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VI. Data management responsibilities and resources
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If you leave TU Delft (or are unavailable), who is going to be responsible for the data resulting from this project?
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The supervisors (Zac Taylor, Michaël peeters, Maria Villalba Muñoz)
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81c5547d38a03c279980a82ecd51e046
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dmponline.dcc.ac.uk
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VI. Data management responsibilities and resources
|
What resources (for example financial and time) will be dedicated to data management and ensuring that data willbe FAIR (Findable, Accessible, Interoperable, Re-usable)?
|
The results of the questionnaire will be shared through the final results/presentation. Each respondent has the chance to opt for a follow-up email with the project results. During the expert meeting, notes are taken and shared with the participants.
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81c5547d38a03c279980a82ecd51e046
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dmponline.dcc.ac.uk
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1. Data description
|
What method of data collection will you be using?
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We plan to extract DNA and RNA from archival breast cancer tissues (and from normal tissue adjacent to each cancer) which are part of an archival collection, collected for a randomized clinical trial in Sweden (SweBCG91RT). All samples are stored in a biobank and no new collection is needed.
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7e776c38a517c88df57238bc4da13bc3
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dmponline.dcc.ac.uk
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1. Data description
|
Describe how data will be collected, created or reused.
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Every tissue sample - stored as a paraffin-embedded block - will be inspected by a resident pathology specialist. Here, areas of tumor and adjacent normal tissues will be marked and excised for DNA and RNA extraction using QIAGEN FFPE kits. Resulting DNA and RNA eluates will be processed at Lund University Center for Translational Genomics (part of SciLife laboratories) for DNA/RNA QC and sequencing (DNA: whole exome sequencing; RNA: RNA sequencing). Data will be then uploaded on a secure encrypted server. Backup with equal security level will also be put in place.
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7e776c38a517c88df57238bc4da13bc3
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dmponline.dcc.ac.uk
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1. Data description
|
What type of material (physical or digital) will you use (e.g. text, images, measurement data)? In which fileformats will you save your data?
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Data will be primarily constituted of sequencing files (.fastq), as they are the resulting raw files from Illumina sequencers. Additional processed files (e.g. .mgf tables) will also be stored. Clinical metadata will be stored as text files.
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7e776c38a517c88df57238bc4da13bc3
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dmponline.dcc.ac.uk
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1. Data description
|
According to your estimation, how large is the maximum storage capacity will you need throughout the project(primary data and revisions of processed data)?
|
We plan to analyze a cohort of breast cancers by whole exome sequencing (WES) and RNA sequencing (RNAseq): - primary breast tumors with no recurrence + normal adjacent tissues (NATs; n = 192 + 192) - primary breast tumors with recurrence + NATs (n = 192 + 192) - locally recurrent breast tumors + NATs (n = 192 +192) TOTAL number of specimens: 1,152 (WES) + 1,152 (RNAseq) WES data size: ~6 GB per sample (only raw data) --> ~20 TB total storage (including intermediate files, results, and metadata) RNAseq data size: ~5 GB per sample --> ~15 TB total storage (including intermediate files, results, and metadata) TOTAL allocation memory: ~35 TB
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7e776c38a517c88df57238bc4da13bc3
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dmponline.dcc.ac.uk
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2. Documentation and data quality
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How will your data/your material be documented and described with metadata, take collection method, content,structure, standards and formats in consideration; in order for you and other researchers or computer software toread and be able to interpret the data correctly?
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Each sequencing file will be connected to already collected metadata, that is clinical characteristics recorded at diagnosis and histo- pathological features used for diagnosis. Metadata is stored electronically as tabular text files. Metadata will be employed to group sample sets and guide the analysis of specific subgroups of patients. We have already obtained access to the metadata files of the sample cohort and already performed studies on the larger dataset (e.g. PMID: 36975842).
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7e776c38a517c88df57238bc4da13bc3
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dmponline.dcc.ac.uk
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2. Documentation and data quality
|
How will the quality of the research data be ensured and documented (for example by repeated measurements,data entry validation etc.)?
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The metadata files containing the clinical and histo-pathological features of the tumors included in this study have already been verified and transcribed from official clinical records. With regards to sequencing data, quality control prior sequencing analyses are routinely run for each sample by the Center for Translational Genomics. Additionally, fastQC is routinely used to assess sequencing data quality post hoc. These tests assess, among others, sequence quality, GC content, and sequence duplication levels. All of these results will be stored and employed for selection of only high quality results.
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7e776c38a517c88df57238bc4da13bc3
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dmponline.dcc.ac.uk
|
3. Storage and backup
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How will you ensure integrity of storage and backup of data and metadata during the research process?
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The NAISS SENS platform (Bianca and Kastor resources) will be employed for storage and processing during the research process. These are resources hosted by UPPMAX, part of the University of Uppsala. Encrypted backups will be set in place at Lund University through Lund Data Center and at UPPMAX (backup of Kastor resource). Data managers (Lund University: Tommaso De Marchi, Aaron Scott, and Elisabeth Hjortswang; UPPMAX: to be defined) will manage the data and be responsible for backup at each location (Lund and Uppsala). For each file, a total of 3 copies will be kept up to results publication. After publication, a backed up copy will be kept within Lund University encrypted servers. Data will be backed up once a year. Version control will not be implemented.
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7e776c38a517c88df57238bc4da13bc3
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dmponline.dcc.ac.uk
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3. Storage and backup
|
How is information security and access to data controlled, for example in reference to sensitive data and personaldata?
|
Data security measures will encompass the use of encryption for data storage and the use of two-factor authentication for authorized data managers. Ethical Review Board authorizations (Diary numbers: LU-2010/127 and LU-2001/240) have been already obtained. Data will not be shared nor employed for any purpose other than the one stated in the research project aims. Access to data will be highly selective, with only dataset administrators being granted access. Two-factor authentication and access monitoring will be put in place. We do not plan to allow external collaborators to access the data. If the need arises, data access will be restricted (e.g. one-time password or restricted access time span) and will only be possible via UPPMAX. No copy of the data will be possible. Data transfer to secure data storage after acquisition will be performed through secure protocols (e.g. FTPS).
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7e776c38a517c88df57238bc4da13bc3
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dmponline.dcc.ac.uk
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4. Legal and ethical requirements
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How will you ensure that data is processed according to the regulations concerning for example personal recordhandling, confidentiality and intellectual property rights?
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Data will be only stored on secure encrypted location. Two-factor authentication will be available, but only to data managers. Consent for use of specimens for research purposes was given at the time of specimen collection, thus no new consent request is needed. Data will be pseudo anonymized for project leaders and anonymized for authorized data managers. Personal information such as personal numbers will not be accessibile.
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7e776c38a517c88df57238bc4da13bc3
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dmponline.dcc.ac.uk
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4. Legal and ethical requirements
|
In what way will you ensure that data is handled correctly from an ethical standpoint?
|
Data is under approval from the Ethical Review Board (Etikprövningsnämnden) with numbers DNR LU-2010/127 and LU-2001/240
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7e776c38a517c88df57238bc4da13bc3
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dmponline.dcc.ac.uk
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5. Data sharing and long-term preservation
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Will research data and/or information on data (metadata) be made publicly available?
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As with previous projects, no personal information will be disclosed to the public or to the scientific community. Disclosed information will be non-personal and samples will be given anonymized IDs. Sequencing files will not be shared. Following publication of results, a copy of the data will be kept on Lund University secure servers.
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7e776c38a517c88df57238bc4da13bc3
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dmponline.dcc.ac.uk
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5. Data sharing and long-term preservation
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If so, how, when and where will data and/or metadata be made available? Are there any limitations (legal and/orethical) that prevents sharing or reuse of it?
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Sequencing data will not be shared at any moment. Metadata may be shared upon request but always in anonymized form. This will be available upon publication of the dataset results in the form of a research paper. Contact information for data request will be published along with study results. Sensitive data will not be shared, while non-sensitive data will be handled directly. We do not plan to have a PID for our data.
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7e776c38a517c88df57238bc4da13bc3
|
dmponline.dcc.ac.uk
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5. Data sharing and long-term preservation
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If you plan to make data/metadata publicly available, will you use a unique and persistent identifier (PID) such asa DOI?
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Data will not be made available if not in anonymized form upon publication.
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7e776c38a517c88df57238bc4da13bc3
|
dmponline.dcc.ac.uk
|
5. Data sharing and long-term preservation
|
If data has been created or collected, is there a reason for keeping these forever or may they be destroyed after10-20 years? What would the reasons be for preservation?
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Data will be stored securely since it constitutes a precious resource for the scientific community, but with constant technological advances it may become obsolete and thus be destroyed.
|
7e776c38a517c88df57238bc4da13bc3
|
dmponline.dcc.ac.uk
|
6. Responsibilities and resources
|
Who is responsible for the data management and assists with the data management during the project? Who isresponsible for data management, keeping of records and long-term preservation, after the project finished?
|
The applicant (Tommaso De Marchi, Lund University), two bioinformaticians (Aaron Scott and Elisabeth Hjortswang, Lund University), and the designated person from NAISS SENS (University of Uppsala, to be defined) will be responsible for data management on each site, including storage and processing. Data ownership rests with the PI, Emma Niméus.
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7e776c38a517c88df57238bc4da13bc3
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dmponline.dcc.ac.uk
|
Manchester Data Management Outline
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Will this project use innovative technologies to collect or process data?
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Models developed in the course of research
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d248ec5c2ec014c3ace002b310b11a15
|
dmponline.dcc.ac.uk
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Manchester Data Management Outline
|
Who will act as the data custodian for this study, and so be responsible for the information involved?
|
Dmitry Nikolaev
|
d248ec5c2ec014c3ace002b310b11a15
|
dmponline.dcc.ac.uk
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Administration & Project Description
|
Funding body (if applicable)
|
Netherlands Commission on Genetic Modification (COGEM)
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4413de4d5db9f56e4147e3baadcbf5f5
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dmponline.dcc.ac.uk
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Administration & Project Description
|
Grant number (if applicable)
|
CGM/240530-01
|
4413de4d5db9f56e4147e3baadcbf5f5
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dmponline.dcc.ac.uk
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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 (!)
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Name Email ORCID Research Institution 1 Willem-Jan Kortleven [email protected] 0009-0001-8515-9517 Erasmus University Rotterdam 2 Lonneke Poort [email protected] 0000-0002-0426-106X Erasmus University Rotterdam 3 Evert Stamhuis [email protected] 0000-0001-5306-4997 Erasmus University Rotterdam 4 5 6 7 8 9 10
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4413de4d5db9f56e4147e3baadcbf5f5
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dmponline.dcc.ac.uk
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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
|
Literature research and case studies. The latter will consist partly of semi-structured interviews with stakeholders, e.g. policy officers, scientists, scientific advisers, representatives of biotechcompanies, representatives of environmental and civil society organisations. Interviews will be conducted live or through MS Teams and will be recorded (using an audio recorder in case of live interviews) and transcribed verbatim. Transcription will be carried out manually. The interview data will be analysed using Atlas.ti.
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4413de4d5db9f56e4147e3baadcbf5f5
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dmponline.dcc.ac.uk
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Administration & Project Description
|
Specify the (financial and time) resources needed for data management in this project
|
58 hours (7.884 euros ex VAT) have been reserved for conducting the interviews and 25 hours (1325 euros ex VAT) have been reserved for transcribing interviews by a student assistant. Data storage has not been budgeted, as the data volume is not expected to exceed the limits of available storage space.
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4413de4d5db9f56e4147e3baadcbf5f5
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dmponline.dcc.ac.uk
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Preparation: Legal Arrangements and Policy
|
List the agreements that
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you will initiate and with whom will you make them. Who Type of agreement COGEM Agreement for the provision of services Interviewees Informed consent
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4413de4d5db9f56e4147e3baadcbf5f5
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dmponline.dcc.ac.uk
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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 RDM policy of Erasmus University Rotterdam (EUR Version 1.0
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4413de4d5db9f56e4147e3baadcbf5f5
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dmponline.dcc.ac.uk
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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 interviews .mp3, .mp4, .WMA 1-3 GB Yes No Confidential Interview transcripts .docx <1GB Yes No Confidential Public documents .pdf <1GB No Yes Public
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4413de4d5db9f56e4147e3baadcbf5f5
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dmponline.dcc.ac.uk
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Research Publication: Data sharing and re-use
|
Please specify why you are unable to share (all) data (and code)
|
Interviews will be conducted under the condition of confidentiality, otherwise we expect to have difficulty finding respondents willing to participate and/or speak freely as part of the issues we will talk about might be sensitive. Given the purposive selection of respondents because of their role and expertise, such as policy officers and scientists with specific expertise, representatives of biotech companies and representatives of environmental organisations and patients' associations, merely anonymizing transcripts would be insufficient to protect confidentality, since these transcripts could easily be traced back to specific people. Therefore, we can not go further than releasing selected quotations from the transcripts in the research report (and other publications based on these data), as far as respondents agree with the use of quotes.
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4413de4d5db9f56e4147e3baadcbf5f5
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dmponline.dcc.ac.uk
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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)
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Data Format Size Interview topic list .pdf <1 GB Codebook .pdf <1 GB
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4413de4d5db9f56e4147e3baadcbf5f5
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dmponline.dcc.ac.uk
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Research Publication: Data sharing and re-use
|
Will you place any restrictions on re-using of data?
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Interview data (transcripts and audio) will not be made available for re-use; see the explanation given in response to question 21. Metadata and research materials such as project description and interview topic lists will be made available.
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4413de4d5db9f56e4147e3baadcbf5f5
|
dmponline.dcc.ac.uk
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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:
|
In principle, these data may only be re-used by members of the research team.
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4413de4d5db9f56e4147e3baadcbf5f5
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dmponline.dcc.ac.uk
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Research Publication: Data sharing and re-use
|
Please specify which license
|
Research materials may be re-used under CC BY-NC-ND 4.0 license
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4413de4d5db9f56e4147e3baadcbf5f5
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dmponline.dcc.ac.uk
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After research: Archiving
|
List the data and all documentation you will be archiving. These data constitute your archival package.
|
Format Size Topic lists .docx <1 GB Informed consent forms (signed) .docx, .pdf <1 GB Informed consent form (blank copy) .pdf <1 GB Audio-recorded interviews .mp3 1-3 GB Interview transcripts .docx <1 GB Contract, project description .pdf <1 GB Data Management Plan .pdf <1 GB Ethical review application & approval document .pdf <1 GB Codebook .xlsx, .pdf <1 GB COGEM Agreement for the provision of services .pdf <1 GB Project description .pdf <1 GB Data management plan .pdf <1 GB Ethical review application & approval document .pdf <1 GB
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4413de4d5db9f56e4147e3baadcbf5f5
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dmponline.dcc.ac.uk
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After research: Archiving
|
Please list the name of the archive and link to the archive
|
Name of archive Retention period Link to the archive EUR SURF Yoda 10 years https://erasmus-yoda.irods.surfsara.nl/
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4413de4d5db9f56e4147e3baadcbf5f5
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dmponline.dcc.ac.uk
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0. Administrative questions
|
Name of data management support staff consulted during the preparation of this plan.
|
My data steward is Bjørn Peare Bartholdy
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741094594ff228c400f94f47583d21bb
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dmponline.dcc.ac.uk
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IV. Legal and ethical requirements, codes of conduct
|
Please list the categories of data subjects
|
Data subjects are professional knappers hired through professional networks.
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741094594ff228c400f94f47583d21bb
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dmponline.dcc.ac.uk
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IV. Legal and ethical requirements, codes of conduct
|
Please contact the privacy team (
|
[email protected] ) for advice on data transfer. Please also bring your draft DMP when contacting the privacy team. Please record below their advice, the data transfer mechanism used and agreed security measures: Question not answered.
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741094594ff228c400f94f47583d21bb
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dmponline.dcc.ac.uk
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IV. Legal and ethical requirements, codes of conduct
|
Please describe the informed consent procedure you will follow:
|
All participants will be asked for their written consent for taking part in the study and for data processing before the start of the experiments.
|
741094594ff228c400f94f47583d21bb
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dmponline.dcc.ac.uk
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IV. Legal and ethical requirements, codes of conduct
|
Does the processing of the personal data result in a high risk to the data subjects?
|
If the processing of the personal data results in a high risk to the data subjects, it is required to perform a Data Protection Impact Assessment (DPIA). In order to determine if there is a high risk for the data subjects, please check if any of the options below that are applicable to the processing of the personal data during your research (check all that apply).
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741094594ff228c400f94f47583d21bb
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dmponline.dcc.ac.uk
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VI. Data management responsibilities and resources
|
Is TU Delft the lead institution for this project?
|
STICHTING RADBOUD UNIVERSITEIT The Netherlands, partner - collaboration in experiments
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741094594ff228c400f94f47583d21bb
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dmponline.dcc.ac.uk
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VI. Data management responsibilities and resources
|
If you leave TU Delft (or are unavailable), who is going to be responsible for the data resulting from this project?
|
Geeske Langejans, the project PI will be be responsible for the data resulting from this project. Email: [email protected]
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741094594ff228c400f94f47583d21bb
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dmponline.dcc.ac.uk
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VI. Data management responsibilities and resources
|
What resources (for example financial and time) will be dedicated to data management and ensuring that data willbe FAIR (Findable, Accessible, Interoperable, Re-usable)?
|
We do not expect to exceed the free 4TU.ResearchData range and therefore there are no additional costs of long term preservation.
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741094594ff228c400f94f47583d21bb
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dmponline.dcc.ac.uk
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Administrative Information
|
Project funder or sponsor.
|
Principal’s office
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014a4922b562416dd980c0b86f96013d
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dmponline.dcc.ac.uk
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Documentation & Metadata
|
Documentation & Metadata
|
Researchers will draft a README OpenDocument Text file describing the research data files: file names; what they contain; how they are related; how they were created (e.g. data collection, analysis software, file format); how they should be used. For encrypted data and files, a separate and encrypted file will be created and shared only with the Principal Investigators. Questionnaire data will be named consistently using running head that records: - questionnaire title - Date/Month/2024 of extracting the data from Qualtrics - whether the data is raw or cleaned - number of versions (e.g., RacialClimate_3Jun2024_cleaned) Each excel file will be accompanied by metadata that describes: 1) whether the data is raw or cleaned, and the method of cleaning the data 2) status of anonymisation, and what has been anonymised or removed 3) filed codes 4) labels/symbols 5) abbreviations and so on 6) creator, or the person collecting the data 7) date and location of which the data is collected 8) access right Analysed data will be stored and named using running head that records: - questionnaire title - statistical analysis - date of performing the analysis (e.g., RacialClimate_ANOVA_06.06.2024) Analysed data will be stored in SPSS Statistics Output Document format. A brief description of how the analysis is performed will be included.
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014a4922b562416dd980c0b86f96013d
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dmponline.dcc.ac.uk
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Ethics & Legal Compliance
|
Ethics & Legal Compliance
|
Participants’ questionnaire responses and demographic information will be collected and stored anonymously and securely in DataStore. Participants will be assigned a unique participant number at the time of signing the Consent Form. This unique participant number will be used to name and store the participant's data. Should participants wish to withdraw from the study later on, they will present the researcher with this unique participant number and the associated data will be erased permanently. Our research team has sought data protection impact assessment, and was approved. Data processing (i.e., storing the data, analysing the data, and so on) will be implemented on a desktop that is allocated to the researcher within the University's premises, or the researcher's personal laptop, with secure and encrypted log-in. Indirectly identifiable data is only collected for research purpose. This includes the necessary demographic categories such as race/ethnic groups, religion, nationality, gender categories, the participant's capacity in relation to the university (i.e., student vs staff members), school/department, time spent in the university, highest qualification obtained, average academic achievement (for student participants only), contract type and pay range (for staff only). Identifiable data will only be accessed by the main researcher, Dr Yarong Xie, and the principal investigators, Professor Tommy Curry and Dr Nicola Frith.
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014a4922b562416dd980c0b86f96013d
|
dmponline.dcc.ac.uk
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Storage and Back-Up
|
Where will your data be stored and backed-up during the project?
|
Participants’ questionnaire responses will be stored anonymously and securely on the University's encrypted storage space, DataStore, during the data collection period. DataStore provides enterprise-class storage with guaranteed backup and resilience. Data is retained on DataStore until deletion by the data owner. The backups provide resilience in the case of accidental deletion and against incidents affecting the main DataStore storage. The data are automatically replicated to an off-site disaster recovery facility, with 10 days of file history visible online.
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014a4922b562416dd980c0b86f96013d
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dmponline.dcc.ac.uk
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Selection and Preservation
|
Where will the data be stored long-term?
|
Anonymised questionnaire responses, in the format of exl. will be deposited in DataShare for long-term preservation and re-use. Edinburgh DataShare is a digital repository of research data produced at the University of Edinburgh, hosted by the Research Data Service in Information Services. Edinburgh DataShare acts as a trusted repository for research data. Data will be discoverable and accessible for others to use beyond the life of our research project. A permanent identifier can be recorded to ensure persistent access. Once deposited, management of your data is assured by Research Data Service staff. Metadata, analysed data (in the format of sav. or pdf.) will be stored alongside the questionnaire responses.
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014a4922b562416dd980c0b86f96013d
|
dmponline.dcc.ac.uk
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Selection and Preservation
|
Which data will be retained long-term?
|
Anonymised questionnaire responses (in the format of exl.), metadata, and analysed data (in the format of sav. or pdf.) will be retained long-term.
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014a4922b562416dd980c0b86f96013d
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dmponline.dcc.ac.uk
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Data Sharing
|
Please explain why your data cannot be made open.
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Participants' personal information, especially special categories (i.e., race, ethnicity, gender, nationality, and religion), will be collected, and used for data analysis. However, analysed data will be made open and accessible in a Report and possible research publications.
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014a4922b562416dd980c0b86f96013d
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dmponline.dcc.ac.uk
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Responsibilities & Resources
|
Who will be responsible for the research data management of this project?
|
The primary responsibility for study-wide data management lies with the co-PIs (Professor Tommy Curry and Dr Nicola Frith), during and beyond the completion of this project. During data collection and data analysis (2022-2024), the researcher Dr Yarong Xie will be responsible for the data management.
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014a4922b562416dd980c0b86f96013d
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dmponline.dcc.ac.uk
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Responsibilities & Resources
|
Will you require any training or resources to properly manage your research data throughout this project?
|
This study is part of a decolonisation and reparatory justice project looking at issues of race, contemporary racism, Eurocentric and Afriphobic aspects of our curriculum and features of the University’s historical links to slavery and colonialism. The Equality Report will be submitted to the Steering Group and Executive via theEquality, Diversity and Inclusion Committee (EDIC). It will be made publicly available.
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014a4922b562416dd980c0b86f96013d
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dmponline.dcc.ac.uk
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Data Collection
|
What data will you collect or create?
|
This study will collect quantitative data through an online survey. Participants must be above 18 and be familiar with big data and online fraud detection. The survey will gather data which include, Screening questions, Utilization of Big Data, effitiveness of big data, challenges in detecting online fraud, and improvement for detecting online fraud. Established scales adapted for this study will be used.
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3b1aeafe08d7c6852e2eb206b96d0fce
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dmponline.dcc.ac.uk
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Data Collection
|
How will the data be collected or created?
|
JISC online survey will be use to collect data
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3b1aeafe08d7c6852e2eb206b96d0fce
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dmponline.dcc.ac.uk
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Documentation and Metadata
|
What documentation and metadata will accompany the data?
|
Data will be collected from participants pertinent to the research. Data collected from survey will be confidential and also be anonymous. Only the principal investigator can access the participate details. Researchers can have access to responses which is stored with an identifying number known only by the investigator. Data collected from this survey will be stored in the University of Plymouth OneDrive.
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3b1aeafe08d7c6852e2eb206b96d0fce
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dmponline.dcc.ac.uk
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Ethics and Legal Compliance
|
How will you manage any ethical issues?
|
Managing ethical issues, before participate take the survey they will read a consent form and confirm it before they can participate. Data from participate will be anonymous and will be confidential. Participate will be informed of their right to withdraw from survey at any time. Ethical approval have been obtained for this research and duly signed by the principal investigator and research supervisor.
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3b1aeafe08d7c6852e2eb206b96d0fce
|
dmponline.dcc.ac.uk
|
Ethics and Legal Compliance
|
How will you manage copyright and Intellectual Property Rights (IPR) issues?
|
To manage copyright and intellectual property right, everything created must be original and if any other materials are used it must be duly and properly credited by the principal investigator. Findings and Data will belong to the principal investigator and the institution.
|
3b1aeafe08d7c6852e2eb206b96d0fce
|
dmponline.dcc.ac.uk
|
Storage and Backup
|
How will the data be stored and backed up during the research?
|
All data will be stored on Jisc or the University of Plymouth OneDrive (cloud-base encrypted files)
|
3b1aeafe08d7c6852e2eb206b96d0fce
|
dmponline.dcc.ac.uk
|
Storage and Backup
|
How will you manage access and security?
|
Only the Principal investigator will have access to the raw data
|
3b1aeafe08d7c6852e2eb206b96d0fce
|
dmponline.dcc.ac.uk
|
Selection and Preservation
|
Which data are of long-term value and should be retained, shared, and/or preserved?
|
Data collected will only be kept for the duration of the study and will be deleted from OneDrive when the analysis and write-up have been completed. It might be in published works and posted online for other researchers.
|
3b1aeafe08d7c6852e2eb206b96d0fce
|
dmponline.dcc.ac.uk
|
Selection and Preservation
|
What is the long-term preservation plan for the dataset?
|
The Data will be available and stored for ten years as per the University of Plymouth policy and then will be destroyed.
|
3b1aeafe08d7c6852e2eb206b96d0fce
|
dmponline.dcc.ac.uk
|
Data Sharing
|
How will you share the data?
|
Data will only be shared with the research supervisor. Analyzed data will be shared on reports and publication.
|
3b1aeafe08d7c6852e2eb206b96d0fce
|
dmponline.dcc.ac.uk
|
Responsibilities and Resources
|
Who will be responsible for data management?
|
The principal investigator and research supervisor
|
3b1aeafe08d7c6852e2eb206b96d0fce
|
dmponline.dcc.ac.uk
|
Responsibilities and Resources
|
What resources will you require to deliver your plan?
|
JISC online survey University of Plymouth Onedrive
|
3b1aeafe08d7c6852e2eb206b96d0fce
|
dmponline.dcc.ac.uk
|
Data Collection
|
What data will you collect or create?
|
Survey data from 400 participants on their perceptions of sustainable packaging.
|
1dfd6b8296c81ec17a9b761ead67f363
|
dmponline.dcc.ac.uk
|
Data Collection
|
How will the data be collected or created?
|
Data will be collected via an online survey, targeting UK consumers who have purchased from selected companies.
|
1dfd6b8296c81ec17a9b761ead67f363
|
dmponline.dcc.ac.uk
|
Documentation and Metadata
|
What documentation and metadata will accompany the data?
|
Data will be accompanied by participant demographics and the survey structure, ensuring clarity and reusability.
|
1dfd6b8296c81ec17a9b761ead67f363
|
dmponline.dcc.ac.uk
|
Ethics and Legal Compliance
|
How will you manage any ethical issues?
|
Informed consent will be obtained, and data will be anonymized and securely stored to protect participants' privacy.
|
1dfd6b8296c81ec17a9b761ead67f363
|
dmponline.dcc.ac.uk
|
Ethics and Legal Compliance
|
How will you manage copyright and Intellectual Property Rights (IPR) issues?
|
I will retain copyright, and data will be used only for academic purposes with no third-party sharing without consent.
|
1dfd6b8296c81ec17a9b761ead67f363
|
dmponline.dcc.ac.uk
|
Storage and Backup
|
How will the data be stored and backed up during the research?
|
Data will be stored on encrypted drives with regular backups to a secure cloud service.
|
1dfd6b8296c81ec17a9b761ead67f363
|
dmponline.dcc.ac.uk
|
Storage and Backup
|
How will you manage access and security?
|
Only the research team will have access to the data, protected by password and encryption.
|
1dfd6b8296c81ec17a9b761ead67f363
|
dmponline.dcc.ac.uk
|
Selection and Preservation
|
Which data are of long-term value and should be retained, shared, and/or preserved?
|
The anonymized survey data may be of long-term value and should be preserved for future academic research
|
1dfd6b8296c81ec17a9b761ead67f363
|
dmponline.dcc.ac.uk
|
Selection and Preservation
|
What is the long-term preservation plan for the dataset?
|
The dataset will be stored in the university’s secure repository for a minimum of 5 years, following their data management policies.
|
1dfd6b8296c81ec17a9b761ead67f363
|
dmponline.dcc.ac.uk
|
Data Sharing
|
How will you share the data?
|
Data may be shared upon request, subject to university guidelines, and only in an anonymized form.
|
1dfd6b8296c81ec17a9b761ead67f363
|
dmponline.dcc.ac.uk
|
Data Sharing
|
Are any restrictions on data sharing required?
|
Yes, data sharing will be restricted to academic use, and participant confidentiality must be ensured.
|
1dfd6b8296c81ec17a9b761ead67f363
|
dmponline.dcc.ac.uk
|
Data Collection
|
What data will you collect or create?
|
Consumer responses from an online survey related to their awareness, trust, and perceptions of data privacy.
|
3356172ab8dea9229bdd21d885855944
|
dmponline.dcc.ac.uk
|
Data Collection
|
How will the data be collected or created?
|
Data will be collected through an online questionnaire administered to UK beverage industry consumers.
|
3356172ab8dea9229bdd21d885855944
|
dmponline.dcc.ac.uk
|
Documentation and Metadata
|
What documentation and metadata will accompany the data?
|
Survey responses will include respondent age, gender, and data privacy-related behavior. Metadata will include timestamps, location, and completion rates of the survey.
|
3356172ab8dea9229bdd21d885855944
|
dmponline.dcc.ac.uk
|
Ethics and Legal Compliance
|
How will you manage any ethical issues?
|
Anonymization of all data, secure storage, and participant confidentiality will be maintained.
|
3356172ab8dea9229bdd21d885855944
|
dmponline.dcc.ac.uk
|
Ethics and Legal Compliance
|
How will you manage copyright and Intellectual Property Rights (IPR) issues?
|
All data will be original, and appropriate licenses for third-party sources will be ensured if required.
|
3356172ab8dea9229bdd21d885855944
|
dmponline.dcc.ac.uk
|
Storage and Backup
|
How will the data be stored and backed up during the research?
|
Data will be stored in encrypted, cloud-based systems, and regularly backed up on external drives.
|
3356172ab8dea9229bdd21d885855944
|
dmponline.dcc.ac.uk
|
Storage and Backup
|
How will you manage access and security?
|
Access will be limited to the research team, with all data encrypted and protected by secure passwords.
|
3356172ab8dea9229bdd21d885855944
|
dmponline.dcc.ac.uk
|
Selection and Preservation
|
Which data are of long-term value and should be retained, shared, and/or preserved?
|
Aggregated survey results and anonymized data that contribute to academic knowledge may be preserved and shared.
|
3356172ab8dea9229bdd21d885855944
|
dmponline.dcc.ac.uk
|
Selection and Preservation
|
What is the long-term preservation plan for the dataset?
|
Anonymized data will be archived in the University of Plymouth’s research repository for future academic use.
|
3356172ab8dea9229bdd21d885855944
|
dmponline.dcc.ac.uk
|
Data Sharing
|
How will you share the data?
|
Data will be shared in anonymized form through academic journals, conferences, and research repositories.
|
3356172ab8dea9229bdd21d885855944
|
dmponline.dcc.ac.uk
|
Data Sharing
|
Are any restrictions on data sharing required?
|
Data sharing will be limited to anonymized information to protect participant privacy. No identifiable data will be shared.
|
3356172ab8dea9229bdd21d885855944
|
dmponline.dcc.ac.uk
|
Standards and metadata
|
Outline the standards and methodologies that will be adopted for data collection and management, and why thesehave been selected
|
2. Data management, documentation, and curation 2.1 Managing, storing and curating data. Backup Data will be stored on University of Plymouth SharePoint site, as this requires a UoP username login and allows the staff to share files securely and set accessibility for team members appropriately. Further back-ups will also be made using encrypted external hard drive equipment. Additionally, external software host might be used for datasets, such as ‘GitHub’ (who specialize in source code management as well as some types of data like large files) The University of Plymouth is the data controller - data will be held within a dedicated cFISSHI ‘Sharepoint’ team site shared between research team members with secured shared drive permissions enabling file sharing. Any analogue field notes will be digitised and stored within the same SharePoint site, and destroyed as soon as digitisation is safely implemented. These all meet UoP GDPR and IT policies for safe storage. 2.2 Metadata standards and data documentation A copy of the relevant study method for each activity will be stored with its data. For the repository, collated data will be stored with their metadata. Other (survey, mapping and qualitative) data will be stored along with any coding framework devised as part of the analysis processes. Identifiers will be included where relevant, eg socio-demographic characteristics of the participants, including age, occupation, housing tenure, relationship status, income, etc 2.3 Data preservation strategy and standards At project end, we will appraise data to check what we will retain, at this point, some data may be destroyed. Otherwise, any raw data will be retained for 10 years in line with UoP data protection policies. The data will be stored and shared between research team members on the University of Plymouth Sharepoint site. Any data transferred between parties will be sent through an encrypted transfer system. Data will also be stored on a password protected encrypted external hard drive.. University of Plymouth staff can deposit full text of research outputs on PEARL research repository. For CESA data repository, a fully documented archive of all data will be collated, aggregated and attributed to small areas. A Digital Object Identifier (DOI) will be used to provide a persistent identifier to this evolving data resource. We will ensure (with the funder) that the repository meets their requirements (we do not feel additional facilities are required, other than those already mentioned, for data preservation purposes. We will maintain a project website (hosted by Plymouth University’s Centre for Coastal Communities) to provide links to and widen knowledge of dataset as it develops. Some of this data might also be stored externally (eg GitHub) as required The UoP’s Technical Information Security (TIS) program has several procedures to ensure compliance with information security and regulations including clear Information Governance and IT information policies to guide processes. The cFISSHI study views outputs ‘in the public interest’ and will comply with the Data Protection Act (Great Britain. GDPR Protection Act 2018) and Freedom of Information Quality assurance with respect to existing datasets will focus on testing for internal consistency and carefully interrogating all metadata and associated documentation. If doubts exist regarding their provenance or reliability, data will not be used on our repository. Qualitative data will be closely monitored. We will follow strict measures eg transcription conventions, reflexivity; and actively seeking out novel approaches to ensure analyses fit with ‘co-production’ approaches. Credibility, dependability, transferability and confirmability will ensure a robust and standardised approach. Training for relevant research team members will be essential as will clear communication, version control and documentation.
|
2bec66c906f9998b9bed915d494f7bdf
|
dmponline.dcc.ac.uk
|
Relationship to other data
|
State the relationship to other data available in public repositories
|
Our data utilises similar (secondary) data sources that may be available in other available repositories. But our emphasis on UK Coastal communities makes ours unique. FAIR principles are considered for our repository (Findable, Accessible, Interoperable and Re-usable) for our data.
|
2bec66c906f9998b9bed915d494f7bdf
|
dmponline.dcc.ac.uk
|
Secondary Use
|
Outline the further intended and/or foreseeable research uses for the completed dataset(s)
|
We anticipate the repository will be used extensively across UK coastal communities for knowledge exchange around dietary health inequalities and blue food system. All legal, ethical and data management considerations are accounted for to ensure protection of data in line with funders guidelines, and GDPR policies
|
2bec66c906f9998b9bed915d494f7bdf
|
dmponline.dcc.ac.uk
|
Proprietary data
|
Outline any restrictions on data sharing due to the need to protect proprietary or patentable data
|
We do not anticipate any delays or restrictions to sharing our data
|
2bec66c906f9998b9bed915d494f7bdf
|
dmponline.dcc.ac.uk
|
Timeframes
|
State the timescales for public release of data
|
Data will be released as soon as possible during the project progress, no later than publication, in accordance with relevant guidelines . We will deposit the data/pre-register the doi with the repository alongside a clear transparent data availability statement that points to the dataset (or where it will be upon publication). We will also ensure a sound data storage and preservation strategy to ensure longevity of the data. This will include good practice approaches (for our repository) to deposit code in a host repository (e.g. GitHub that specializes in source code management as well as some types of data like large files)
|
2bec66c906f9998b9bed915d494f7bdf
|
dmponline.dcc.ac.uk
|
Formats
|
State the format of the final dataset
|
Format and scale of the data Quantitative data: existing and new secondary data will be saved in Comma-separated values (.csv) format to maximise re-usability and accompanied by all relevant citations and metadata. Survey data - will be stored in Microsoft Excel (.xlsx) format and transferred to SPSS for analyses as required. We expect large volumes of data. Qualitative data will be transcribed and inputted into suitable software package for analysis (eg NVivo). These will be stored as NVivo files (.nvp files). Other qualitative data (e.g. observational) will be stored as Microsoft Word documents (.docx) Immersive tech data: 3D modelling, simulation data will be stored on UoP server (Immersive Media IMM or Immersive Technology Media format ITMF). Due to its likely volume we are likely to need to seek larger space on the UoP server to store this.
|
2bec66c906f9998b9bed915d494f7bdf
|
dmponline.dcc.ac.uk
|
Data Collection
|
What data will you collect or create?
|
This study will collect and create quantitative data related to the influence of electronic word-of-mouth (eWOM) on customer loyalty in the UK fashion retail industry.
|
251470c8645370141bbec83339d6031f
|
dmponline.dcc.ac.uk
|
Data Collection
|
How will the data be collected or created?
|
The data for this study will be collected through structured online questionnaires distributed to respondents within the UK fashion retail industry.
|
251470c8645370141bbec83339d6031f
|
dmponline.dcc.ac.uk
|
Documentation and Metadata
|
What documentation and metadata will accompany the data?
|
A copy of the original questionnaire used to collect data will be included. This ensures that anyone reviewing or using the dataset can understand the context of the questions and how the data was originally gathered.
|
251470c8645370141bbec83339d6031f
|
dmponline.dcc.ac.uk
|
Storage and Backup
|
How will the data be stored and backed up during the research?
|
Data will be primarily stored on encrypted, password-protected devices such as a personal computer or laptop. These devices will be equipped with the latest security features to prevent unauthorized access.
|
251470c8645370141bbec83339d6031f
|
dmponline.dcc.ac.uk
|
Storage and Backup
|
How will you manage access and security?
|
Only the researcher and authorized personnel (if applicable) will have access to the data. Strong passwords will be used, and multi- factor authentication (MFA) will be enabled where possible.
|
251470c8645370141bbec83339d6031f
|
dmponline.dcc.ac.uk
|
Selection and Preservation
|
What is the long-term preservation plan for the dataset?
|
The statistical results (e.g., correlations, regression models, descriptive statistics) derived from the data analysis have long-term academic value, as they provide concrete evidence of the relationship between eWOM and customer loyalty. These findings, including statistical models and visualizations (e.g., graphs, tables), should be retained and possibly shared in published reports or articles. While raw data is useful for replication or further analysis, the insights gained from statistical analyses are also valuable for the academic and business communities.
|
251470c8645370141bbec83339d6031f
|
dmponline.dcc.ac.uk
|
Data Sharing
|
How will you share the data?
|
Data will be shared securely upon approval by the University ethics board.
|
251470c8645370141bbec83339d6031f
|
dmponline.dcc.ac.uk
|
Responsibilities and Resources
|
Who will be responsible for data management?
|
The supervisor
|
251470c8645370141bbec83339d6031f
|
dmponline.dcc.ac.uk
|
Responsibilities and Resources
|
What resources will you require to deliver your plan?
|
None that i do not have access to as of now
|
251470c8645370141bbec83339d6031f
|
dmponline.dcc.ac.uk
|
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