Research Data Management: Why is it important?
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The document outlines the importance of research data management (RDM), highlighting that it involves organizing, storing, and sharing data generated during research projects. It emphasizes the necessity of complying with funder requirements for data availability, security, and management plans, as well as providing support and tools available at the University of Edinburgh for researchers. Additionally, the document provides resources for training and assistance in RDM practices.
Research Data Management: Why is it important?
- 1. Research Data Management: Why is it important? Stuart Macdonald Associate Data Librarian EDINA & Data Library Stuart.macdonald@ed.ac.uk
- 2. Outline • Research data • Research Data Management (RDM) • Funding bodies’ requirements • University of Edinburgh RDM Policy • RDM Services & support at the University
- 3. Defining research data and Research Data Management (RDM)
- 5. Research Data Management (RDM) • Data management is a general term covering how you organise, structure, store, and care for the data used or generated during the lifetime of a research project. • It includes: – How you deal with data on a day-to-day basis over the lifetime of a project, – What happens to data after the project concludes. • RDM is considered an essential part of good research practice. • Good research needs good data!
- 6. Activities involved in RDM Type, format, volume of data, chosen software for long- term access, secondary data, file naming, versioning, quality assurance process. Information needed for the data to be read and interpreted in future, metadata standards, methodology, definition of variables, format & file type of data. Access restrictions, data security risks, appropriate methods to transfer / share data, encryption. Secure & sufficient storage for active data, regular backups, disaster recovery Make data publicly available (where possible) at the end of a project, license data, any restrictions on sharing, access controls? Select data to keep, decide how long data will be kept, in which repository, costs involved in long- term storage? Data Management Planning Day-to-daymanagementofdata
- 7. Why manage your data? • So you can find and understand it when needed. • To avoid unnecessary duplication. • To validate results if required. • So your research is visible and has impact. • To get credit when others cite your work. • To avoid data loss!
- 8. Drivers of RDM “Publicly funded research data are a public good, produced in the public interest, which should be made openly available with as few restrictions as possible in a timely and responsible manner that does not harm intellectual property.” RCUK Common Principles on Data Policy http://www.rcuk.ac.uk/research/datapolicy/
- 9. Funder requirements • Funders are increasingly requiring researchers to meet certain data management criteria. • When applying for funding, you need to submit a technical or data management plan. • You are expected to make your data publicly available (where appropriate) at the end of your project.
- 10. What do Funders want? http://www.dcc.ac.uk/resources/policy-and-legal/overview-funders-data-policies
- 11. EPSRC Expects that: • published research papers should include a short statement, describing how and on what terms any supporting research data may be accessed, • metadata on the research data they hold will be published by institutions within 12 months of data generation, • data will be securely preserved for a minimum of 10 years from the date of last 3rd party access. • https://www.epsrc.ac.uk/about/standards/researchdata/expectations/ https://www.epsrc.ac.uk/files/aboutus/standards/clarificationsofexpectationsresearchdatamanagement/
- 12. EPSRC Policy Framework on Research Data http://www.epsrc.ac.uk/about/standards/researchdata/impact/
- 13. ESRC Research Data Policy • The ESRC updated its Research Data Policy* in March 2015. The updated policy is underpinned by nine new principles, which are aligned with the RCUK Common Principles on Data Policy. • ESRC applicants who plan to generate data from their research must submit a data management and sharing plan as part of their application. • The new ESRC Research Data Policy is not compulsory for postgraduate students**. However, ESRC-funded students are strongly encouraged to offer the UK Data Services copies of data created or repurposed during their PhD. * http://www.esrc.ac.uk/about-esrc/information/data-policy.aspx ** http://www.esrc.ac.uk/funding-and-guidance/postgraduates/esrc-students/index.aspx
- 14. RCUK Concordat Research Councils UK (RCUK) published a draft Concordat on Open Research Data (17 August 2015): • Sets out expectations of good practice in publishing research data openly • Lists 10 principles on working with research data. • Applies to all fields of research. • Emphasises responsibilities and accountabilities (institution, researcher, funder) • Recognises the autonomy of researchers. • Complements existing frameworks.
- 15. University of Edinburgh’s requirement 1. Research data will be managed to the highest standards throughout the research data lifecycle as part of the University’s commitment to research excellence. 2. All new research proposals must include research data management plans… 7. Research data management plans must ensure that research data are available for access and re-use where appropriate… http://www.ed.ac.uk/schools-departments/information-services/about/policies-and-regulations/research-data-policy
- 16. RDM Services & support at the University of Edinburgh
- 17. DMPonline Free and open web-based tool to help researchers write plans: https://dmponline.dcc.ac.uk/ • Templates based on different requirements • Tailored guidance (disciplinary, funder etc.) • Customised exports to a variety of formats • Ability to share DMPs with others Edinburgh has started the process of customising DMPonline for its researchers. DMPonline screencast: http://www.screenr.com/PJHN
- 18. Supporting researchers with DMPs Various types of support we will provide: • Guidelines and templates on what to include in plans. • A library of successful DMPs to reuse. • Training courses and guidance websites. • Tailored consultancy services. • Online tools (e.g. customised DMPonline). • Contact: IS.Helpline@ed.ac.uk
- 19. DataStore The facility to store data that are actively used in current research activities. 0.5 TB (500GB) per researcher, PGR upwards Up to 0.25TB of each allocation can be used to create “shared” group storage. Cost of extra storage: £200 per TB per year= 1TB primary storage, 10 days online file history, 60 days backup, DR copy.
- 20. Accessing DataStore • Allocation will be provided as a mapped drive (M: U: etc.) on staff desktops • Connect via “Run” or “Explorer” on Windows, or • “connect to server” on Mac/Linux* • Off-site access – VPN first, or use “SFTP” • NFS available for fixed-location Linux desktops Documentation links: http://www.ed.ac.uk/schools-departments/information-services/computing/desktop-personal/network-shares/accessing-datastore-net- shares-win http://www.ed.ac.uk/schools-departments/information-services/computing/desktop-personal/network-shares/accessing-datastore-net- shares-mac
- 21. • 'Dropbox-like’ file-hosting service for non-sensitive data: ww.ed.ac.uk/is/datasync • Allows sharing and synchronisation of data. • Share using local clients or web URL with colleagues anywhere. • 20GB free storage or map to personal / group data on DataStore as required. • Using the ownCloud open source application.
- 22. Data Vault Safe, private, store of data that is only accessible by the data creator or their representative. Secure storage: • File security • Storage security • Additional security • Encryption Being developed as a joint project with the University of Manchester and partly funded by JISC. Full version will be in place in 2016. http://datablog.is.ed.ac.uk/2013/12/20/thinking-about-a-data- vault
- 23. PURE: Describing your data • You can describe your datasets (creating metadata) in PURE (datasets field): http://edin.ac/1OF8Auq • Doing this will help your datasets to be discovered, accessed, and reused as appropriate. • Ready to use.
- 24. Edinburgh DataShare • Edinburgh DataShare is the University’s OA multi-disciplinary data repository hosted by the Data Library : http://datashare.is.ed.ac.uk • Assists researchers who want to: • share their data, • get credit for data publication • preserve their data for the long-term (DOI, licence, citation) • It can help researchers comply with funder requirements to preserve and share their data and complies with Edinburgh’s RDM Policy http://datashare.is.ed.ac.uk
- 25. RDM Support • Introductory sessions on RDM: contactis.helpline@ed.ac.uk IS.Helpline@ed.ac.uk for a session for your School or subject group. • RDM website: http://www.ed.ac.uk/is/data- management • RDM blog: http://datablog.is.ed.ac.uk • RDM wiki: https://www.wiki.ed.ac.uk/display/RDM/R esearch+Data+Management+Wiki • Training sessions and workshops: http://www.ed.ac.uk/schools- departments/information-services/research- support/data-management/rdm-training http://www.ed.ac.uk/is/data-management
- 26. MANTRA • MANTRA is an internationally recognized self-paced online training course developed by the Data Library Team for PGR’s and early career researchers in data management issues. • Anyone doing a research project will benefit from at least some part of the training (and you can pick and choose). • Data handling exercises with open datasets in 4 analytical packages: R, SPSS, NVivo, ArcGIS. http://datalib.edina.ac.uk/mantra
- 28. Useful links • RDM website http://www.ed.ac.uk/is/data-management • Research Code of Practice and related guidelines http://www.ed.ac.uk/schools-departments/institute-academic-development/research- roles/research-only-staff/advice/codes/research-code • DCC (Digital Curation Centre). Data management plans http://www.dcc.ac.uk/resources/data-management-plans • UK Data Archive: Data management costing tool http://www.data-archive.ac.uk/media/247429/costingtool.pdf • UK Data Archive: Ethical/Legal http://www.data-archive.ac.uk/create-manage/consent-ethics/legal • UK Data Archive: Formatting your data http://www.data-archive.ac.uk/create-manage/format
Editor's Notes
- #5: Instrument measurements, Experimental observations, Still images, video and audio, Text documents, spreadsheets, databases Quantitative data (e.g. household survey data), Survey results & interview transcripts’, Simulation data, models & software, Slides, artefacts, specimens, samples, Sketches, diaries, lab notebooks,
- #15: Follows on from the RCUK Common Principles on Data Policy (2011 – revised Apr. 2015) – publicly-funded research data are a public good, produced in the public interest, should be made openly available with as few restrictions as possible, data should be discoverable for re-use with sufficient metadata and documentation, all users of research data should acknowledge or cite sources, Data with acknowledged long terms value should be preserved and remain aaccessible for future research