1. | 1 Anita de Waard, VP Research Data Collaborations Elsevier RDM Services a.dewaard@elsevier.com May 20, 2016 Publishing The Full Research Cycle To Support Open Science Container Strategies for Data & Software Preservation that Promote Open Science Notre Dame, IN

2. | 2 Source: JISC: How and why you should manage your research data: a guide for researchers Caroline Ingram, Published: 7 January 2016 Research Data Life Cycle:

3. | 3 Collaborate and Analyse: Hivebench www.hivebench.com

4. | 4 Manage, Store, Preserve: Data Rescue: Preserving Data At Risk https://olivearchive.org/ Software Rescue: Preserving Executable Content http://www.codata.org/task-groups/data-at- risk/dar-workshops

5. | 5 https://data.mendeley.com/ Linked to published papers – or not Linked to Github – or not Versioning and provenance Manage, Store, Preserve: Mendeley Data Allowing Different Licenses

6. | 6 Data articles Software articles Method articles Protocols Video articles Hardware articles Lab resources Full Research paper Brief article types designed to communicate a specific element of the research cycle Complementary to full research papers Easy to prepare and submit Peer-reviewed and indexed Receive a DOI and fully citable Allow citable post-publication updates Primarily Open Access (CC-BY) Published in Multidisciplinary and domain-specific journals https://www.elsevier.com/books-and-journals/research-elements Share, Publish: Research Elements

7. | 7 http://www.journals.elsevier.com/softwarex/ Share, Publish: SoftwareX Submissions to SoftwareX are composed of - A short article describing the software, with a focus on the impact of the software in the research community and re-usability across disciplines - A “metadata table” containing information about the software and key metrics: - A permanent link to a software repository (GitHub) where the software and code is stored and maintained by Elsevier and made freely available Peer Review - Follows a simple reviewer questionnaire, available from the SoftwareX website, that evaluates usability and scientific impact of the software - Less attention is placed on the technical quality of the software

8. | 8 data uploaded on Mendeley Data code/softwar e deposited to GitHub software updates Software article peer-review process submitted SoftwareX Metadata Bi-directional links software article published; live stats shown code/software forked to the journal GitHub repository (open source) CC-BY linke d Data is publicly available on Mendeley Data (CC-BY) accepted Share, Publish: SoftwareX

9. | 9 Discover: Datasearch http://datasearchdemo.elsevier.com/indexed#

10. | 10 The first Reproducibility Paper was published recently: http://www.sciencedirect.com/science/article/pii/S0306437915301113 http://www.sciencedirect.com/science/article/pii/S0306437915301113 It is linked to this paper: http://www.sciencedirect.com/science/article/pii/S0306437915000472 http://www.sciencedirect.com/science/article/pii/S0306437915000472 The data is hosted here: https://data.mendeley.com/datasets/xz6gv65m6d/6 https://data.mendeley.com/datasets/xz6gv65m6d/6 To reproduce the experiment, the journal requires source code for the software components, together with installation scripts; we suggest authors to host their code in GitHub In addition to the source code, we recommend authors to submit a virtual machine, where all appropriate software components are readily installed and can be reproduced on a wide variety of platforms. Authors are to submit their experiments using either ReproZip or Docker.ReproZip or Reuse: Reproducibility Papers

11. | 11 Discover, Reuse and Cite: ICSU-WDS/RDA Publishing Data Service Working group, merged with National Data Service pilot Cross-stakeholder - with support and input from CrossRef, DataCite, OpenAIRE, Europe PubMed Central, ANDS, PANGAEA, Thomson Reuters, Elsevier, and others Proposed long-term architecture and interoperability framework: www.scholix.orgwww.scholix.org Operational prototype at http://dliservice.research-infrastructures.eu/#/api (including 1.4 Million links from various sources)http://dliservice.research-infrastructures.eu/#/api

12. | 12 Discover, Reuse and Cite: https://www.elsevier.com/connect/data-citation-is-becoming-real-with-force11-and-elsevier

13. | 13 Publishing The Full Research Cycle Requires Networks of Collaboration: Force11Force11: - Multi-stakeholder, member-driven organisation - Unites scholars, tool developers, librarians, publishers, funding agencies etc. etc. - E.g. Software citation group, akin to Data Citation Group E.g. Software citation group National Data ServiceNational Data Service: - Multi-stakeholder group, based around supercomputing centres - Aims to be a ‘connective tissue’ between data creation, curation, storage etc projects. - Inviting Pilots: two or more partners who have not worked together, interested in collaborating on a data-centric project to solve a real-world needs - E.g. Datasearch, Data Linking systems RDARDA: - Coleading Data publishing, linking group - Colead Cost Recovery group, part of RDA US Sustainability effort - Active in Chemistry, Earth Science groups, starting IG on Data Search - SciDataCon, Sept 11-16, Denver, CO SciDataCon, Sept 11-16, Denver, CO The National DATA SERVICE

14. | 14 https://www.hivebench.com https://www.elsevier.com/physical-sciences/earth-and-planetary-sciences/the-2015- international-data-rescue-award-in-the-geoscienceshttps://www.elsevier.com/physical-sciences/earth-and-planetary-sciences/the-2015- international-data-rescue-award-in-the-geosciences http://www.journals.elsevier.com/softwarex/ https://www.elsevier.com/books-and-journals/content-innovation/data-base-linking https://rd-alliance.org/groups/rdawds-publishing-data-services-wg.html https://rd-alliance.org/bof-data-search.html https://data.mendeley.com/ https://www.elsevier.com/connect/10-aspects-of-highly-effective-research-data https://www.force11.org/ http://www.nationaldataservice.org/ https://rd-alliance.org/ https://www.elsevier.com/about/open-science/research-data Anita de Waard, a.dewaard@elsevier.com Thank you! Questions?

15. | 15 Researche rs Funding Agency Institution Data Repository Dataset Journal Paper 1.Researcher creates datasets 2.Researcher writes paper & publishes in journal 3.(Sometimes,) dataset gets posted to repository 4.Researcher reports (post-hoc) to Institution and Funder 2 2 1 3 4 4 Share and Publish, Current Status:

16. | 16 Researche rs Funding Agency Institution Dataset Journal Paper 2 2 1 3 4 4 iii. No link between data and paper iv. Funders/Institutions informed as an afterthought i. Too much work for researchers ii. Data posting not mandatory Data Repository Share and Publish, Issues:

17. | 17 Researche rs Funding Agency Institution Data Repository Dataset Journal Paper 1.Researcher creates datasets and posts to repository(under embargo) 2.Funder is automatically notified of dataset publication 3.Researcher writes paper & publishes in journal; embargo is lifted and data linked - NB this also allows release of non-used data for negative result and reproducibility 4.Funder and institution get report on publication and embargo lifting 2 1 1 3 3 3 4 4 i. Less Work! iv. Better Tracking! iii. Better Linking ! ii. More Data Stored! Share and Publish, Proposal:

18. | 18 https://www.elsevier.com/connect/10-aspects-of-highly-effective-research-data A Maslow Hierarchy for Research Data: