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Ethics
Give a description of your Ethics
The study was performed in accordance with the principles contained in the Declaration of Helsinki. The Ethical Committee of “Hospital Universitario Puerta del Mar” (Cádiz, Spain) approved the study protocol, and all participants and/or legal guardians provided written informed consent.
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dmponline.dcc.ac.uk
1. General features
Please fill in the table below. When not applicable (yet), please fill in N/A.
DMP template version 30 (don't change) ABR number (only for human-related research) N/A Financial Vidatum number (only for human-related research) V0002561 DEC number (only for animal-related research) AVD11500202216382 Acronym/short study title Wishing-table Name Research Folder n.v.t. Name Division DHS Name Department Department of orthopaedics Partner Organization Twente University Start date study 1-8-2024 Planned end date study 31-7-2027 Name of datamanager consulted* DHS datamanagement: Dax Steins/Nivard Koning Check date by datamanager 24-06-2024
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dmponline.dcc.ac.uk
2. Data Collection
Give a short description of the research data.
Subjects Volume Data Source Data Capture Tool File Type Format Storage space Cell cultures 2000 08-001/C Fluorescence/ brightfield microscope Image tiff, jpeg, dmc 100- 1000GB Cell cultures 2000 08-001/C Electronic Lab Journal Quantitative data csv 10-100GB Patients TBD 08-001/C Biobank 08-001 Text files, physical samples as highlighted in the biobank protocol N.A. N.A. Goats TBD Experimental data Fluorescence/ brightfield microscope, microCT image tiff, jepg, dcm TBD Goats TBD Experimental data Electronic Lab Journal Quantitative data csv TBD The source for primary cells and bone tissue (falls under primary cells) is the biobank of the UMC Utrecht (08/001). New data using the biobank samples will be generated and collected from in vitro cell experiments, microscopical studies. The amount of patients that will be included/ necessary for this project can currently not be estimated, hence the volume is TBD. Once this information is available, the DMP will be updated. The volume of cell cultures is an estimation about all cell cultures that will be performed and does not correlate to the amount of donors that is required, as multiple cell cultures can be performed per donor. Non-digital (physical) data that is generated includes fixated tissue samples, composite materials and cells. As the cells are sourced from the biobank, these will be stored according to the biobank protocol. Digital data includes raw and processed measurements from data including cell functionality assays, biochemical assays, qPCRs, pH, histology, immunohistochemistry, DLS and microCT. During this project, no patient sensitive data will be generated that require any special storage conditions. All data will remain with the UMCU. The collaboration involves receiving material from Kuros which is defined in the consortium agreement of the project. Besides that, the University of Twente and Kuros provide expertise for data analysis which is done using DRE.
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2. Data Collection
Describe who will have access to which data during your study.
Type of data Who has access Cell culture (goat ) Research team, PI, Datamanager Pseudonymized data (human cell data for cell harvest experiments) Research team, PI, Datamanager Key table linking study specific IDs to Patient IDs PI (with care relationship to patient), Datamanager Direct identifying personal data Research team with care relationship to patient, Datamanager 1. The key table linking study specific IDs to patient IDs is available to the datamanager and members of the research team with a care relationship to the patient. Other members of the research team receive a pseudonymized dataset and have no access to direct personal data or the key table. The University of Twente and Kuros provide expertise for data analysis, which is done using DRE.
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dmponline.dcc.ac.uk
2. Data Collection
Specify data management costs and how you plan to cover these costs.
Division ("overhead") Funder Other (specify) 1. Time of datamanager x 2. Software licenses x If DM software is required for project 3. Data Capture Tool RMCU labs - benchfee 4. Storage x 5. Archiving x Only where applicable Explanation. 2. Standard software licenses (i.e. microsoft office) are provided by the division. In case specialized software is required, the costs will be covered by the funder of the project. 3. Regenerative medicine centre Utrecht, costs for all data capture tools are included within the benchfee paid to work within the RMCU labs Kuros and Twente are involved in this project but the collaboration does not necessitate datasharing, leading the lack of costs.
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2. Data Collection
State how ownership of the data and intellectual property rights (IPR) to the data will be managed, and whichagreements will be or are made.
UMCU is and remains the owner of all collected data for this study. Data ownership and IP rights will be agreed upon in the consortium agreement/ research agreement signed by all parties involved.
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3. Personal data (Data Protection Impact Assessment (DPIA) light)
Will you be using personal data (direct or indirect identifying) from the Electronic Patient Dossier (EPD), DNA, bodymaterial, images or any other form of personal data?
2. I will process personal data. I have consulted the division datamanager and I do not have to complete a full DPIA. I therefore fill out this DPIA light and proceed to 3.1.
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3. Personal data (Data Protection Impact Assessment (DPIA) light)
What legal right do you have to process personal data?
Broad consent, Biobank 08-001/K. Only relevant for research involving primary, patient derived samples (cells and tissues). The re-use of data is defined in release protocols for the biobank: e.g. Bone_Graft (V1393)
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3. Personal data (Data Protection Impact Assessment (DPIA) light)
Describe how you manage your data to comply to the rights of study participants.
1. The data are pseudonymized and the linking table to personal data is saved. An authorized person manages the key linking table linking table that will be stored separately within the Research Folder structure created for each project with restricted access to authorised personnel with a care relationship to patient. Right Answers Right of Access Research data are coded, but can be linked back to personal data, so we can generate a personal record at the moment the person requires that. This needs to be done by an authorized person. Right of Rectification The authorized person will give the code for which data have to be rectified. Right of Objection We use broad consents. Right to be Forgotten In the broad consent we state that the study participant can stop taking part in the research. Removal of collected data from the research database cannot be granted because this would result in a research bias.
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3. Personal data (Data Protection Impact Assessment (DPIA) light)
Describe the tools and procedures that you use to ensure that only authorized persons have access to personaldata.
1. We use secured Research Folder Structures for all underlying projects (e.g. Bone_Graft V1393) that ensures that only authorized personnel has access to personal data, including the key table that links personal data to the pseudoID. 2. We make use of an Electronic Lab Notebook (ELN) with build-in Authorization Management
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dmponline.dcc.ac.uk
3. Personal data (Data Protection Impact Assessment (DPIA) light)
Describe how you ensure secure transport of personal data and what contracts are in place for doing that.
1. We will not transport any personal data outside the UMCU network drives. 2. In case personal data needs to be transported with colleagues, Surffilesender with encryption will be used. 3. We have a Research Agreement with UTwente and Kuros Biosciences B.V. The agreement is stored at location: TBD (still needs to be signed). No personal data is shared and their involvement is for data analysis purposes only, which will be done using DRE. 4. In case personal data would have to be transferred to collaborators a Data Transfer Agreement will be signed and stored at the same location as the Research Agreement.
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dmponline.dcc.ac.uk
4. Data Storage and Backup
Describe where you will store your data and documentation during the research.
As data we here define all experimental data obtained from experiments described in the study plan. 1. Data is stored in a standardized format complying with the UMCU research datamanagement policy, GCP and GDPR. (https://intranet.umcutrecht.nl/connect/onderzoek/QualityofResearch/Paginas/Research-Folder-Structure.aspx) 2. All original raw data will be stored in a seperate, write protected research folder (RFS) and analysis are done on copies of frozen datasets. 3. To enable the collaboration with Twente and Kuros on the analysis of generated datasets, data will be stored in DRE, because they assist in the analysis of the data. The results are then transferred to the research maps of the underlying project and developed SOPs are noted in ELN. 4. Final data for publication is stored on the DataverseNL repository. Storage and documentation of personal data is only required for the biobank. Therefore, the only identifying personal data is stored in key linking tables that are stored in secured separate folders within the research folder structure of each underlying project to which only authorized personnel has access.
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dmponline.dcc.ac.uk
4. Data Storage and Backup
Describe your backup strategy or the automated backup strategy of your storage locations.
1. All (research) data is stored on UMC Utrecht networked drives from which backups are made automatically twice a day by the division IT (dIT). For analysis, data is stored on the data share(s) of one/more DRE workspace(s). DRE data shares are stored on Azure according to LRS standard, ensuring data is replicated thrice in the same Azure data center. Additionally, for version history, DRE takes daily snapshots of the data share, and retains these snapshots for 30 days rolling. 2. The ELN is automatically backed up and contains a full audit trail. 3. The key linking table(s) for the biobank will be will be stored separately within the Research Folder structure created for each project with restricted access to authorised personnel with a care relationship to patient, which is stored on UMC Utrecht networked drives from which backups are made automatically twice a day by the division IT (dIT).
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dmponline.dcc.ac.uk
5. Metadata and Documentation
Describe the metadata that you will collect and which standards you use.
1. Currently there is no metadata standard for all domain specific data. Metadata will be performed under the FAIR principle. All data and metadata will be indentifyable with the exact experiment performed and contain a data dictionary. For each variable, the data dictionary will contain an explanation of the values. 2. The queries of the research will be stored in eLabJournal (under my experiments) All metadata will include the specific procedure, equipment and chemicals used to perform each individual experiment.
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dmponline.dcc.ac.uk
5. Metadata and Documentation
Describe your version control and file naming standards.
We will distinguish versions by indicating the version in the filename of the master copy by adding a code after each edit, for example V1.1 (first number for major versions, last number for minor versions). The most recent copy at the master location is always used as the source, and before any editing, this file is saved with the new version code in the filename. Also, each version intended for internal distribution will obtain a date of preparation. Older versions are moved to a folder OLD.
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dmponline.dcc.ac.uk
6. Data Analysis
Describe how you will make the data analysis procedure insightful for peers.
1. For each experiment, analysis steps will be documented in an Electronic Lab Journal. The documentation is shared with other members in the same research group. In future publications, relevant analysis steps will be described and available for everyone. 2. We will be using SPSS, version 29, for statistical analysis of the data. The scripts will contain comments, such that every step in the analysis is documented and peers can read why I made certain decisions during the analysis phase.
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dmponline.dcc.ac.uk
7. Data Preservation and Archiving
Describe which data and documents are needed to reproduce your findings.
1. The data package will contain: the raw data, the study protocol describing the methods and materials, the script to process the data, the scripts leading to tables and figures in the publication, a codebook with explanations on the variable names, and a ‘read_me.txt’ file with an overview of files included and their content and use. 2. An Electronic Lab Journal will be used and protocols for every step that is needed to reproduce the results. After finishing the project, this documentation will be stored at the UMC Utrecht and is under the responsibility of the Principal Investigator of the research group. * 'XXX' in this answer will be updated when available
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dmponline.dcc.ac.uk
7. Data Preservation and Archiving
Describe for how long the data and documents needed for reproducibility will be available.
Data and documentation from our studies will be stored for at least 10 years. This may include storage of raw data, processed data and analyses performed on such data, published articles, presentations.
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dmponline.dcc.ac.uk
7. Data Preservation and Archiving
Describe which archive or repository (include the link!) you will use for long-term archiving of your data andwhether the repository is certified.
After finishing the project, the data package will be stored at the UMC Utrecht Research Folder Structure for each underlying project and is under the responsibility of the Principal Investigator of the research group. The UMC Utrecht standard repository is DataverseNL, the data package will be published here.
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7. Data Preservation and Archiving
Give the Persistent Identifier (PID) that you will use as a permanent link to your published dataset.
DOI-codes of publications will be used. This plan will be updated as soon as codes are available.
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8. Data Sharing Statement
Describe what reuse of your research data you intend or foresee, and what audience will be interested in yourdata.
The research data can be of interest for other researchers from different groups/institutes in the field or for spin-off projects. And also for new lab members in the research group to join the project at a later stage.
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8. Data Sharing Statement
Describe which metadata will be available with the data and what methods or software tools are needed to reusethe data.
All data and documents in the data package mentioned in 7.1 will be shared under restrictions. Data underpinning research papers can be made available to other researchers upon request where no IP, legal, commercial or privacy restrictions apply. The guiding principle will be 'as open as possible, as closed as necessary.'
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8. Data Sharing Statement
Describe where you will make your data findable and available to others.
Data can be requested via contacting the PI who will act as corresponding author on any (open access) published work. Where possible, this will be done via the data repository.
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dmponline.dcc.ac.uk
Administration & Project Description
List the name and affiliation of all members of the research team. List the researcher responsible for research data management first.For PhD projects, please indicate the Promotor(s) and/or Daily Supervisor(s) with a (!)
Name Email ORCID Research Institution 1 Mingshu Yang [email protected] ESHCC 2 (!)Daniel Trottier [email protected] https://orcid.org/0000-0001-8476-673X ESHCC 3 (!)Yijing Wang [email protected] https://orcid.org/0000-0002-7886-8366 ESHCC 4 5 6 7 8 9 10
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dmponline.dcc.ac.uk
Administration & Project Description
Briefly summarize the project background and research question(s) to help others understand the purpose for whichthe data are being collected or created
Currently, research on dating apps primarily focuses on their impacts, user purposes, and methods. Different users have varying experiences with dating apps, yet these experiences seem to align with different dimensions of well-being. This study targets Chinese international students in the Netherlands, aiming to explore how their utilization of dating apps reflects specific dimensions of well- being. Drawing from prior research on dimensions of well-being and user purposes in dating app usage, this study will address four sub-research questions to achieve its objectives.
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dmponline.dcc.ac.uk
Administration & Project Description
Specify the research type and briefly describe the methodology, the types of data to be generated and/or collected,and the tools used for data collection
The first three sub-research questions will be conducted in the form of semi-structured interviews. Interviews will be recorded using recording equipment and conducted by telephone. The fourth sub-research question will be conducted using Survey method. Since the Survey's hypotheses will be derived from the data of the first three sub-research questions, this plan only involves data collection from semi-structured interviews. I plan to conduct the interviews through MS Teams or phone call. I will transcribe the interviews with a Chinese tool —Xunfei. Because my interviews will be conducted in Chinese, I choose a Chinese transcription tool. I will manually translate the Chinese into English.
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dmponline.dcc.ac.uk
Administration & Project Description
Specify the (financial and time) resources needed for data management in this project
Costs of data collection
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dmponline.dcc.ac.uk
Preparation: Legal Arrangements and Policy
List the agreements that
Type of agreement Research Participants Informed Consent CSC funding agreemen Informed Agreement Xunfei using agreement Informed Agreement
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dmponline.dcc.ac.uk
Preparation: Legal Arrangements and Policy
List the agreements or other data management policies that you need to uphold but
did not initiate. If you are reusing existing data, list the terms of use under which you may re-use them. Who Type Version and Date EUR RDM policy of Erasmus University Rotterdam (EUR) Version 1.0
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dmponline.dcc.ac.uk
During research: Collecting and analyzing
Specify what data you will be collecting and indicate format, estimated size, and whether this is data that you willbe generating or existing data that you will be re-using.
Format Estimated size Generate Re-use Data Classification (optional) Audio-recorded interview .mp3 1-5GB Yes No Confidential Interview transcripts .docx <1 GB Yes No Internal
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dmponline.dcc.ac.uk
Research Publication: Data sharing and re-use
Please specify why you are unable to share (all) data (and code)
Audio recordings will not be shared, because repondents could be identified (Privacy).
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dmponline.dcc.ac.uk
Research Publication: Data sharing and re-use
List the data (and code) that you plan to share in a research data repository. Also list the information /documentation / metadata that you will include to make the data package self-explanatory and re-usable in the future(for other researchers and yourself)
Data Format Size Interview question guide .pdf <1 GB Interview transcripts
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dmponline.dcc.ac.uk
Research Publication: Data sharing and re-use
Please specify which license
CC-BY 4.0
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dmponline.dcc.ac.uk
After research: Archiving
List the data and all documentation you will be archiving. These data constitute your archival package.
Format Size Raw data
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dmponline.dcc.ac.uk
Data Collection
What data will you collect or create?
In the Project Scope, data will refer to any equipment result, including those intended for graphical plots (e.g., spectroscopic data) or images (e.g. transmission electron microscopy). These data will be collected in different experiments regarded to the produced samples and their characterizations, mainly in digital format.
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dmponline.dcc.ac.uk
Data Collection
How will the data be collected or created?
• Catalyst characterizations: scanning and transmission electron microscopies; X-ray diffraction patterns; infrared, Raman and UV-Vis spectroscopies; analytical elemental determination; etc • Catalysis-related data: CH4 conversion in experimental reactors; temperature-programmed gas desorption; surface-acidity titration, etc.
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dmponline.dcc.ac.uk
Documentation and Metadata
What documentation and metadata will accompany the data?
Along to Storage and Backup and Selection and Preservation procedures, all information about equipment model, experiment setup, calibration and accessory data will be kept in Repository. Information management will be done by the Project software using the structure of Laboratory digital notebooks.
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dmponline.dcc.ac.uk
Ethics and Legal Compliance
How will you manage any ethical issues?
Each project member should sign an Ethical and Legal Responsibility term, which will be kept by Project Coordination. This term will follow the general guidelines promoted by FAPESP, including data ownership, responsibility and absence of plagiarism declarations. Plagiarism software support will be provided by Project Coordination using Technical Reserve resources. Plagiarism reports for each produced document will be kept together to the final documents in Data Repository.
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dmponline.dcc.ac.uk
Ethics and Legal Compliance
How will you manage copyright and Intellectual Property Rights (IPR) issues?
Core IT systems to secure IP, includes all input/output devices that store the documents they process, and they are typically networked and connected to remote management systems. Also, cloud applications and file-sharing services.
facc7f02c8a80ee570b427d14f305965
dmponline.dcc.ac.uk
Storage and Backup
How will the data be stored and backed up during the research?
All produced data will be stored in a Data Repository, based in digital servers (to be acquired using Technical Reserve resource) provided by the Project Coordination and located in UFSCar TI Support, with remote backup in Embrapa TI Support. For data organization, project management software will be provided to all users keeping basic information about acquisition date, equipment and measurement conditions. Free software alternatives will be analyzed by Project Coordination but keeping all the information encrypted in a physical server, for data reliability and confidentiality. Management software will include a digital Laboratory Notebook, which will be used by all project members. Related sub-projects (e.g. PhD thesis, posdoc projects, etc) will be registered using the same system. Raw data from equipments will be linked to the digital Notebook and physical versions (paper-based) will be scanned and also stored in digital format. Project Coordination will keep physical notebooks after each sub-project ending at least for 3 years after Project completion.
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dmponline.dcc.ac.uk
Storage and Backup
How will you manage access and security?
All data will be registered in a standard Laboratory Notebook, to be provided by the Project Coordination to all project members. This Laboratory Notebook (see below), in both physical and digital format, is aimed to keep all the information protected and easily available for Coordinators (for checking or validation).
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dmponline.dcc.ac.uk
Selection and Preservation
Which data are of long-term value and should be retained, shared, and/or preserved?
Several experiments proposed in this Project are destructive analyses and, in some cases, as-produced catalysts are unstable for a long-term storage. Therefore, methods for sample preparation and characterization will be preserved in digital server for experiment reproduction in a detailed format. When possible, representative samples will be stored and classified by Project Coordination for cross-checking and validation if necessary. As described above, data and methods should be preserved in Repository at least for 10 years.
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dmponline.dcc.ac.uk
Selection and Preservation
What is the long-term preservation plan for the dataset?
A Project webpage will be built for public information about main proposal, members, sub-proposals and achievements. A contact email will be provided in webpage. This webpage will be prepared using support from UFSCar and Embrapa TI services and features will be used to help accessing of project members to restricted areas.
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dmponline.dcc.ac.uk
Data Sharing
How will you share the data?
Papers and published content will be freely provided in Project webpage using preprint documents or final papers in case of open access options. These will strictly follow Journals’ policies and, in cases of restricted data access, Project Coordination will ask FAPESP about any specific event. Raw data will be provided by request to Project Coordination, in Project contact email. The wide range of possible new knowledge requests a continuous approach of integration and discussion among researchers, which is only possible through regular meetings. Since all the groups are based in Sao Paulo state, dislocations and travels are not a major problem to the group keep in contact. These activities will be supported by the Team experience in research networks as well as supporting structures such as AgroNano Network.3 To access information about each Project achievements, Public Yearly Meetings will be promoted, structured for 2-days meeting. The meeting structure will comprise a public part in the 1st day and a closed session in the 2nd day with project members. During the 1st day each principal investigator will be invited to present to the general public the main achievements through oral presentations and poster discussion about specific topics. The events will follow the general structure of scientific meetings, with invited presentations (generally by important researchers in related areas, not necessarily working on the project) and regular talks. A public document will be produced reporting the main achievements and highlights of the research, such as important papers (in high impact factor journals), patents or technology transfer processes. In this document only the public information will be widespread taking care about language (intended to be accessible for all publics) and structure (visually-attractive). In the 2nd day, the closed meeting will take place to discuss the main problems in the course of research activities and present technologic achievements under protection processes. This closed meeting is intended to help researchers to share their experience in confidential topics and, also, to avoid any unintentional information disclosure which may compromise patent requests. The Public Yearly Meetings will be important to start cooperation among groups but this will be stimulated by other means, such as regular web-based forums. To that a project webpage will be developed with thematic forums to promote continuous discussion about specific topics and sharing of research results. The presence in social media will be stimulated, starting a project Facebook page and YouTube channel. These platforms will also help on project webpage development (see above), since information posted there may be widespread by the page and vice-versa. Especially for the YouTube channel, the researchers will be invited to post short videos and short tutorial videos aimed to general public. Each investigator will be stimulated to offer short webcourses and webinars in related topics using the platform. These platforms will also be useful to widespread information about yearly meetings, such as posting news or recorded presentations.
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dmponline.dcc.ac.uk
Data Sharing
Are any restrictions on data sharing required?
Access will be restricted to project members until paper publication or any other information disclosure (patent, meetings, etc). As published, raw data will be available to anyone who formally requests to Project Coordination. Raw data will be stored by digital format at least for 10 years after Project completion.
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dmponline.dcc.ac.uk
Responsibilities and Resources
Who will be responsible for data management?
Data management will be responsibility of Project Coordination (Coordinator and PIs). TI support from institutions will be provided as Institutional Support. A Data curator will be yearly indicated by Project Coordinator as a contact point from TI support, researchers and community. To help the Proponent to organize information about equipment and data sources, a project secretariat will be provided with general support for project management (acquisitions, payments, etc) and to provide information about multiuser facility. All the equipment acquired in this proposal will be asked to operate as multiuser facilities and the Secretariat will be responsible to propose and manage a system for easy access. The involved costs (including maintenance, consumables and operational people) of each technique will be studied by the Secretariat aiming to support researchers to propose sustainable conditions for shared usage. A general web-based scheduling system for equipment accessing will be discussed with all investigators. The previous experience of Embrapa Instrumentation in the management of LNNA (Nanotechnology National Laboratory for Agriculture), as member of SISNano (Brazilian System of Nanotechnology Laboratories) will support this discussion.2 The equipment, book and database acquisition processes will be preferably done by the project secretariat. The Secretariat will be supported by the previous experience of FAI-UFSCar and Embrapa Instrumentation Project Management Office in international acquisitions. In any case, all the equipments financed by this proposal will be offered as multiuser facility according to FAPESP guidance lines. A wide discussion in the participants institutions will be done to define a specific person for secretariat, according to the local availability and as an additional resource (not paid by FAPESP).
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dmponline.dcc.ac.uk
Responsibilities and Resources
What resources will you require to deliver your plan?
The approval of the Research Internship Abroad Scholarship (BEPE), funded by FAPESP will be enough to achieve the mentioned goals.
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dmponline.dcc.ac.uk
Description of data
How will data be collected, created or reused?
We applied to get access to SCAPIS cohort data and we granted access. https://www.scapis.org/
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dmponline.dcc.ac.uk
Description of data
What types of data will be created and/or collected, in terms of data format? Include version numbers if applicable.
The SCAPIS cohort contains Imputed Genotype data, Proteomics, Clinical, Metabolic NMR and Core questionnaire data of more than 30,000 participants in Imputed genotype data, and also .csv and .RData 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, file naming-format-versioning, etc
Data is already documented and described by SCAPIS cohort.
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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.)?​
Data was already quality-checked by SCAPIS cohort.
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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?
The SCAPIS data will be stored in Bianca/UPPMAX and data analysis will be performed in Bianca as it is designed for storage and analysis of sensitive data.
e4c880fd3a327d787105ca71668c096b
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 SCAPIS data will be stored in Bianca/UPPMAX and data analysis will be performed in Bianca as it is designed for storage and analysis of sensitive data.
e4c880fd3a327d787105ca71668c096b
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?​
We granted ethical permission for getting access and analysis of SCAPIS data with the record number from ethical approval 2023- 06084-01
e4c880fd3a327d787105ca71668c096b
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?
The SCAPIS data will be stored in Bianca/UPPMAX and will be destroyed after 5 publications.
e4c880fd3a327d787105ca71668c096b
dmponline.dcc.ac.uk
Accessibility and long-term storage​
How will unique and persistent identifiers for the research data, such as a Digital Object Identifier (DOI), be obtained?
The patients data belongs to SCAPIS organization and there is unique and persistent identifier.
e4c880fd3a327d787105ca71668c096b
dmponline.dcc.ac.uk
Responsibility and resources​
What resources (costs, labour or other) will be required for data management (including storage, back-up, provisionof access and processing for long-term storage)?
Access to Bianca / UPPMAX
e4c880fd3a327d787105ca71668c096b
dmponline.dcc.ac.uk
Data Collection
What data will you collect or create?
I will collect UK HE Graphic Design Stakeholders' needs regarding the support for sustainability topic practice. The data from the studies will be qualitative, and this interview study is based on semi-structured to gain in-depth insights into the integration of sustainability in graphic design pedagogy within UK Higher Education (HE). Format and scale of the data: Qualitative data will be recorded and stored electronically before being transcribed and stored in electronic format (PDF or MS Word). Audio (.wav; 44.1 kHz, 16-bit depth, stereo): Recorded with Loughborough University's Blue Yeti Nano microphones into a laptop running Audacity (free/open sauce DAW). PI (PARKER) will use Audacity to process audio (i.e., normalise the volume, reduce reverb, and adjust EQ for clarity where required). Text (.txt): Written with Microsoft Word v16 or later. I estimate my project data includes 9 hours of interview audio recordings (.wav, estimated size = 13 Gb), transcribed verbatim (.txt = 2Mb).
0359343e05c7d57bc5992617a103e4bc
dmponline.dcc.ac.uk
Data Collection
How will the data be collected or created?
The semi-structured interview in this study will generate data. Data will be collected manually by project staff, e.g. interviews. Answers will be audio-recorded and transcribed verbatim to ensure accuracy in data analysis. Transcripts will be anonymised to protect participant identity. Data quality and standards: Data files generated will be labelled appropriately and placed in suitably labelled/organised folders and sub-folders so that it is obvious which interview (anonymised) participant and condition that data originated from, allowing easy access and identification of files. Different versions of a data subset will be distinguished via a subscript (v1, v2, final, etc) attached to the file name.
0359343e05c7d57bc5992617a103e4bc
dmponline.dcc.ac.uk
Documentation and Metadata
What documentation and metadata will accompany the data?
Managing, storing and curating data: Loughborough University uses University-provided Microsoft storage solutions, ensuring data does not leave 'EU data protection adequacy' approved countries and programmes. LU's default storage option is Office 365 OneDrive and Office 365 Groups for external collaborations. OneDrive documents are synchronised between research computers and Microsoft OneDrive in the cloud. This data is kept securely in Microsoft data centres, currently in Ireland (Dublin) and Amsterdam(Schipol). All LU computers are password-protected to individual accounts. Metadata standards and data documentation: Contextual and explanatory files will be created and stored in step with data collection to facilitate understanding of the data. Methodologies, data collection procedures, and analysis processes will be documented and clearly annotated. These should enable the recreation of the interview procedures and make the collected data understood within that context. Qualitative data will be used to decode speech and identify speakers. Data preservation strategy and standards: Data will be stored using Loughborough University One Drive and the Loughborough University data repository for at least three years. Data preservation processes will be achieved within the duration of this PhD project and will be overseen by the PI and RA.
0359343e05c7d57bc5992617a103e4bc
dmponline.dcc.ac.uk
Ethics and Legal Compliance
How will you manage any ethical issues?
Loughborough University’s use of Microsoft OneDrive and Office 365 Groups is backed by the Higher Education sector-wide contract with Microsoft managed by Jisc. Ethical approval is obtained from the Loughborough University Ethics Committee. I will inform the study’s purpose, their right to withdraw, and the confidentiality of their responses to participants. Informed consent will be obtained before the interviews.
0359343e05c7d57bc5992617a103e4bc
dmponline.dcc.ac.uk
Ethics and Legal Compliance
How will you manage copyright and Intellectual Property Rights (IPR) issues?
I will use Creative Commons media through our project (e.g., promotional images) wherever possible. Where this is not possible, the PI will obtain copyright clearance from the copyright holders of any data I reuse and publish at the end of the project. I will share all our archived data under a Creative Commons (Attribution 4.0 International) license. I do not work with external partners or commercial organisations to necessitate contracts or agreements.
0359343e05c7d57bc5992617a103e4bc
dmponline.dcc.ac.uk
Storage and Backup
How will the data be stored and backed up during the research?
The data will be stored in a secure university file space using Microsoft OneDrive. Each researcher is initially allocated 1TB of space and can request unlimited additional storage. Their My Documents folder on each Windows computer is automatically synchronised with Microsoft OneDrive. One Drive has a version history for up to 30 days. Details of this storage can be found on the LoughboroughUniversity IT web pages. Any data collected in the field will be stored on the PI's laptop and backed up daily to an encrypted external hard drive before being transferred to Microsoft OneDrive as soon as wireless connectivity is made. All sensitive data will be stored on the PI's encrypted laptop and backed up to an encrypted hard drive, which will be held in a locked filing cabinet in a separate room from the computer. This centre is fully secure and backed up daily. The team will access the data via a secure VPN connection. The PI will back the data weekly onto an encrypted external hard drive, which they will keep separately from the office PC and PI's laptop. Loughborough IT services are provided from two on-site LPS 1175 compliant data centres and several ISO 27001 accredited cloud suppliers with specific data sharing agreements and model clause contracts. An appropriate number of security controls protects the infrastructure, is subject to regular penetration testing, and has achieved the UK government Cyber Essentials Plus certification.
0359343e05c7d57bc5992617a103e4bc
dmponline.dcc.ac.uk
Storage and Backup
How will you manage access and security?
Minimal risk of theft or loss of laptop or temporary external storage (e.g. USB transfer between office and RA computers). Offices are locked when unoccupied, and a key card accesses the building outside of hours. Computers are password-protected with a short (2- minute) screen lock, and external storage devices will be password-protected and encrypted. Data transfer between institutions should be done via the secure Office 365 Groups cloud.
0359343e05c7d57bc5992617a103e4bc
dmponline.dcc.ac.uk
Selection and Preservation
Which data are of long-term value and should be retained, shared, and/or preserved?
In determining what data from my research into sustainable graphic design practices is of long-term value and should be retained, shared or preserved, I will consider legal and ethical obligations and the potential for future use. Data that must be retained or destroyed for contractual, legal or regulatory reasons will include all information collected during ethical application processes, interviews and design practices, ensuring compliance with data protection laws and ethical standards. The decision on what other data to retain should be guided by its potential to validate my research findings, contribute to new studies or enhance the teaching of sustainable design practices. Foreseeable uses of this data include validating the effectiveness of the developed toolkit, informing future research on sustainable practices, and enhancing the educational content in higher education. It is anticipated that the data will be retained at least until the completion and validation of this three-year PhD project. However, given the evolving nature of sustainability and design, longer-term retention could benefit ongoing academic and practical applications. This decision should balance the potential re-use value of the data against the economic viability and additional effort required for data preparation, such as anonymisation or format conversion, for sharing and preservation.
0359343e05c7d57bc5992617a103e4bc
dmponline.dcc.ac.uk
Selection and Preservation
What is the long-term preservation plan for the dataset?
The project will comply with the Data Protection Act 2018 (DPA) requirements and University policies. All data the DPA covers will be encrypted and kept in a secure Microsoft OneDrive. Data collection for the project will start only after gaining ethical approval. Before data collection, all participants will be given an information sheet explaining the purpose of the data collection. They will be asked to sign a consent form granting the project the right to store and share their data. They will be given information to leave the data collection method adopted (e.g., interviews) at any time. Collected raw data will be stored in university-approved facilities at partner universities. A master copy will be created in the shared drive of the PI's university. The user-identifiable data will be available only to the project team. A confidentiality agreement can be used for non-disclosure if and when they are shared with external parties (e.g., for transcription). This project does not have commercial partners to request or collect sensitive or confidential data.
0359343e05c7d57bc5992617a103e4bc
dmponline.dcc.ac.uk
Data Sharing
How will you share the data?
The data will be registered in the Loughborough University data repository (https://repository.lboro.ac.uk/).
0359343e05c7d57bc5992617a103e4bc
dmponline.dcc.ac.uk
Data Sharing
Are any restrictions on data sharing required?
Restrictions to data sharing (e.g. with competitors) will be in place wherever necessary to ensure novelty for publication or, where appropriate, to protect IP. Data will be anonymised and may be aggregated if shared before publication. Data sharing will be in accordance with those set out in informed consent and, in turn, in accordance with LU and TU research ethics.
0359343e05c7d57bc5992617a103e4bc
dmponline.dcc.ac.uk
Responsibilities and Resources
Who will be responsible for data management?
Along with the PI, academic members of the project team will be responsible for study-wide data management, metadata creation, data security and data quality assurance. The University Research Data Management team will be able to advise on best practices in data management and security.
0359343e05c7d57bc5992617a103e4bc
dmponline.dcc.ac.uk
Responsibilities and Resources
What resources will you require to deliver your plan?
In order to effectively implement the data management plan for this research into sustainable graphic design practices, several key resources will be required. Firstly, additional expertise or training for the researchers may be required, particularly in the areas of data curation, digital preservation and ethical data handling, to ensure that the team is equipped to manage and preserve the datasets effectively. Secondly, training on the NVIVO software may be required. Thirdly, training in advanced data storage solutions, data anonymisation and format conversion software, and metadata creation and management tools may also be required.
0359343e05c7d57bc5992617a103e4bc
dmponline.dcc.ac.uk
Overview
Name of Principal Investigator(s)
Dr Mel McCree
016d60ae618562829c49af9ccb5f841c
dmponline.dcc.ac.uk
Overview
Investigator(s) contact details
016d60ae618562829c49af9ccb5f841c
dmponline.dcc.ac.uk
Overview
Funding application title
IAA fellowship 23-24
016d60ae618562829c49af9ccb5f841c
dmponline.dcc.ac.uk
Overview
Total funding required
n/a already achieved
016d60ae618562829c49af9ccb5f841c
dmponline.dcc.ac.uk
Data Collection
What data will you collect or create?
Survey answers, qual and quant, closed and open questions.
016d60ae618562829c49af9ccb5f841c
dmponline.dcc.ac.uk
Data Collection
How will the data be collected or created?
The survey will be on Jisc online surveys. The survey will be shared online using snowball and convenience sampling. it will be sent to forest school practitioners across the UK. Data analysis will be undertaken with basic statistical and thematic analysis.
016d60ae618562829c49af9ccb5f841c
dmponline.dcc.ac.uk
Documentation and Metadata
What documentation and metadata will accompany the data?
I will keep password-protected records of the survey data set. I will gather publicly available information about the topic, including a basic background context. Survey outline, project Information Forms, consent form and BSU Ethical approval forms will accompany the data.
016d60ae618562829c49af9ccb5f841c
dmponline.dcc.ac.uk
Ethics and Legal Compliance
How will you manage any ethical issues?
I do not anticipate this project to raise significant ethical concerns. Full informed consent will be sought as an essential beginning to filling in the survey. Analysis and excerpts, as per informed consent, will be published as in project reports and future publication. No details that could further identify any participant will be requested beyond what is given and data can be anonymised at any stage prior to publication. The project is being reviewed for ethical concerns and approved by School of Education research ethics committee at Bath Spa University. The data is intended to become the beginning of a longitudinal data set, so it is essential that participants know that the survey will be looked at by researchers in future other than myself. This is made clear in the information sheet and consent form. Should any one have a query, further information or wish to complain, my contact details and that of an impartial contact at the university are on the information.
016d60ae618562829c49af9ccb5f841c
dmponline.dcc.ac.uk
Ethics and Legal Compliance
How will you manage copyright and intellectual property (IP) issues?
Informed consent will include that Intellection property rights will be held by the PI and BSU. This is made clear prior to publication with all participants. We will include the Bath Spa University brand on the final report. Bath Spa University and the PI will retain control over the data so that the PI can publish further e.g. in academic journals/conference presentations. This includes permission for the data to become part of an open data set for use by other researchers.
016d60ae618562829c49af9ccb5f841c
dmponline.dcc.ac.uk
Storage and Backup
How will the data be stored and backed up during the research?
In this phase, the national survey, the data will be stored on a password protected computer and hard drive back up. The data will be reviewed for accuracy and anonymity. The data will be reviewed by the researcher Dr Mel McCree at the end of the first phase. Consideration is taken as to storage for future use, as part of a as-yet unfunded second phase to create a longitudinal data set in collaboration with other researchers. The option to use BathSpaData is being considered, with the condition to support collaboration with other researchers. The long term solution will be secure and password-protected.
016d60ae618562829c49af9ccb5f841c
dmponline.dcc.ac.uk
Storage and Backup
How will you manage access and security?
In this first phase,all project details, including the data and analysis will be stored on a password protected computer provided by BSU. This is accessible only by the PI. The long term solution will be secure and password-protected.
016d60ae618562829c49af9ccb5f841c
dmponline.dcc.ac.uk
Selection and Preservation
Which data should be retained, shared and/or preserved?
The PI will retain and preserve the anonymised survey responses. Data will be anonymised to such an extent that no identifiable information may be gathered or indirectly gathered from the data. This will be explained to the participants who will gave consent on a fully informed basis. JOS is GDPR compliant and its usage in line with BSU policy.
016d60ae618562829c49af9ccb5f841c
dmponline.dcc.ac.uk
Selection and Preservation
What is the long-term preservation plan for the dataset?
Project reports and outputs will remain in the public domain. The anonymised data will be made available for future use by the PI and collaborators through BathSPAdata. Pending review for longitudinal design, it is proposed that raw data will be destroyed after 30 years (31 December 2054). JOS is GDPR compliant and its usage in line with BSU policy.
016d60ae618562829c49af9ccb5f841c
dmponline.dcc.ac.uk
Data Sharing
How will the data be shared?
Through publication and collaboration with other researchers.
016d60ae618562829c49af9ccb5f841c
dmponline.dcc.ac.uk
Data Sharing
Are any restrictions on data sharing required?
As PI I will respect the request for anonymity with professional conduct. Beyond the eyes of researchers involved only in the first phase or subsequent phases, survey responses will not be available in their entirety outside of that, in order to protect the anonymity of participants. JOS is GDPR compliant and its usage in line with BSU policy. I will ensure that as much of the data set as possible is made available. I may also provide some anonymous contextual information as an addition as necessary, if substantial data redaction renders the context unclear.
016d60ae618562829c49af9ccb5f841c
dmponline.dcc.ac.uk
Responsibilities and Resources
What resources will you require to deliver your plan?
BSU computer (provided) JOS log in (provided) Hard drive (tbc) Time to promote the survey, collect, analysis and disseminate data This is budgeted for in my IAA fellowship funded budget
016d60ae618562829c49af9ccb5f841c
dmponline.dcc.ac.uk
Signoff
I confirm that I have read the Bath Spa University Research Data Policy and any relevant policy for my researchfunder.
https://forestschoolassociation.org/forest-school-research-symposium I will make an initial presentation on 27 June at this world first symposium on the topic. This will include tentative data on the first region, along with previous round table findings, background, rational and future aims for collaboration.
016d60ae618562829c49af9ccb5f841c
dmponline.dcc.ac.uk
Overview
Name of Principal Investigator(s)
Dr Mel McCree
4879d9a3ca12a93af886427f630a9b0c
dmponline.dcc.ac.uk
Overview
Investigator(s) contact details
4879d9a3ca12a93af886427f630a9b0c
dmponline.dcc.ac.uk
Overview
Funding application title
Stories of Strength: Stroud Community Spaces
4879d9a3ca12a93af886427f630a9b0c
dmponline.dcc.ac.uk
Data Collection
What data will you collect or create?
Semi structured interviews, audio recorded. I will transcribe interview data gathered for this research from community project participants and related individuals in the sector. I will gather publicly available information about the community spaces I visit and research. The interviews will be designed for participants to talk about and share their experiences of participating in the projects and similar. The interviews will take place at the community spaces or online. These recordings will be transcribed using Teams.
4879d9a3ca12a93af886427f630a9b0c
dmponline.dcc.ac.uk
Data Collection
How will the data be collected or created?
Maximum 30 audio recorded interviews Publicly available data about the community projects will be gathered from the participants, the projects and wider organisations (NOSH, Stroud Town Council, Dursley Town Council etc). Data analysis will be undertaken with thematic anaylsis and story building methodologies. Some data will be collectivised and developed into anonymised narrative. The analysis and outputs will be member checked and further approval sought prior to publication.
4879d9a3ca12a93af886427f630a9b0c
dmponline.dcc.ac.uk
Documentation and Metadata
What documentation and metadata will accompany the data?
I will keep password-protected records of who and where I interview. I will gather publicly available information about the community spaces I visit and research. Interview question outlines, project Information Forms, consent form and BSU Ethical approval forms will accompany the data.
4879d9a3ca12a93af886427f630a9b0c
dmponline.dcc.ac.uk
Ethics and Legal Compliance
How will you manage any ethical issues?
I do not anticipate this project to raise significant ethical concerns. Full informed consent will be sought in writing with verbal discussion and regular checks for understanding. Excerpts of selected audio interviews, with informed consent will be published as podcasts, and in project report and future publication. No details that could further identify any participant will be requested beyond what is given and data can be anonymised at any stage prior to publication. The project is being reviewed for ethical concerns and approved by School of Education research ethics committee at Bath Spa University.
4879d9a3ca12a93af886427f630a9b0c
dmponline.dcc.ac.uk
Ethics and Legal Compliance
How will you manage copyright and intellectual property (IP) issues?
Informed consent will include that Intellection property rights will be held by the PI and BSU. This will be made clear prior to publication with all participants. We will include the Bath Spa University and podcast brands on the final report. Bath Spa University and the PI as podcast producer will retain control over the data so that the PI can publish further e.g. in academic journals/conference presentations.
4879d9a3ca12a93af886427f630a9b0c
dmponline.dcc.ac.uk
Storage and Backup
How will the data be stored and backed up during the research?
The transcriptions will be stored on a password protected computer. The rest of the audio recordings will be deleted from the computer once the project is complete (end of November 2024) and reviewed by the researcher Dr Mel McCree. Transcription of the audio file will take place through a reputable transcription service on Teams. On receipt of the transcription, this file will be stored on a password protected computer and hard drive back up. The transcription will be reviewed for accuracy against the audio file already stored in this same drive. Following this review, at the end of the project, the audio file will be deleted. The option to use BathSpaData is being considered.
4879d9a3ca12a93af886427f630a9b0c
dmponline.dcc.ac.uk
Storage and Backup
How will you manage access and security?
All project details, including the data and analysis will be stored on a password protected computer provided by BSU. This is accessible only by the PI.
4879d9a3ca12a93af886427f630a9b0c
dmponline.dcc.ac.uk
Selection and Preservation
Which data should be retained, shared and/or preserved?
The PI will retain and preserve the anonymised transcripts of our participants. Transcripts will be anonymised to such an extent that no identifiable information may be gathered or indirectly gathered from the data. The exception to this will be for those participants who wish to be named and their anonymity in terms of presenting the data is therefore not be possible. This will be explained to the participants who will gave consent on a fully informed basis.
4879d9a3ca12a93af886427f630a9b0c
dmponline.dcc.ac.uk
Selection and Preservation
What is the long-term preservation plan for the dataset?
Podcasts will remain in the public domain. The rest of the raw data wil be destroyed at the end of the project (30 November 2024). The anonymised data may be made available for future use by the PI and collaborators through BathSPAdata. The data will be destroyed after 10 years.
4879d9a3ca12a93af886427f630a9b0c
dmponline.dcc.ac.uk
Data Sharing
How will the data be shared?
Through podcast and publication The anonymised data may be made available for future use by the PI and collaborators through BathSPAdata. The data will be destroyed after 10 years.
4879d9a3ca12a93af886427f630a9b0c
dmponline.dcc.ac.uk