1. Data sharing & reuse Library – RDM Support Project Basic training course for information specialists

2. Data archives RDMS Data sharing & reuse2

3. 3 Data archives: types & sizes  Institutional: universities, institutions  National: UK Data Service, ANDS  Discipline-specific: Dryad, ICPSR  General: figshare

4. RDMS Data sharing & reuse4 Data archives: aims  Sustainable data storage  Findable publication of data

5. RDMS Data sharing & reuse5  Deutsche Forschungsgemeinschaft (DFG)  All fields  Crowdsourced, review by Re3data  Keywords (subject, content type, country)  634 repositories as of 19/03/2014

6. RDMS Data sharing & reuse6 http://service.re3data.org/search/

7. RDMS Data sharing & reuse7

8. 8  Purdue University Libraries (hosting)  All fields  Crowdsourced, approval by Databib  Categorised by field  624 data repositories as of 20/03/2014

9. RDMS Data sharing & reuse9 http://databib.org/advanced_search.php http://databib.org/index.php

10. RDMS Data sharing & reuse10

11. RDMS Data sharing & reuse11 Re3data vs Databib http://datapub.cdlib.org/2014/03/03/finding-disciplinary-data-repositories-with-databib-and-re3data/

12. RDMS Data sharing & reuse12 Other registers of (data) repositories Directory of Open Access RepositoriesDirectory of Open Access Repositories (OpenDOAR) Registry of Open Access RepositoriesRegistry of Open Access Repositories (ROAR) Open Access DirectoryOpen Access Directory (OAD) Mapping of the Eur. Research Infrastructure LandscapeMapping of the Eur. Research Infrastructure Landscape (MERIL) BioSharing University of Southampton University of Nottingham Simmons College, Boston European Science Foundation (ESF) University of Oxford

13. Quality of repositories  Data Seal of Approval (DSA)  Trusted Repositories Audit & Certification (TRAC)  Trusted Digital Repository (TDR) Checklist (ISO 16363) RDMS Data sharing & reuse13 http://www.datasealofapproval.org/en/ http://www.crl.edu/archiving-preservation/digital-archives/metrics- assessing-and-certifying/other-assessment-tools

14. Sharing & publishing data RDMS Data sharing & reuse14

15. RDMS Data sharing & reuse15 Sharing data: when and with whom?  during research  with colleagues from one's own research group  with people outside the research group  when publishing article  after completion of research

16. Sharing data: how? not public:  network disk  external hard disk, USB  Virtual Research Environment (VRE) (not) public:  own website  journal website  data repository, data archive  data journal RDMS Data sharing & reuse16

17. RDMS Data sharing & reuse17 Data journals  Data/dataset paper: description of dataset by the creator, peer reviewed  Dataset deposited in repository by creator  List of data journals (in formation): http://proj.badc.rl.ac.uk/preparde/blog/DataJournalsList

18. RDMS Data sharing & reuse18 Which data archive?  Prescribed by journal/publisher  Prescribed by research funder  Repository of field  Repository of institution  General data archive

19. RDMS Data sharing & reuse19

20. RDMS Data sharing & reuse20 Criteria when choosing data archive  Costs  Quality of the data archive  Findability of the data  Options: persistent identifier, version management, access restrictions  Requirements: file formats, metadata

21. RDMS Data sharing & reuse21

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23. RDMS Data sharing & reuse23 Sharing data: points for attention  May dataset be shared? (rights, safety, privacy)  Can dataset be shared? (metadata, documentation, anonymisation)  How is dataset shared? (repository, licence)

24. RDMS Data sharing & reuse24 Depositing data in data archive: why?  value, uniqueness and/or importance of the data for importance for historical research (into the history of science)  importance of the data for non-scientific purposes (e.g. cultural heritage, museums, etc.)  requirement (funder, institution, journal)

25. RDMS Data sharing & reuse25 Depositing data in data archive: four scenarios  Description and dataset public  Description public, dataset public after embargo  Description public, dataset only shared with specific users  Description public, dataset not public

26. RDMS Data sharing & reuse26 Publishing data: why?  Verification of research conclusions  Reuse by others for research or education  Publicly funded = results public  Requirement by institution, funder or journal

27. RDMS Data sharing & reuse27 “Yes, but…” The UK Data Service has listed a number of reasons given by researchers for not sharing or publishing their data. Are these valid arguments? Can you think of counterarguments or solutions? UK Data Archive (UK Data Service), Managing and sharing data. Training resources (2011), 9-12 http://ukdataservice.ac.uk/manage-data/training.aspx

28. Finding, reusing & citing data RDMS Data sharing & reuse28

29. RDMS Data sharing & reuse29 Finding data  Citation of dataset in journal article  Search for data archive via registry  Search within data archive  DataCite - only for datasets with DOI  Data Citation Index (Thomson Reuters) Data Citation Index

30. RDMS Data sharing & reuse30 DataCite http://search.datacite.org/ui

31. RDMS Data sharing & reuse31 Reusing data  Does the dataset match (sufficiently) with the new research question?  Are the data reliable, properly described?  May I use the data?

32. RDMS Data sharing & reuse32 Citing data: aim  Verifiability of assertions made on the basis of dataset  Credits for creator of dataset

33. RDMS Data sharing & reuse33 Citing data: how?  No standard  Citation styles: APA, MLA, Chicago  Guidelines of data repositories

34. RDMS Data sharing & reuse34 Required elements  Authors: name of the creator/creators of the dataset  Title: the name of the dataset  Publication date: the date on which the dataset was published

35. RDMS Data sharing & reuse35 Required elements  Publisher: the name of the archive where the dataset is stored  Identifier: the unique reference of the dataset, e.g. a DOI

36. RDMS Data sharing & reuse36 Optional elements  File type: the type of file (e.g. dataset, codebook, film, image, software)  Version: the version number of the edition of the dataset used (if applicable)

37. RDMS Data sharing & reuse37 Optional elements  Creation date: the date on which the dataset was created (important for unpublished dataset)  Access date: the date on which you (last) accessed the dataset

38. RDMS Data sharing & reuse38 Citation styles: APA (6 th ed.) Minimum:  Milberger, S. (2002). Evaluation of violence against women with physical disabilities in Michigan, 2000-2001 (ICPSR version) [data file and codebook]. doi:10.3886/ICPSR03414

39. RDMS Data sharing & reuse39 Citation styles: APA (6 th ed.) With optional elements:  Milberger, S. (2002). Evaluation of violence against women with physical disabilities in Michigan, 2000-2001 (ICPSR version) [data file and codebook]. Detroit: Wayne State University [producer]. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor]. doi:10.3886/ICPSR03414

40. RDMS Data sharing & reuse40 Citation styles: MLA (7 th ed.) Minimum:  Milberger, Sharon. Evaluation of Violence Against Women With Physical Disabilities in Michigan, 2000-2001. ICPSR version. Inter- university Consortium for Political and Social Research, 2002. Web. [19 05 2011]

41. RDMS Data sharing & reuse41 Citation styles: MLA (7 th ed.) With optional elements:  Milberger, Sharon. Evaluation of Violence Against Women With Physical Disabilities in Michigan, 2000-2001. ICPSR version. Detroit: Wayne State U [producer]. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2002. Web. 19 May 2011. doi:10.3886/ICPSR03414

42. RDMS Data sharing & reuse42 Citation styles: Chicago (16 th ed.) Bibliography:  Milberger, Sharon. Evaluation of Violence Against Women With Physical Disabilities in Michigan, 2000-2001. ICPSR version. Detroit: Wayne State University, 2002. Distributed by Ann Arbor, MI: Inter- University Consortium for Political and Social Research, 2002. doi:10.3886/ICPSR03414.

43. RDMO Data delen & hergebruiken43 Citation styles: Chicago (16 th ed.) Author-Date:  Milberger, Sharon. 2002. Evaluation of Violence Against Women With Physical Disabilities in Michigan, 2000-2001. ICPSR version. Detroit: Wayne State University. Distributed by Ann Arbor, MI: Inter-University Consortium for Political and Social Research. doi:10.3886/ICPSR03414.

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46. RDMS Data sharing & reuse46 Persistent identifiers  Digital Object Identifier (DOI)  Uniform Resource Name (URN)  Archival Resource Key (ARK)  Handle (HDL)  Persistent Uniform Resource Locator (PURL)

47. RDMS Data sharing & reuse47 Persistent identifiers  doi:10.3886/ICPSR09685.v2  urn:nbn:nl:ui:13-19ye-al  http://ark.cdlib.org/ark:/13030/tf5p30086k  http://hdl.loc.gov/loc.rbc/jeff.16823  http://purl.oclc.org/NET/DIGIZEIT.PPN

48. RDMS Data sharing & reuse48 http://ands.org.au/guides/data_citation_poster.pdf

49. RDMS Data sharing & reuse49 Publication information Presentation: Mariëtte van Selm | selm@uva.nlselm@uva.nl Images, unless credited otherwise: Jørgen Stamp | http://www.digitalbevaring.dk/http://www.digitalbevaring.dk/ M. van Selm, RDM Support - basic training course for information specialists, course material for session 6. March 2014. This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International licenceCreative Commons Attribution-ShareAlike 4.0 International