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Data sharing: How, what and why?

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Slides for a webinar delivered to Open University researchers on 11th February 2019

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Data sharing: How, what and why?

  1. 1. Data Sharing: How, what and why? 11th February 2019 Dan Crane, Research Support Librarian library-research-support@open.ac.uk
  2. 2. 2 http://www.open.ac.uk/library-research-support/
  3. 3. 3 WHAT WE’LL COVER • What do we mean by ‘data sharing’ • Data sharing policies • Benefits of data sharing • Data repositories • Preparing data for sharing • Questions/further information
  4. 4. WHAT IS DATA SHARING?
  5. 5. 5 DATA SHARING: HOW, WHAT AND WHY? What is data sharing? “Data Sharing” and “Open Data” Question 5 - Have you ever used data produced by another researcher? 53 60 Yes No Question 5a - Where did you get it from? 5 11 18 21 24 Other - It had been published online in some form Other - direct contact or collaboration I found it in a repository There was a link in a paper or other publication I contacted the researcher to ask for it Results from OU Research Data Management Survey Sep-Oct 2018
  6. 6. 6 DATA SHARING: HOW, WHAT AND WHY? What is data sharing? • Supporting publication or end of project • In a trusted repository • With metadata • As open as possible​ • Available for 10 years​ • Discoverable, accessible, citeable • With a licence • Data access statement in publications
  7. 7. DATA SHARING POLICIES
  8. 8. 8 Funder policies DATA SHARING: HOW, WHAT AND WHY?
  9. 9. 9 Since 2017, all Horizon 2020 projects are part of the Open Research Data Pilot by default All publications after May 2015 should have a statement describing how to access underlying data. EPSRC have said they will check. Researchers now required to prepare to share data and other outputs of their work, such as original software and research materials like antibodies, cell lines or reagents. DATA SHARING: HOW, WHAT AND WHY? Funder policies
  10. 10. 10 Publisher policies DATA SHARING: HOW, WHAT AND WHY?
  11. 11. 11 OU policy “In keeping with OU principles of openness, it is expected that research data will be open and accessible to other researchers, as soon as appropriate and verifiable, subject to the application of appropriate safeguards relating to the sensitivity of the data and legal and commercial requirements.” OU Research Data Management Policy, November 2016 http://www.open.ac.uk/library-research-support/sites/www.open.ac.uk.library-research- support/files/files/Open-University-Research-Data-Management-Policy.pdf DATA SHARING: HOW, WHAT AND WHY?
  12. 12. 12 A shared aim Concordat on Open Research Data https://www.ukri.org/files/legacy/documents/concordatonopenresearchdata-pdf/ “Good data management is fundamental to all stages of the research process and should be established at the outset.” “Open access to research data is an enabler of high quality research, a facilitator of innovation and safeguards good research practice.” DATA SHARING: HOW, WHAT AND WHY?
  13. 13. BENEFITS
  14. 14. 14 innovation - moving science forward transparency higher citation, better recognition impact collaborations public money better spent efficiency - saves time, effort, money better data management cultural change Benefits and motivations meet funder requirements DATA SHARING: HOW, WHAT AND WHY?
  15. 15. 15 Benefits and motivations • Re-use efficiency of cost and effort, furthering research • Publishing what didn’t work – so others don’t repeat the experiment • Others better understand your work • Others validate or replicate your work • For the author - further reach and impact. Another research output • Rigour in working and preparing for someone else to see your workings • “The coolest thing to do with your data will be thought of by someone else.” Rufus Pollock, Cambridge University and Open Knowledge Foundation, 2008 DATA SHARING: HOW, WHAT AND WHY?
  16. 16. 16 Innovation DATA SHARING: HOW, WHAT AND WHY?
  17. 17. 17 Research integrity DATA SHARING: HOW, WHAT AND WHY?
  18. 18. 18 Impact, citations DATA SHARING: HOW, WHAT AND WHY?
  19. 19. 19 Why not? Exemptions “As open as possible, as closed as necessary” It is recognised that access may need to be restricted or managed in order to: • maintain confidentiality • guard against unreasonable cost • protect individuals’ privacy • respect consent terms • managing security or other risks. DATA SHARING: HOW, WHAT AND WHY?
  20. 20. 20 Data repositories DATA SHARING: HOW, WHAT AND WHY? Open Research Data Online (ORDO) Online data sharing services • Figshare • Zenodo • CKAN DataHub • Mendeley Data Funders’ repository services • UK Data Service ReShare • NERC data centres
  21. 21. 21 Data repositories – Open Research Data Online DATA SHARING: HOW, WHAT AND WHY? • ORDO - our own research data repository https://ordo.open.ac.uk/ • It provides secure, long-term storage for data and makes it shareable, discoverable and citable • Meets funder requirements and ‘industry standard’
  22. 22. PREPARING DATA FOR SHARING
  23. 23. 23 Preparing data for sharing DATA SHARING: HOW, WHAT AND WHY? • supporting publications • at the end of a project • supporting presentations, blogs, etc. • archive at project stages
  24. 24. 24 Preparing data for sharing DATA SHARING: HOW, WHAT AND WHY? • Raw data • Derived data • Data underpinning publications • Code • Methods What are research data in your context? What would others need to understand your research?
  25. 25. 25 Preparing data for sharing PREPARING DATA FOR SHARING “...make sure that data are fully described, so that consumers have sufficient information to understand their strengths, weaknesses, analytical limitations, and security requirements as well as how to process the data...” G8 Open Data Charter (2013) https://www.gov.uk/government/publications/open-data-charter/g8- open-data-charter-and-technical-annex Metadata and documentation
  26. 26. 26 PREPARING DATA FOR SHARING What do others need to understand your data? Metadata is additional information that is required to make sense of your files – it’s data about data. Preparing data for sharing Project level 1. For what purpose was data created 2. What does the dataset contain 3. How was data collected 4. Who collected the data and when 5. How was the data processed 6. What possible manipulations were done to the data 7. What were the quality assurance procedures 8. How can data be accessed CESSDA ERIC: https://www.cessda.eu/Research-Infrastructure/Training/Expert-Tour-Guide-on-Data-Management Supporting documentation • Working papers or laboratory books • Questionnaires or interview guides • Final project reports and publications • Catalogue metadata • READ ME file
  27. 27. 27 PREPARING DATA FOR SHARING What do others need to understand your data? Embedded documentation • code, field and label descriptions • descriptive headers or summaries • recording information in the Document Properties function of a file (Microsoft) Metadata is additional information that is required to make sense of your files – it’s data about data. Preparing data for sharing Object level CESSDA ERIC: https://www.cessda.eu/Research-Infrastructure/Training/Expert-Tour-Guide-on-Data-Management
  28. 28. 28 DATA SHARING: HOW, WHAT AND WHY? Preparing data for sharing FAIR data https://www.force11.org/group/fairgroup/fairprinciples https://www.go-fair.org/ https://twitter.com/MDDelahunty/status/1065043013150347265
  29. 29. 29 Preparing data for sharing – telling people about it DATA SHARING: HOW, WHAT AND WHY? Data Access Statement Content adapted from University of Bath, “Archiving and sharing data: Data access statements” • Used in publications to describe where the data directly underpinning the publication can be found and conditions of access • Some journals provide a separate section in papers, or put it in the acknowledgements section • For openly available data • The name(s) of the repositories / archives that the dataset(s) managing the dataset(s); • The persistent identifier for your dataset. • Data subject to access restrictions • Justification for the data being subject to access restrictions (for example, ethical, legal or commercial sensitivity); • Information on arrangements for accessing the data, including the persistent identifier to the dataset, or a statement that the data are not accessible • E.g. From: https://www.tandfonline.com/doi/full/10.1080/03069400.2017.1369793
  30. 30. QUESTIONS & USEFUL RESOURCES
  31. 31. 31 QUESTIONS & USEFUL RESOURCES QUESTIONS?
  32. 32. 32 How we can help QUESTIONS & USEFUL RESOURCES • Open Research Data Online (ORDO) • Help with Data Management Plans and consent forms • Advice on preparation of data for sharing • Online guidance • Enquiries Email: library-research-support@open.ac.uk
  33. 33. 33 Links USEFUL RESOURCES • The OU Library Research Support website: http://www.open.ac.uk/library- research-support/research-data-management • Open Research Data Online (ORDO): https://ordo.open.ac.uk • Digital Curation Centre: http://www.dcc.ac.uk/ • DMP Online: https://dmponline.dcc.ac.uk/ • UK Data Archive: http://www.data-archive.ac.uk/ • MANTRA: http://datalib.edina.ac.uk/mantra/ • CESSDA ERIC training: https://www.cessda.eu/Research- Infrastructure/Training/Expert-Tour-Guide-on-Data-Management • OU Human Research Ethics Committee: http://www.open.ac.uk/research/ethics/ • OU Data Protection: http://intranet6.open.ac.uk/governance/data- protection/advice-and-resources (if clicking on the link doesn’t work, copy and paste the address) • OU Information Security: http://intranet6.open.ac.uk/it/main/information- security (if clicking on the link doesn’t work, copy and paste the address)
  34. 34. 34 FEEDBACK How did we do? Before you go, please fill out our very short feedback form to tell us: • One thing you liked about today's session • One thing you would change Use the paper form, or online form at: https://bit.ly/2EZu0K6
  35. 35. THANK YOU
  36. 36. 36 IMAGE CREDITS Unless otherwise stated, all images are by Jørgen Stamp at http://www.digitalbevaring.dk

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