.ac.uk
Data Storage & Security
You selected 'Other.' Please explain below where you will store any primary data you collect:
I will be storing it on my personal devices and google docs.
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dmponline.dcc.ac.uk
General Information
Registration number/corresponding
2020-06352
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dmponline.dcc.ac.uk
Description of data – reuse of existing data and/or production of new data
What types of data will be created and/or collected, in terms of data format and amount/volume of data?
The audio will be stored as .wav and .mp3 files, the datasets as .csv and .RDS files, and scripts as .R files. The uncompressed audio files in the .wav format require more storage space (here, ~15 GB for the entire project), but this uncompressed format ensures optimal quality for acoustic analysis. The compressed .mp3 format is also provided for ease of use.
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dmponline.dcc.ac.uk
Documentation and data quality
How will the material be documented and described, with associated metadata relating to structure, standards andformat for descriptions of the content, collection method, etc.?
Each published paper has an associated project page on OSF and a dedicated folder in the institutional data archive. These all follow a similar structure, with separate folders for raw data, which usually include the following: audio, datasets (with a README file explaining the variables in each dataset), and analysis scripts (again, with a README file explaining what each script does, as well as with extensive comments within each script).
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dmponline.dcc.ac.uk
Documentation and data quality
How will data quality be safeguarded and documented (for example repeated measurements, validation of data input,etc.)?
All included data is part of peer-reviewed publications.
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dmponline.dcc.ac.uk
Storage and backup
How is storage and backup of data and metadata safeguarded during the research process?
In addition to being stored on research laptops and external hard drives, it is deposited on OSF (a separate project per study) and in the institutional archive.
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dmponline.dcc.ac.uk
Storage and backup
How is data security and controlled access to data safeguarded, in relation to the handling of sensitive data andpersonal data, for example?
There is no sensitive or personal data associated with the project. All participants are anonymous because data collection takes place online (prolific.com).
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dmponline.dcc.ac.uk
Legal and ethical aspects
How is data handling according to legal requirements safeguarded, e.g. in terms of handling of personal data,confidentiality and intellectual property rights?
There is no sensitive or personal data associated with the project. All participants are anonymous because data collection takes place online (prolific.com). No copyrighted material is used in the project.
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dmponline.dcc.ac.uk
Legal and ethical aspects
How is correct data handling according to ethical aspects safeguarded?
Because the collected data does not include sensitive information or personal identities, it is freely shared in its entirety with the research community.
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dmponline.dcc.ac.uk
Accessibility and long-term storage
How, when and where will research data or information about data (metadata) be made accessible? Are there anyconditions, embargoes and limitations on the access to and reuse of data to be considered?
All data are permanently stored in two publicly available depositories: OSF (osf.io, one project per published study) and the institutional archive at Lund University.
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dmponline.dcc.ac.uk
Accessibility and long-term storage
In what way is long-term storage safeguarded, and by whom? How will the selection of data for long-term storage bemade?
All data necessary for understanding and replicating each study is made available (experimental stimuli, participants' responses, scripts for processing and analysis, etc.).
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dmponline.dcc.ac.uk
Accessibility and long-term storage
Will specific systems, software, source code or other types of services be necessary in order to understand, partake ofor use/analyse data in the long term?
The audio, datasets, and scripts are stored in standard, widely supported file formats (wav, mp3, csv, R, plain text). All software necessary for processing the data and replicating each experiment is listed in the scripts, with the versions of key libraries.
c7098e43ff93b8519d4e5917aed03e37
dmponline.dcc.ac.uk
Accessibility and long-term storage
How will the use of unique and persistent identifiers, such as a Digital Object Identifier (DOI), be safeguarded?
Each published study and its associated OSF repository are assigned unique, permanent DOIs.
c7098e43ff93b8519d4e5917aed03e37
dmponline.dcc.ac.uk
Responsibility and resources
Who is responsible for data management and (possibly) supports the work with this while the research project is inprogress? Who is responsible for data management, ongoing management and long-term storage after the researchproject has ended?
Andrey Anikin and Lund University are responsible for data management and storage.
c7098e43ff93b8519d4e5917aed03e37
dmponline.dcc.ac.uk
Responsibility and resources
What resources (costs, labour input or other) will be required for data management (including storage, back-up,provision of access and processing for long-term storage)? What resources will be needed to ensure that data fulfilthe FAIR principles?
A project folder for permanent archiving is provided by Lund University IT services.
c7098e43ff93b8519d4e5917aed03e37
dmponline.dcc.ac.uk
Data Collection
What data will you collect or create?
The project will involve generating, storing and analysing two main forms of data: spectrograms generated from commercial studio recordings of music; and formant frequencies (which are recorded as numerical frequencies in units of Hertz (Hz)) derived from those spectrograms. In line with best practice in phonetics and phonology, the spectrograms generated in Praat are saved as screenshots within Word documents saved in a secure OneDrive location. Numerical data is similarly stored in both Word and Excel files and is also backed up to OneDrive. Neither form of data requires large storage space and cannot be saved within the software packages used to generate it; the approach I have used therefore represents the most practical, efficient and secure means of storing the data.
6b298bdabf4f4acfea7fcdcc0d4048d6
dmponline.dcc.ac.uk
Data Collection
How will the data be collected or created?
Both forms of data are generated using Praat, an open-source acoustic analysis package designed for, and used by, researchers in the fields of phonetics and phonology. As well as the 'raw' formant frequencies in Hz, I will also work with normalised versions of this data. This will be done using NORM, an online vowel normalisation suite, which I will also use to plot the formant frequencies (both raw and normalised) in graph form.
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dmponline.dcc.ac.uk
Documentation and Metadata
What documentation and metadata will accompany the data?
The PhD thesis will contain all the data generated during the course of the project, either in the main body of the thesis or in appendices. Because the PhD is in Music but uses data generation and analytic techniques more commonly employed in linguistics, the thesis itself will contextualise the data and provide guidance for readers as to its interpretation. Linguists or musicologists with expertise in acoustic analysis, meanwhile, will have no difficulty in accessing and interpreting the data in its 'raw' form, since it will be recorded and made available in easily accessible formats (i.e. Excel workbooks and Word documents) that require no further processing to render them useable.
6b298bdabf4f4acfea7fcdcc0d4048d6
dmponline.dcc.ac.uk
Ethics and Legal Compliance
How will you manage any ethical issues?
As the data is not sensitive or confidential, there are no ethical concerns surrounding its storage and access. The recordings from which the spectrograms and frequencies are derived are publicly available via download or streaming services so there are no issues pertaining to consent.
6b298bdabf4f4acfea7fcdcc0d4048d6
dmponline.dcc.ac.uk
Ethics and Legal Compliance
How will you manage copyright and Intellectual Property Rights (IPR) issues?
Upon completion of the PhD, my data will either be declared public domain or shared under a Creative Commons licence (likely the former).
6b298bdabf4f4acfea7fcdcc0d4048d6
dmponline.dcc.ac.uk
Storage and Backup
How will the data be stored and backed up during the research?
In line with best practice in phonetics and phonology, the spectrograms generated in Praat are saved as screenshots within Word documents saved in a secure OneDrive location. Numerical data is similarly stored in both Word and Excel files and is also backed up to OneDrive. Neither form of data requires large storage space and cannot be saved within the software packages used to generate it; the approach I have used therefore represents the most practical, efficient and secure means of storing the data. I am solely responsible for backing up the data and ensuring it can be recovered. If I am unable to recover the data in the event of an incident, I will seek help from IT Services at Newcastle University.
6b298bdabf4f4acfea7fcdcc0d4048d6
dmponline.dcc.ac.uk
Storage and Backup
How will you manage access and security?
Since the data is not sensitive or confidential, the security risks are minimal. All the data generated will ultimately be published in my thesis (either in the main body or in appendices), which I understand will be stored in Newcastle University's institutional research repository. Similarly, I understand that the data itself will be stored in the institution's research data repository upon completion of the PhD. As I am the sole author and investigator, there will be no need to ensure the data can be shared with collaborators.
6b298bdabf4f4acfea7fcdcc0d4048d6
dmponline.dcc.ac.uk
Selection and Preservation
Which data are of long-term value and should be retained, shared, and/or preserved?
None of the data I generate will be subject to restrictions on how long it can be retained. Other researchers carrying out work in this area will be able to access all the data directly via the thesis itself, or via Newcastle University's research data repository, upon completion of the PhD.
6b298bdabf4f4acfea7fcdcc0d4048d6
dmponline.dcc.ac.uk
Selection and Preservation
What is the long-term preservation plan for the dataset?
I envisage that the data will be stored in Newcastle University's research data repository. It will therefore be stored and curated in line with the institution's research data policies and procedures.
6b298bdabf4f4acfea7fcdcc0d4048d6
dmponline.dcc.ac.uk
Data Sharing
How will you share the data?
I plan to share the data via Newcastle University's research data repository. This will be done upon completion of the PhD and will be made accessible to anyone who wishes to use it for future research in this field. Anyone reading the thesis (which will be stored in Newcastle University's research repository upon completion of the PhD) will also be able to view the data within the thesis itself.
6b298bdabf4f4acfea7fcdcc0d4048d6
dmponline.dcc.ac.uk
Data Sharing
Are any restrictions on data sharing required?
No restrictions are required.
6b298bdabf4f4acfea7fcdcc0d4048d6
dmponline.dcc.ac.uk
Responsibilities and Resources
Who will be responsible for data management?
I am solely responsible for implementing the DMP and ensuring it is reviewed and revised.
6b298bdabf4f4acfea7fcdcc0d4048d6
dmponline.dcc.ac.uk
Responsibilities and Resources
What resources will you require to deliver your plan?
I do not require any additional resources to deliver my plan. All software packages I have used to generate and store the data are either free/open source or available to me via institutional subscriptions.
6b298bdabf4f4acfea7fcdcc0d4048d6
dmponline.dcc.ac.uk
Data description
What types of data will be used or created?
I utilize a digital audio recorder to capture performer interviews, which are transcribed into text by myself. Additionally, I gather text questionnaires from the audience. Formal rehearsals and performances are recorded to aid in research, along with collection of rehearsal photos, stage photos, and posters. Two scripts are developed, and analysis includes studying videos of Frantic Assembly's and DV8's plays, as well as Theatre San TuoQi's videos. All data, including archival photos (in .jpg, .png, or .pdf format), performance videos (.mp4), marketing materials such as posters and social media posts (.pdf and .docx), and performance programs (.pdf and .docx), are compiled for analysis.
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dmponline.dcc.ac.uk
Data description
How will the data be structured and documented?
I attended two training workshops (Frantic Assembly and Jacques Lecoq school), during which I recorded materials using written text in DOC format. Posters, stage photos, and theses are stored as PDFs, while performances and rehearsals are saved in MP4 format. I maintain a file called "PhD Materials" to gather all documents throughout my doctoral studies. Depending on the various productions, relevant documents are organized into separate folders for each production. Similarly, documents related to the thesis are structured according to the chapter names.
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dmponline.dcc.ac.uk
Data storage and archiving
How will your data be stored and backed up?
The University of Birmingham provides a Research Data Store (RDS); access to the RDS is restricted to project members. Backup copies of data are taken on a daily basis and data is stored in separate buildings from the live data. The RDS has a backup and retention policy on how it looks after the data including archiving of primary data here : https://intranet.birmingham.ac.uk/it/teams/infrastructure/research/bear/research-data- service/RDS/BackupRetentionPolicy.aspx
e7e39d5b2140d3ec0a6710a6d9c8f7b7
dmponline.dcc.ac.uk
Data storage and archiving
Where will your data be archived in the long term?
All data generated in this project will be shared in accordance with BBSRC’s Data Sharing Policy, meaning it will be made available to the scientific community with as few restrictions as possible in a timely and responsible manner
e7e39d5b2140d3ec0a6710a6d9c8f7b7
dmponline.dcc.ac.uk
Data sharing
Which data will you share, and under which conditions? How will you make the data available to others?
After finished my PhD, the data can be shared and found through the University of Birmingham's eData repository (https://edata.bham.ac.uk/) which makes the datasets discoverable through search engines like Google.
e7e39d5b2140d3ec0a6710a6d9c8f7b7
dmponline.dcc.ac.uk
General Information
Registration number/corresponding
2023-00850
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dmponline.dcc.ac.uk
Description of data – reuse of existing data and/or production of new data
What types of data will be created and/or collected, in terms of data format and amount/volume of data?
The audio will be stored as .wav and .mp3 files, the datasets as .csv and .RDS files, and scripts as .R files. The uncompressed audio files in the .wav format require more storage space, but this uncompressed format ensures optimal quality for acoustic analysis. The compressed .mp3 format is also provided for ease of use.
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dmponline.dcc.ac.uk
Documentation and data quality
How will the material be documented and described, with associated metadata relating to structure, standards andformat for descriptions of the content, collection method, etc.?
Each published paper has an associated project page on OSF and a dedicated folder in the institutional data archive. These all follow a similar structure, with separate folders for raw data, which usually include the following: audio, datasets (with a README file explaining the variables in each dataset), and analysis scripts (again, with a README file explaining what each script does, as well as with extensive comments within each script).
a5d4ae2b8eebe2792c6dc1003a52f73a
dmponline.dcc.ac.uk
Documentation and data quality
How will data quality be safeguarded and documented (for example repeated measurements, validation of data input,etc.)?
All included data is part of peer-reviewed publications.
a5d4ae2b8eebe2792c6dc1003a52f73a
dmponline.dcc.ac.uk
Storage and backup
How is storage and backup of data and metadata safeguarded during the research process?
In addition to being stored on research laptops and external hard drives, it is deposited on OSF (a separate project per study) and in the institutional archive.
a5d4ae2b8eebe2792c6dc1003a52f73a
dmponline.dcc.ac.uk
Storage and backup
How is data security and controlled access to data safeguarded, in relation to the handling of sensitive data andpersonal data, for example?
There is no sensitive or personal data associated with the project. All participants are anonymous because data collection takes place online (prolific.com).
a5d4ae2b8eebe2792c6dc1003a52f73a
dmponline.dcc.ac.uk
Legal and ethical aspects
How is data handling according to legal requirements safeguarded, e.g. in terms of handling of personal data,confidentiality and intellectual property rights?
There is no sensitive or personal data associated with the project. All participants are anonymous because data collection takes place online (prolific.com). No copyrighted material is used in the project.
a5d4ae2b8eebe2792c6dc1003a52f73a
dmponline.dcc.ac.uk
Legal and ethical aspects
How is correct data handling according to ethical aspects safeguarded?
Because the collected data does not include sensitive information or personal identities, it is freely shared in its entirety with the research community.
a5d4ae2b8eebe2792c6dc1003a52f73a
dmponline.dcc.ac.uk
Accessibility and long-term storage
How, when and where will research data or information about data (metadata) be made accessible? Are there anyconditions, embargoes and limitations on the access to and reuse of data to be considered?
All data are permanently stored in two publicly available depositories: OSF (osf.io, one project per published study) and the institutional archive at Lund University.
a5d4ae2b8eebe2792c6dc1003a52f73a
dmponline.dcc.ac.uk
Accessibility and long-term storage
In what way is long-term storage safeguarded, and by whom? How will the selection of data for long-term storage bemade?
All data necessary for understanding and replicating each study is made available (experimental stimuli, participants' responses, scripts for processing and analysis, etc.).
a5d4ae2b8eebe2792c6dc1003a52f73a
dmponline.dcc.ac.uk
Accessibility and long-term storage
Will specific systems, software, source code or other types of services be necessary in order to understand, partake ofor use/analyse data in the long term?
The audio, datasets, and scripts are stored in standard, widely supported file formats (wav, mp3, csv, R, plain text). All software necessary for processing the data and replicating each experiment is listed in the scripts, with the versions of key libraries.
a5d4ae2b8eebe2792c6dc1003a52f73a
dmponline.dcc.ac.uk
Accessibility and long-term storage
How will the use of unique and persistent identifiers, such as a Digital Object Identifier (DOI), be safeguarded?
Each published study and its associated OSF repository are assigned unique, permanent DOIs.
a5d4ae2b8eebe2792c6dc1003a52f73a
dmponline.dcc.ac.uk
Responsibility and resources
Who is responsible for data management and (possibly) supports the work with this while the research project is inprogress? Who is responsible for data management, ongoing management and long-term storage after the researchproject has ended?
Andrey Anikin and Lund University are responsible for data management and storage.
a5d4ae2b8eebe2792c6dc1003a52f73a
dmponline.dcc.ac.uk
Responsibility and resources
What resources (costs, labour input or other) will be required for data management (including storage, back-up,provision of access and processing for long-term storage)? What resources will be needed to ensure that data fulfilthe FAIR principles?
A project folder for permanent archiving is provided by Lund University IT services.
a5d4ae2b8eebe2792c6dc1003a52f73a
dmponline.dcc.ac.uk
Your research data
What types of data will be collected or created?
Cellular toxicity experimental data Animal (mouse) in vivo toxicity test data
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dmponline.dcc.ac.uk
Your research data
What formats will you use?
Text, PDF, Picture, Figure, Excel, etc
dbfc860babb2ada5fbff06df6fe93eb8
dmponline.dcc.ac.uk
Your research data
How much data do you estimate you will be collecting and storing?
Less than 1Gb
dbfc860babb2ada5fbff06df6fe93eb8
dmponline.dcc.ac.uk
Documentation
Are there any standards for organising, labelling or describing research data in your field of research. If so, detailbelow.
General biological and chemical data labeling and display methods
dbfc860babb2ada5fbff06df6fe93eb8
dmponline.dcc.ac.uk