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Data Citation for small publishers


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Presentation on data citations for publishers, given by Jez Cope, Data Services Lead at the British Library/Crossref workshop in London on 5 February 2019.

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Data Citation for small publishers

  1. 1. Data citation: why & how? Jez Cope, Data Services Lead Research Infrastructure Services
  2. 2. Agenda • Why promote data citation? • How to do it • Principles • Practice • Further details 2
  3. 3. Why cite data? • For readers: • Trust results better • Build on results more effectively 3
  4. 4. Why cite data? • For authors: • Support validation, reproducibility and reuse • Get credit for valuable data • Improve provenance tracking • Comply with funder requirements • For reviewers: • Evaluate submissions more easily 4
  5. 5. Why cite data? • For publishers: • Improve reader & author service • Improve editor & reviewer service • Help journals & authors comply easily with funder mandates • Meet editorial goals to publish more open/reproducible research • Make the most of repository partnerships 5
  6. 6. FAIR data • The FAIR principles are now a cornerstone of most funder policy • Findable • Accessible • Interoperable • Reusable • Data citation plays a key role in making data Findable and Accessible 6
  7. 7. How to do it: principles • FORCE11 Joint Declaration of Data Citation Principles • Key set of overarching guidelines • Agreed between researchers, funders, publishers, information professionals, … • Data Citation Synthesis Group. ‘Joint Declaration of Data Citation Principles’, 2014. 7
  8. 8. Data Citation Principles 1. Importance 2. Credit & attribution 3. Evidence 4. Unique identification 5. Access 6. Persistence 7. Specificity & verifiability 8. Interoperability & flexibility 8
  9. 9. How to do it: practice • A lot to consider! Take it one step at a time • Valuable guide: “A Data Citation Roadmap for Scientific Publishers”: • Cousijn, Helena, Amye Kenall, Emma Ganley, Melissa Harrison, David Kernohan, Thomas Lemberger, Fiona Murphy, et al. ‘A Data Citation Roadmap for Scientific Publishers’. Scientific Data 5 (20 November 2018): 180259. 9
  10. 10. Information for authors • Request data availability statements • Include it in author template • Examples of citation format • Many style guides and standards now have dataset guidance (e.g. ISO 690- 2010) • Guidance on suitable repositories • Reminder of responsibility of corresponding author for research validity, including proper data management 10
  11. 11. Data Availability Statements • Data Availability (or Access) Statements are not formal citations but can provide more nuance in describing how to access data • Some good examples collated by university libraries: • University of Bristol • University of Bath • JATS4R recommendation on markup of data availability statements 11
  12. 12. Citation formats for data Author(s), Year, Dataset Title, Data Repository or Archive, Version, Global Persistent Identifier • Principle 2: Credit & attribution • Principles 4, 5, 6: Unique Identifier, Access, Persistence • Principle 7: Specificity & verification Taken from 12
  13. 13. re3data: Registry of Research Data Repositories • Huge range of data repositories • Search for keywords or browse by discipline • Good to select a subset focused on your authors 13
  14. 14. Policy • 4 broad policy types (with thanks to Springer Nature): See policy-types/12327096 14 Policy Type Policy summary Example Journal Type 1 Data sharing and data citation is encouraged Photosynthesis Research Type 2 Data sharing and evidence of data sharing encouraged Plant and Soil Type 3 Data sharing encouraged and statements of data availability required Palgrave Communications (see Editorial policies) Type 4 Data sharing, evidence of data sharing and peer review of data required Scientific Data (see Data policies)
  15. 15. Structured information • Display data citations & data availability statements in the article • Update DTDs etc. to correctly tag these • E.g. JATS for Reuse (JATS4R) recommendation • Deliver data citation information to CrossRef 15
  16. 16. Training & advocacy • Editors • Reviewers • Internal customer services 16
  17. 17. How does the British Library help? • Point of coordination for DataCite in the UK • Provide UK research institutions with DOIs for data • Advocate for data citation within library and research communities • International collaborations to develop standard approaches to bibliographic metadata • E.g. FREYA project: “Connected Open Identifiers for Discovery, Access and Use of Research Resources” 17
  18. 18. Specialist issues • Citing dynamic data • Important for datasets under ongoing update • E.g. long-term cohort studies, live streaming datasets • What was the state of the dataset when the analysis done? • Andreas Rauber, Ari Asmi, Dieter van Uytvanck, and Stefan Proell. ‘Data Citation of Evolving Data: Recommendations of the Working Group on Data Citation (WGDC)’, 23 October 2016. • Citing software • In some disciplines, software is the key research artefact • In others, it still plays a key part in validation of the analysis • Smith, Arfon M., Daniel S. Katz, and Kyle E. Niemeyer. ‘Software Citation Principles’. PeerJ Computer Science 2 (19 September 2016): e86. 18
  19. 19. Any questions? 19