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Open Science: Research Data Management

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Wouter Haak's presentation on open science and research data management from the Elsevier Library Connect Event 2016 "Navigating the new publishing & open science terrain: what librarians need to know." Wouter is Elsevier's Vice President of Research Data Management Solutions.

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Open Science: Research Data Management

  1. 1. Open Science: Research Data Management April 2016 Wouter Haak VP Research Data Management Solutions
  2. 2. ICSU/IAP/TWAS/ISSC: It is widely recognized that ‘data re-use’ is not just a technology challenge, or something that the funding bodies can just change by themselves “Open Data in a Big Data world” – January 2016 Four major organisations representing global science, the International Council for Science (ICSU), the InterAcademy Partnership (IAP), The World Academy of Sciences (TWAS) and the International Social Science Council (ISSC) Backup
  3. 3. When you leave your institution…what happens with your data? „Forschende und ihre Daten. Ergebnisse einer österreichweiten Befragung (eBook)“ E-infrastructures Austria Bauer, B. (Bruno) et all Oct 2015 https://phaidra.univie.ac.at/detail_object/o:407736 Stays at institution Take it with me Don’t know Data is lost Other
  4. 4. Is your research data useful for others? Frequently Yes No „Forschende und ihre Daten. Ergebnisse einer österreichweiten Befragung (eBook)“ E-infrastructures Austria Bauer, B. (Bruno) et all Oct 2015 https://phaidra.univie.ac.at/detail_object/o:407736
  5. 5. The 10 components for effective research data 10.Integrateupstreamanddownstream –makemetadatatoserveuse. Save Share Use 9. Re-usable (allow tools to run on it) 8. Reproducible 7. Trusted (e.g. reviewed) 6. Comprehensible (description / method is available) 5. Citable 4. Discoverable (data is indexed or data is linked from article) 3. Accessible 2. Preserved (long-term & format-independent) 1. Stored (existing in some form) 5
  6. 6. 10.Integrateupstreamanddownstream –makemetadatatoserveuse. Funder mandates 9. Re-usable (allow tools to run on it) 8. Reproducible 7. Trusted (e.g. reviewed) 6. Comprehensible (description / method is available) 5. Citable 4. Discoverable (data is indexed or data is linked from article) 3. Accessible 2. Preserved (long-term & format-independent) 1. Stored (existing in some form) 6 Mandates are changing behavior – but only focused on the bottom of the data pyramid
  7. 7. 7 1. Research Data linking – linking articles to external datasets http://www.sciencedirect.com/science/article/pii/S022352341500272X 7
  8. 8. 9 2. Gold OA reviewed data journals, software journals, method journals (collectively called “Research Elements”) http://www.journals.elsevier.com/data-in-brief/ Direct submission 50% Just publish and get credit for your data Co- submission 50% On top of the main article: attract attention for your data Increasing from 100 journals to 250+ journals in November 2015 MethodsX Data in Brief SoftwareX e.g.:
  9. 9. 2. Gold OA journal data / research elements articles growth • Usage is in top 25% of open access articles on ScienceDirect 0 20 40 60 80 100 120 140 160 180 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2014 2015 Submitted 0 10 20 30 40 50 60 70 80 90 100 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2014 2015 Accepted 10 0 10 20 30 40 50 60 70 80 90 100 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2014 2015 Non-Elsevie competition*, predominantly: F1000Research, Nature Scientific Data, Codata, BMC Research Notes, GigaScience
  10. 10. 3. Development Partnership (France) – Lab Data Tool: structure in the lab www.hivebench.com 11
  11. 11. https://data.mendeley.com/datasets/xz6gv65m6d/6 Linked to published papers – or not Versioning and provenance 4. Manage, Store: Mendeley Data launched Dec 2015 Data citation (DataCite) Researcher in control (embargo / visible)
  12. 12. 13 5. Prototype: Research Data Search http://demo-rdm-datasearch-1436039625.eu-west-1.elb.amazonaws.com/indexed#/ (prototype under username / password. Upon request) search for “rare geochemical ionic liquid” or “mantle calcium variation” 13
  13. 13. 6. Datasets in Pure („Research Data Sets“) – Compliance! •Register datasets and their related metadata in Pure •Upload binary dataset files directly into Pure •Link datasets to related projects, publications, awards and more for enhanced reporting capabilities Provide transparency and comply with funders' requirements through the new 'Datasets' content type
  14. 14. Regular Elsevier journals Mendeley data repo (researcher) Data in the lab / ELN Post Other repositories Discoverability: Data/article linking program Index Index 15 The open RDM ecosystem: where do we stand now Review & curate data: data journals Elsevier RDM Solutions Non-Elsevier / open Integrated Discoverability: Data search M&A process Prototype Link Link
  15. 15. Powered by ROS Social (profiles, awareness, dashboards) Compliance (e.g. Pure) Local institutional data repository altmetrics, SciVal, Scopus Scopus citations Regular Elsevier journals Journal data repository Mendeley data repo (researcher) Publish Data in the lab / ELN PostPublish Other publishers/journals Other repositories Discoverability: Data search Discoverability: Data/article linking program Index Index Post data Repository data search Institutional data search Domain data search Embed Embed Measure outcomes (data use) 16 The open RDM ecosystem: where do we go => Focus and complexity is in the integration & coverage (and less in the individual pieces) Review & curate data: data journals Other lab management tools Elsevier RDM Solutions Non-Elsevier / open Institutional data repository Integrated Link Link Post data & supp material
  16. 16. Questions? 10.Integrateupstreamanddownstream –makemetadatatoserveuse. Save Share Use 9. Re-usable (allow tools to run on it) 8. Reproducible 7. Trusted (e.g. reviewed) 6. Comprehensible (description / method is available) 5. Citable 4. Discoverable (data is indexed or data is linked from article) 3. Accessible 2. Preserved (long-term & format-independent) 1. Stored (existing in some form) 17

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