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Publishing the Full Research Data Lifecycle
This document discusses strategies for supporting open science through the full research cycle and data/software preservation. It outlines current practices for managing, storing, publishing, and reusing research data and software. It proposes improvements like requiring researchers to post datasets to repositories under embargo linked to any subsequent publications to reduce workload, better track outputs, and improve data linking and availability. The goal is to make data sharing and open science practices more seamless and effective.
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Publishing the Full Research Data Lifecycle
- 1. | 1 Anita deWaard, 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 andAnalyse: 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 topublished 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 uploadedon 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
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- 10. | 10 • Thefirst Reproducibility Paper was published recently: http://www.sciencedirect.com/science/article/pii/S0306437915301113 • It is linked to this paper: http://www.sciencedirect.com/science/article/pii/S0306437915000472 • The data is hosted here: 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. Reuse: Reproducibility Papers
- 11. | 11 Discover, Reuseand 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.org • Operational prototype at http://dliservice.research-infrastructures.eu/#/api (including 1.4 Million links from various sources)
- 12. | 12 Discover, Reuseand Cite: https://www.elsevier.com/connect/data-citation-is-becoming-real-with-force11-and-elsevier
- 13. | 13 Publishing TheFull Research Cycle Requires Networks of Collaboration: Force11: - 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 National 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 RDA: - 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 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-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 AgencyInstitution Data RepositoryDataset JournalPaper 1. Researchercreates 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 AgencyInstitution Dataset JournalPaper 2 2 1 3 4 4 iii. Nolink 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 AgencyInstitution Data Repository Dataset Journal Paper 1. Researchercreates 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 4i. 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 MaslowHierarchy for Research Data: