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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.
There will be no linking-key, to re-identify the CT/scans. The CT scans will be tranfered without personnel data and stored using RIA, a centralized and secured storage for radiological research data in the UMC Utrecht, designed for this specific purose. Derived data and metadata will be stored in a designated secure research folder with RFS for access control.
828856ecd121a60c206ba53ff2082165
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.
The CT scans from the St maartens Clinic in Nijmegen and UMC Utrecht will be derived of directly identifying data by the radiology department in Nijmegen and UMCU respectively. No key will be kept. Transportation of the CT scans will be facilitated by the Research Imaging Architecture (RIA) of the UMC Utrecht. This is a central, safe storage for research immaging. RIA-eXchange (Nextcloud) can be used for savely transferring the data.
828856ecd121a60c206ba53ff2082165
dmponline.dcc.ac.uk
4. Data Storage and Backup
Describe where you will store your data and documentation during the research.
Raw data in terms of the original scans will be transferred without identyfing data and stored in the hospitals Research Imaging Architecture (RIA). The derived data will be stored on the standard IT-system of the UMC Utrecht, in the secured Research Folder Structure with restricted access for the research team only. The scans and data will not be accessible outside of the Hospital network. All versions of the databases will be saved before editing with the addition of the current date to directly backup previous versions.
828856ecd121a60c206ba53ff2082165
dmponline.dcc.ac.uk
4. Data Storage and Backup
Describe your backup strategy or the automated backup strategy of your storage locations.
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, all versions of the databases will be saved before editing with the addition of the current date to directly backup previous versions.
828856ecd121a60c206ba53ff2082165
dmponline.dcc.ac.uk
5. Metadata and Documentation
Describe the metadata that you will collect and which standards you use.
For the data collected in SPSS we use metadata standards for the codebook and analysis. Metadata that will be generated are the following: - Data of the measurements and researcher taking the measurements as described in section 7.1 of the study protocol. - Syntax for the data analysis - Data analysis results - Publication on the study results.
828856ecd121a60c206ba53ff2082165
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 date with initials after each edit, for example 02-02-2022, MH. 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 date in the filename. The most recent version is kept and older versions are moved to a folder OLD.
828856ecd121a60c206ba53ff2082165
dmponline.dcc.ac.uk
6. Data Analysis
Describe how you will make the data analysis procedure insightful for peers.
I have written an analysis plan in which I state why I will use which data and which statistical analysis we plan to do in which software. The analysis plan is stored in the project folder, so it is findable for my peers.
828856ecd121a60c206ba53ff2082165
dmponline.dcc.ac.uk
7. Data Preservation and Archiving
Describe which data and documents are needed to reproduce your findings.
The data package will contain: the raw data (scans), the study protocol describing the methods and materials, The derived data (measurments), 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.
828856ecd121a60c206ba53ff2082165
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 needed to reproduce findings from this non-WMO study will be stored for 15 years.
828856ecd121a60c206ba53ff2082165
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 and is under the responsibility of the Principal Investigator of the research group. The data package with measurements (not the raw CT-scans) will be published in the UMC Utrecht repository (DataverseNL).
828856ecd121a60c206ba53ff2082165
dmponline.dcc.ac.uk
7. Data Preservation and Archiving
Give the Persistent Identifier (PID) that you will use as a permanent link to your published dataset.
The publication will be open accessible. The study protocol and anonymized data, needed to reproduce findings will also be available. A DOI will be assigned to all publications.
828856ecd121a60c206ba53ff2082165
dmponline.dcc.ac.uk
8. Data Sharing Statement
Describe what reuse of your research data you intend or foresee, and what audience will be interested in yourdata.
The raw data can be of interest for other researchers or for spin off projects. Our processed genetic data can be of interest for other Europeans researchers in the field.
828856ecd121a60c206ba53ff2082165
dmponline.dcc.ac.uk
8. Data Sharing Statement
Describe which metadata will be available with the data and what methods or software tools are needed to reusethe data.
The publication will be open accessable. The study protocol and this Data Management Plan will also be available.
828856ecd121a60c206ba53ff2082165
dmponline.dcc.ac.uk
8. Data Sharing Statement
Describe where you will make your data findable and available to others.
The data package with measurements (not the raw CT-scans) will be published in the UMC Utrecht repository (DataverseNL). Dataverse is open source software developed by Harvard University. Results and meta data will be published in an article.
828856ecd121a60c206ba53ff2082165
dmponline.dcc.ac.uk
0. Administrative questions
Name of data management support staff consulted during the preparation of this plan.
I consulted the data steward, namely Nicolas Dintzner, via the dmp platform.
e60882269b3d5a074f47850846534fa8
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. Ownership of the data and intellectual property rights to the data will be managed through a graduation agreement between the TU Delft, Populytics and myself (Daniel Korthals).
e60882269b3d5a074f47850846534fa8
dmponline.dcc.ac.uk
IV. Legal and ethical requirements, codes of conduct
Please list the categories of data subjects
A distinguishment is made between policy makers (people closely involved with the public decision-making process) and experts/visionairies (people with a more theoretical perspective).
e60882269b3d5a074f47850846534fa8
dmponline.dcc.ac.uk
IV. Legal and ethical requirements, codes of conduct
Please contact the privacy team (
[email protected] ) for advice on data transfer. Please also bring your draft DMP when contacting the privacy team. Please record below their advice, the data transfer mechanism used and agreed security measures: Question not answered.
e60882269b3d5a074f47850846534fa8
dmponline.dcc.ac.uk
VI. Data management responsibilities and resources
Is TU Delft the lead institution for this project?
The TU Delft is the lead institution for this project, but during the project, I will work together with Populytics.
e60882269b3d5a074f47850846534fa8
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?
Niek Mouter ([email protected])
e60882269b3d5a074f47850846534fa8
dmponline.dcc.ac.uk
0. Administrative questions
Name of data management support staff consulted during the preparation of this plan.
My faculty data steward, Nicolas Dintzner, has reviewed this DMP on 17/11/2021.
baa82f75d1455700748c60147896d689
dmponline.dcc.ac.uk
VI. Data management responsibilities and resources
If you leave TU Delft (or are unavailable), who is going to be responsible for the data resulting from this project?
My promotor and daily supervisor
baa82f75d1455700748c60147896d689
dmponline.dcc.ac.uk
VI. Data management responsibilities and resources
What resources (for example financial and time) will be dedicated to data management and ensuring that data willbe FAIR (Findable, Accessible, Interoperable, Re-usable)?
The dedicated data manager hired in the project (see the project proposal and staff allocation) will be responsible for data management in the project.
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dmponline.dcc.ac.uk
Overview
Name of Principal Investigator(s)
Dr Zhi Xu
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dmponline.dcc.ac.uk
Overview
Investigator(s) contact details
f471914d4f4afb5b7aec2bc8ba870fc6
dmponline.dcc.ac.uk
Overview
Funding application title
Interdisciplinary Insights: Dance, Motion Capture and Cultural Identity
f471914d4f4afb5b7aec2bc8ba870fc6
dmponline.dcc.ac.uk
Overview
Total funding required
£4250
f471914d4f4afb5b7aec2bc8ba870fc6
dmponline.dcc.ac.uk
Data Collection
What data will you collect or create?
Footage from rehearsals and the premiere; photos from rehearsals and the premiere.
f471914d4f4afb5b7aec2bc8ba870fc6
dmponline.dcc.ac.uk
Data Collection
How will the data be collected or created?
The data will be collected during rehearsals with dancers and collaborators. A mobile phone and a Sony camera will be used to collect the data. Motion capture data will be generated by the dancers using the OptiTrack MoCap system.
f471914d4f4afb5b7aec2bc8ba870fc6
dmponline.dcc.ac.uk
Documentation and Metadata
What documentation and metadata will accompany the data?
Project Information Forms, consent forms and BSU Ethical approval forms will accompany the data.
f471914d4f4afb5b7aec2bc8ba870fc6
dmponline.dcc.ac.uk
Ethics and Legal Compliance
How will you manage any ethical issues?
This project does not raise significant ethical issues. Full consent forms will be obtained from the dancers.
f471914d4f4afb5b7aec2bc8ba870fc6
dmponline.dcc.ac.uk
Ethics and Legal Compliance
How will you manage copyright and intellectual property (IP) issues?
Copyright and consent forms will be held by the principal investigator and BSU. This will be made clear to all participants prior to publication.
f471914d4f4afb5b7aec2bc8ba870fc6
dmponline.dcc.ac.uk
Storage and Backup
How will the data be stored and backed up during the research?
The data will be stored and backed up on OneDrive and a specific hard drive for this research project. The data will be transferred to BathSpaData after completing the project.
f471914d4f4afb5b7aec2bc8ba870fc6
dmponline.dcc.ac.uk
Storage and Backup
How will you manage access and security?
All research data, footage and details will be stored on a password-protected laptop provided by BSU and a password-protected hard drive. Only the principal investigator can access the full data.
f471914d4f4afb5b7aec2bc8ba870fc6
dmponline.dcc.ac.uk
Selection and Preservation
Which data should be retained, shared and/or preserved?
The data, including footage and photos from rehearsals, the premiere, and the creative process of the research, will be retained.
f471914d4f4afb5b7aec2bc8ba870fc6
dmponline.dcc.ac.uk
Selection and Preservation
What is the long-term preservation plan for the dataset?
The dataset will be destroyed after 10 years if no access is needed for publication and research purposes.
f471914d4f4afb5b7aec2bc8ba870fc6
dmponline.dcc.ac.uk
Data Sharing
How will the data be shared?
Data will be shared through publications and presentations.
f471914d4f4afb5b7aec2bc8ba870fc6
dmponline.dcc.ac.uk
Responsibilities and Resources
Who will be responsible for data management?
The principle investigator
f471914d4f4afb5b7aec2bc8ba870fc6
dmponline.dcc.ac.uk
Responsibilities and Resources
What resources will you require to deliver your plan?
Laptop provided by BSU The University Theatre, Bath Spa University TV Studio B in Commons Dance studios
f471914d4f4afb5b7aec2bc8ba870fc6
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.
Being River delves into the embodiment of identity and the entanglement between dancing bodies and cutting-edge technologies, including virtual reality, motion capture, real-time interaction and sensors. This innovative performance explores the concept of intercultural identity and transcultural experiences, metaphorically represented through the inherent qualities of a river—fluidity, continuous movement and adaptability. By merging the artistry of dance with advanced technological interventions, Being River prompts audiences to reflect on the dynamic and ever-changing nature of identity.
f471914d4f4afb5b7aec2bc8ba870fc6
dmponline.dcc.ac.uk
Data Collection
What data will you collect or create?
Materials fabrication and characterization data, cell and tissue culture data, Data about screening of anti-microbial drugs, anti-viral drugs and phage therapies.
d82e7765b437a19b0db74c57e9437dac
dmponline.dcc.ac.uk
Data Collection
How will the data be collected or created?
Analysis of the materials, cultured cells, cultured tissues, screened anti-microbial, anti-viral drugs, and phage therapy using, Phase contrast microscopy, fluorescent microscopy, TEM, SEM, PCR, plaque assay.
d82e7765b437a19b0db74c57e9437dac
dmponline.dcc.ac.uk
Documentation and Metadata
What documentation and metadata will accompany the data?
appropriately structured metadata and published papers
d82e7765b437a19b0db74c57e9437dac
dmponline.dcc.ac.uk
Ethics and Legal Compliance
How will you manage copyright and Intellectual Property Rights (IPR) issues?
appropriate confidentiality agreements and publication plans
d82e7765b437a19b0db74c57e9437dac
dmponline.dcc.ac.uk
Storage and Backup
How will the data be stored and backed up during the research?
Reasonable steps should be taken to ensure that publicly-funded data is not held in any jurisdiction where the available legal safeguards provide lower levels of protection than are available in the UK
d82e7765b437a19b0db74c57e9437dac
dmponline.dcc.ac.uk
Storage and Backup
How will you manage access and security?
The appropriate security controls created at Loughborough University and Nottingham University will be followed.
d82e7765b437a19b0db74c57e9437dac
dmponline.dcc.ac.uk
Selection and Preservation
Which data are of long-term value and should be retained, shared, and/or preserved?
The data of screening anti-microbial, anti-viral drugs and phage therapies.
d82e7765b437a19b0db74c57e9437dac
dmponline.dcc.ac.uk
Data Sharing
How will you share the data?
The data will be made freely and openly available with as few restrictions as possible in a timely and responsible manner.
d82e7765b437a19b0db74c57e9437dac
dmponline.dcc.ac.uk
Responsibilities and Resources
Who will be responsible for data management?
The PI of the project
d82e7765b437a19b0db74c57e9437dac
dmponline.dcc.ac.uk
0. Administrative questions
Name of data management support staff consulted during the preparation of this plan.
Nicolas Dintzner
aa5ea0e7380981b4995ad1340645b355
dmponline.dcc.ac.uk
I. Data description and collection or re-use of existing data
How much data storage will you require during the project lifetime?
not sure yet, but will probably on the low side in this category
aa5ea0e7380981b4995ad1340645b355
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. see cooperation agreement Eneco / The Behaviouralist / us. Data will be used for publication purposes, no licenses are involved.
aa5ea0e7380981b4995ad1340645b355
dmponline.dcc.ac.uk
IV. Legal and ethical requirements, codes of conduct
Please list the categories of data subjects
Eneco clients with solar panels in the Netherlands
aa5ea0e7380981b4995ad1340645b355
dmponline.dcc.ac.uk
IV. Legal and ethical requirements, codes of conduct
Please describe the informed consent procedure you will follow:
Eneco only includes clients who approve the use of their survey and consumption data for research
aa5ea0e7380981b4995ad1340645b355
dmponline.dcc.ac.uk
IV. Legal and ethical requirements, codes of conduct
Will your study participants be asked for their consent for data sharing?
Yes, informed consent is handled by Eneco
aa5ea0e7380981b4995ad1340645b355
dmponline.dcc.ac.uk
V. Data sharing and long-term preservation
Apart from personal data mentioned in question 22, will any other data be publicly shared?
Data from survey question and intervention emails (click trough etc) will be published on aggregated level
aa5ea0e7380981b4995ad1340645b355
dmponline.dcc.ac.uk
VI. Data management responsibilities and resources
If you leave TU Delft (or are unavailable), who is going to be responsible for the data resulting from this project?
My promotor (Gerdien de Vries) , or head of department of MAS within TPM when she leaves TUD.
aa5ea0e7380981b4995ad1340645b355
dmponline.dcc.ac.uk
VI. Data management responsibilities and resources
What resources (for example financial and time) will be dedicated to data management and ensuring that data willbe FAIR (Findable, Accessible, Interoperable, Re-usable)?
No extra costs on storage or software or publication are foreseen yet
aa5ea0e7380981b4995ad1340645b355
dmponline.dcc.ac.uk
Data Collection
What data will you collect or create?
INTERVIEWS I will collect audio recordings of interviews, and transcripts of these interviews. Audio recordings will be stored on secure the University of Aberdeen’s server, in pseudonymised form (with key stored separately on the server). Recordings and key will be accessible to Lead Researcher only. Estimated data volume: up to 30 interviews, each lasting one hour and totalling 200 MB. Total (recorded on personal smartphone) 6 GB Transcripts of interviews with family caregivers (16 paid or voluntarily individuals) A total of 16 family caregivers from 8 different disability groups (Visual, Hearing, Speech and Language, Psychological and Emotional, Mental, Chronic, Orthopedic, ADHD and other disabilities) are planned to be interviewed (8x2=16). Transcripts will be stored on secure University of Aberdeen’s server, in pseudonymised form. Pseudonymised transcripts will be accessible to named researcher and supervisor. Estimated data volume: 32 MB Transcripts of interviews with academics and experts A total of 14 academics and experts on disability, health and spirituality are planned to be interviewed. Transcripts will be stored on secure the University of Aberdeen’s server, in pseudonymised form. Pseudonymised transcripts will be accessible to named researcher and supervisor. Estimated data volume: 28 MB VISITS AND OBSERVATIONS I will carry out visits and observations to institutions and organizations (universities, churches, mosques, associations, public or private organisations) that provide care services for the disabled. I will also take notes during the visits and observations of the activity and associated comments/conversation of leaders and participants. Taken notes on visits and observations will be stored on secure the University of Aberdeen’s server, and accessible to Lead Researcher and named supervisor. Estimated data volume: 20 MB Photos of Visits and Observations Photos in digital format Visited places will create digital photos which will be stored on secure the University of Aberdeen’s server. Photos and key will be accessible to Lead Researcher and supervisor only. Estimated data volume: 100 MB. Estimated volume: up to 20 photos Survey Anonymous survey data will be collected in plain text (.txt) format, as this allows for results that can be clearly read but are not associated with specific individuals. Data will be collected electronically, including answers to a series of questions designed to understand the needs and experiences of family caregivers.
79c991c2ebb3ed48b5052d7f057bdbbf
dmponline.dcc.ac.uk
Data Collection
How will the data be collected or created?
INTERVIEWS Audio recordings of the interviews will be collected using my personal device and transcribed using Microsoft Word using a laptop provided by the University of Aberdeen. VISIT AND OBSERVATION NOTES Notes taken regarding the institutions visited and observed will be uploaded to the laptop provided by the University of Aberdeen. It will then be uploaded to the University of Aberdeen’s server. PHOTOS DURING VISITS AND OBSERVATIONS Photos taken with my personal smartphone during the visits will be uploaded to the laptop provided by the University of Aberdeen. It will then be uploaded to the University of Aberdeen’s server. SURVEY The chosen platform is SurveyPlanet, which allows continuous access to surveys and results for as long as you choose to keep the survey on their platform. SurveyPlanet is certified as a trusted site, and all HTTP requests are made through a Secure Socket Layer (SSL) to ensure data security. Whether you are creating or participating in SurveyPlanet surveys, they guarantee that your personal information and survey data will never be sold, disclosed, or otherwise distributed.
79c991c2ebb3ed48b5052d7f057bdbbf
dmponline.dcc.ac.uk
Documentation and Metadata
What documentation and metadata will accompany the data?
Documents accompanying the data will contain information about each research activity to which the data relates (date and location of creation; title; conditions of access). The project does not envisage the data being available to secondary users. Hence no other documentation will accompany the data.
79c991c2ebb3ed48b5052d7f057bdbbf
dmponline.dcc.ac.uk
Ethics and Legal Compliance
How will you manage any ethical issues?
Participants will be given information leaflets and consent forms as part of being recruited to the project. All will be in both standard and easy-read formats. These will include: information about how data will be obtained, stored and used; the timing for deciding to request deletion of their data; the role (and any limits) of anonymisation; information about the right to withdraw from the project at any point and how to do so; consent for the retention of (fully anonymised) data and its use in future publications and other forms of dissemination of research findings. Where participants have intellectual disabilities, the forms will also be provided to a parent or carer. The forms will be supplemented by a face-to-face meeting with the lead researcher, with parent/carer also present (with follow- up/meeting/s if needed) - all agreed with the participant - to ensure meaningful consent. All data will be stored in password-protected storage area on the University of Aberdeen's secure servers. Participants' data will be protected by pseudonymisation, with the key stored separate and password-protected files. Data will be kept in accordance with the University of Aberdeen’s RECORDS RETENTION SCHEDULES, section 2.9. which states that data can be kept for up to 5 years after completion of the project, in line with JISC guidelines, and then archived.
79c991c2ebb3ed48b5052d7f057bdbbf
dmponline.dcc.ac.uk
Ethics and Legal Compliance
How will you manage copyright and Intellectual Property Rights (IPR) issues?
The copyright and IPR for the data is owned by the University of Aberdeen. Re-use by third parties is not anticipated.
79c991c2ebb3ed48b5052d7f057bdbbf
dmponline.dcc.ac.uk
Storage and Backup
How will the data be stored and backed up during the research?
Data will be stored during collection on the R: shared drive. An annual data transfer will bring collated and anonymised data in to the secured shared file for interim and final analysis. The R: drive provides the opportunity for historic data to be retrieved in the event of deletion or corruption of files.
79c991c2ebb3ed48b5052d7f057bdbbf
dmponline.dcc.ac.uk
Storage and Backup
How will you manage access and security?
Security risks to the electronic data files will only occur should the Abdn Un. account protected shared drive folder R: is accessed. The computer that data saved will be accessed by the Lead Researcher only. On the other hand due to there is no paper file in the research there is not any access and security problem for this.
79c991c2ebb3ed48b5052d7f057bdbbf
dmponline.dcc.ac.uk
Selection and Preservation
Which data are of long-term value and should be retained, shared, and/or preserved?
All kind of data (voice records of interviews, transcriptions and taken noted during visits and observations) are of long term value and should be retained.
79c991c2ebb3ed48b5052d7f057bdbbf
dmponline.dcc.ac.uk
Selection and Preservation
What is the long-term preservation plan for the dataset?
After three years from the end of the project, the data will be archived on the University of Aberdeen's servers.
79c991c2ebb3ed48b5052d7f057bdbbf
dmponline.dcc.ac.uk
Data Sharing
How will you share the data?
Sharing of data is not anticipated.
79c991c2ebb3ed48b5052d7f057bdbbf
dmponline.dcc.ac.uk
Responsibilities and Resources
Who will be responsible for data management?
Lead Researcher and supervisor only
79c991c2ebb3ed48b5052d7f057bdbbf
dmponline.dcc.ac.uk
Responsibilities and Resources
What resources will you require to deliver your plan?
This research aims to develop a model based on supporting the spiritual, psychosocial, educational, religious and physical needs of the individual. In order to develop and evaluate a spiritual-based psychosocial education program for families caring for people with disabilities, a mixed-method approach is considered the most appropriate method. This is an approach in which both qualitative and quantitative data are collected and analysed. The conceptual stages of systematic training programs (analysing, designing, developing, implementing and evaluating) have stood the test of time for decades and have proven their usefulness. One reason for their resilience, validity and reliability is that they allow practitioners and researchers the opportunity to adapt and revise. In this context, one of these educational system designs is the ADDIE Model, which has been successful for more than 60 years. For a program to be developed according to the ADDIE model, it is necessary to use a wide range of research methods and techniques that combine qualitative and quantitative research approaches. A program produced by following the ADDIE model can be used in any online or face-to-face environment. Furthermore, this systematic process is represented by the acronym ADDIE, which stands for "Analysis, Design, Development, Implementation, and Evaluation" (Analysis, Design, Development, Implementation, and Evaluation). Each stage in the ADDIE model is interrelated and interactive. The analysis phase is the most important phase in this process. When curriculum designers do the analysis phase before creating, developing and even implementing the plan, they really save a huge amount of workload, effort and time. Moreover, all phases of the model are in line with scientific research methods and techniques.
79c991c2ebb3ed48b5052d7f057bdbbf
dmponline.dcc.ac.uk
Assessment of existing data
Provide an explanation of the existing data sources that will be used by the research project, with references
Literature searches have shown than there is no available data to demonstrate the potential of independently performed checks for FAIR guiding principles in improving the content of research manuscripts. The study involves 3 groups, 1 of which will use existing data: Group 0: research published by University of Bristol and University of Northumbria Health and Life Science researchers will act as a control arm for Findability and Accessibility checks Groups 1 & 2: these groups require the generation of novel research data to assess the impact of the intervention of independently performed Findability and Accessibility checks
e0d94061e80bfa9c7559e8d076ae1de1
dmponline.dcc.ac.uk
Assessment of existing data
Provide an analysis of the gaps identified between the currently available and required data for the research
There are no datasets generated which match the interventions of this study for Groups 1 and 2.
e0d94061e80bfa9c7559e8d076ae1de1
dmponline.dcc.ac.uk
Information on new data
Provide information on the data that will be produced or accessed by the research project
The following data will be produced: 1. Data on Compliance with Findability and Accessibility: 1.1 Scores will be recorded for each category: Group 0: Published manuscripts will be scored once against the defined Findability and Accessibility criteria. Group 1: Pre-submission manuscripts submitted following review of training data and checklist will be scored against the defined Findability and Accessibility criteria. Group 2: (A). Baseline Score: pre-submission manuscripts submitted following review of training data and checklist will be scored against the defined Findability and Accessibility criteria. (B) Post FA check score: pre-submission manuscripts submitted following provision of the results of the Findability and Accessibility check to the researcher will be scored against the Findability and Accessibility criteria again. 1.2 Duration of each assessment: the time taken to assess each manuscript for Findability and Accessibility will be recorded: date of check and duration of check in minutes. 2. Qualitative Assessment All participants will be asked to provide feedback on their experience of completing the training and, for those in Group 1, the experience of receiving specific feedback on Findability and Accessibility. Questionnaire will include both closed and open-ended questions.
e0d94061e80bfa9c7559e8d076ae1de1
dmponline.dcc.ac.uk
Quality assurance of data
Describe the procedures for quality assurance that will be carried out on the data collected at the time of datacollection, data entry, digitisation and data checking.
Scoring guidance: the Project Co-Lead and the Research Co-Lead will review a variety of research datasets and create a scoring guidance document which provides specific instructions for the range of datasets reviewed. This will assist the Research Associate in scoring manuscripts in a consistent manner. To minimise errors in the scoring of manuscripts by the Research Co-Lead, 5% of manuscripts in each randomised group will be checked by the Project Co-Lead as well as the Research Co-Lead. The results of each check will then be compared to ensure consistency and reference made to the scoring guidance to resolve any conflicting scores. Data collected on the date and duration of checks: date range validation checks and max/min duration validation checks will be perform to help identify erroneous data.
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Backup and security of data
Describe the data security and backup procedures you will adopt to ensure the data and metadata are securely storedduring the lifetime of the project.
During the research study the data will be stored on SharePoint provided by University of Bristol: this is backed-up according the University's IT Security Policy and access will be restricted to the Project Lead, Research Co-Lead and Project Co-Lead. Following completion of the project the data will be moved to the Research Data Storage Repository (RDSF) which is backed up to tape.
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Management and curation of data
Outline your plans for preparing, organising and documenting data.
1. Research Dataset 1.1 Findability and Accessibility Scores: Scores will be recorded for each category in a MS Excel, one file and one worksheet per pre-submission manuscript (Groups 1 and 2) and one file per published paper (Group 0.) 1.2 Qualitative Assessment The questionnaire will be administered via Microsoft Forms or a similar tool which creates a record of the survey responses held in the University's secure Microsoft ecosystem. All responses will be downloaded and stored into one MS Excel file. 2. Metadata 2.1 Informed consent record. A MS Excel record of the participant ID number, date and time that the participant provided informed consent to enter the study, and, if a participant chooses to withdraw their consent, the date and time that the request was made and consent withdrawn. Research discipline will also be recorded here. 2.2 Date and time of receipt of all pre-submission manuscripts for both Group 1 and Group 2 logged in a MS Excel file 2.3 Date and time that the results of the FA check were provided to Group 2 researchers 2.4 Attribution metadata accompanying each manuscript score i.e. author, when, plus justification/evidence for scores plus comments 2.5 Feedback generated following each score - txt file with attribution metadata 2.6 Date and time of Qualitative Assessment Survey responses
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Difficulties in data sharing and measures to overcome these
Identify any potential obstacles to sharing your data, explain which and the possible measures you can apply toovercome these.
Datasets can be fully anonymised and contextual information which may identify a participant redacted. This is described in the next section.
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Consent, anonymisation and strategies to enable further re-use of data
Make explicit mention of the planned procedures to handle consent for data sharing for data obtained from humanparticipants, and/or how to anonymise data, to make sure that data can be made available and accessible for futurescientific research.
Consent for data-sharing (in anonymised form) will be included in the informed consent form which participants are asked to review and complete as a condition of entering the study. The following measures will be taken to produce a dataset which is fully anonymised and can therefore be shared openly: 1. Upon study entry participants will be assigned an ID number which will be recorded along with their name and email address in a password-protected file in the secure SharePoint site. These details will be used to contact participants during the study. Once data analysis is complete this file will be destroyed. 2. The Qualitative Assessment Questionnaire will be reviewed to check for any contextual information which may identify a participant. This data will be redacted from the version of this file which is prepared for data-sharing. The full set of responses will be held in the RDSF and not made publicly available.
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Copyright and intellectual property ownership
State who will own the copyright and IPR of any new data that you will generate.
Data will be shared under a CC by 4.0 licence. The IPR will belong to the University of Bristol.
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Responsibilities
Outline responsibilities for data management within research teams at all partner institutions
All data will be handled and stored by the University of Bristol: PL: Project Lead PcL: Project Co-Lead RcL: Research Co-Lead 1. Assign permissions to SharePoint file and periodically monitor (PL & CL) 2. Create and maintain data management plan (RcL) 3. Create secure SharePoint site for data storage (PL & CL) 4. Create a file hierarchy which is described in an overarching README file (RcL) 5. Create standard file formats based on a recognised tabular data standard and README files for metadata (RcL) 6. File data in SharePoint on an ongoing basis (RcL) 7. File analysis datasets (RcL) 8. Prepare anonymised datasets (RcL) 9. Perform periodic checks of file contents (CL) 10. Transfer all data to RDSF at study end (PL & CL)
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Preparation of data for sharing and archiving
Are the plans for preparing and documenting data for sharing and archiving with the UK Data Service appropriate?
Datasets will be provided in open formats (e.g. xlsx) for archiving with the UK Data Service.
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Preparation of data for sharing and archiving
Is there evidence that data will be well documented during research to provide highquality contextual informationand/or structured metadata for secondary users?
This data is described in this section: Outline your plans for preparing, organising and documenting data.
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Administration & Project Description
Funding body (if applicable)
Ministerie van Binnenlandse Zaken en Koninkrijksrelaties
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Administration & Project Description
Grant number (if applicable)
201865002.003.338
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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 Koen Migchelbrink [email protected] 0000-0002-2195-3690 Erasmus Universiteit Rotterdam 2 Marieke van Genugten [email protected] Radboud Universiteit Nijmegen 3 Bart Voorn [email protected] Radboud Universiteit Nijmegen 4 Rianne Warsen [email protected] Erasmus Universiteit Rotterdam 5 Loran van Baardewijk [email protected] Erasmus Universiteit Rotterdam 6 7 8 9 10
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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
Which performance indicators can be used to indicate the effectiveness and efficiency (doelmatigheid) of regional collaborations. In this research, we conduct a literature review and an interview study with existing regional collaborations to investigate which performance indicators can help established the effectiveness and efficiency of regional collaborations. We select twelve obligatory and semi-obligatory regional collaborations and interview their directors or chief-administrative-officers to discover which performance indicators can be used. We obtain the names and contact details of all respondents form open-soucre sources and conduct the study by assignment from the ministery of Internal Affairs
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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
In this study, we conduct a purpose oriented literature review of academic literature on the effeciveness and efficiency of regional collaborations, a document analysis of open source annual reports of these regional collaborations, and n = 12 interviews with directors and chief-administrative-officers of regional collaborations. These interviews are conducted in person, recorded and verbatim transcribed for analysis.
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Administration & Project Description
Specify the (financial and time) resources needed for data management in this project
We conduct the interviews in august, funding is provided by the ministery of Internal Affairs. No specific budget is reserved for data management (all costs are coverd by EUR).
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Preparation: Legal Arrangements and Policy
List the agreements that
you will initiate and with whom will you make them. Who Type of agreement Radboud University We conduct the study together with researchers from the Radboud University. We have made a contract in which we explicate rights and responsabilities. Project control (and data management) is in the hands of EUR. For details, also see research project contract. Ministry of Internal Affiars We conduct this study on behalf of the ministery of Internal Affairs. We have drafted and signed a contract with the ministry, which has already been approved and signed of by the legal department of the EUR. The contract is based on the ARVODI2018 rules and regulations Respondents Informed constent
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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/RU/Min internal Affairs Funding agreement V11.4 Dutch government ARVODI 2018
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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 5-10GB Yes No Confidential Interview transcripts .docx/.odt <1 GB Yes No Confidential Public documents of companies (annual reports) .pdf <1 GB No Yes Public
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During research: Collecting and analyzing
If you use private hardware, software, or freeware, please specify what and for what reason:
Private recording devices (dictafoons, but not mobile phones) can be used when interviewing respondents on location.
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Research Publication: Data sharing and re-use
Please specify why you are unable to share (all) data (and code)
We deposit the transcripts in the DANS repository, but will not grant access to other researchers (privacy of respondents).
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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)
Codebook, topic list .pdf <1 GB
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Research Publication: Data sharing and re-use
Please specify the conditions under which data with restricted access may be re-used:
Data cannot be re-used; transcripts are confidential
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Research Publication: Data sharing and re-use
Please specify which license
We don't share data
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After research: Archiving
List the data and all documentation you will be archiving. These data constitute your archival package.
Data Format Size Informed Consent forms (signed) .pdf <1 GB Raw data: transcripts .pdf 5-10 GB Processed data: atlas.ti file .odt, 1-5 GB Contracts & Terms of use .pdf <1 GB Data Management Plan .pdf <1 GB Grant application & project description .pdf <1 GB Ethical review application & approval document .pdf <1 GB
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After research: Archiving
Please list the name of the archive and link to the archive
Public report on the findings of the complete project, written for the ministry of Internal Affairs. Report will be made public after a mandatory period of 6 weeks on the website of Open Government
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Manchester Data Management Outline
Please provide details of how you plan to store, protect and ensure confidentiality of the participants' informationas stated in the question above
No personal information will be stored as part of this research project.
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Manchester Data Management Outline
Who will act as the data custodian or information asset owner for this study?
Dr Jessica Louise Boland
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