This document discusses Elsevier's research data management (RDM) program and ten habits of highly effective data. It outlines a "Maslow hierarchy" for data with storing and preserving data at the base. It then discusses tools and services offered by Elsevier to help with storing, preserving, accessing, citing, discovering, reusing, and integrating data including: Hivebench, Mendeley Data, data linking, Scholix, Force11, Datasearch, Research Elements, and Cortex Registered Reports. The document also presents Data Lighthouse, a service to help research institutions engage with researchers throughout the data lifecycle by offering solutions, monitoring progress, and providing reports.

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Anita de Waard, VP Research Data Collaborations
Elsevier RDM Services
a.dewaard@elsevier.com
December 1, 2016
Elsevier‘s RDM Program:
Ten Habits of Highly Effective Data

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https://www.elsevier.com/connect/10-aspects-of-highly-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
1. Stored (existing in some form)
2. Preserved (long-term & format-independent)
A Maslow Hierarchy for Research Data:

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Store, Preserve: Data Rescue Award

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Store: Hivebench
www.hivebench.com

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https://data.mendeley.com/
Linked to published
papers – or not
Linked to Github
– or not
Versioning and
provenance tracking
Store, Access: Mendeley Data
Different Licenses:
GNU-PL, CC-BY CC0,
etc

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Access, Cite: Data Linking
• Integrated in paper submission process
• Supplementary data is never behind a firewall
• Closely integrated with > 150 databases:

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Access, Discover: Scholix/DLIs
• ICSU-WDS/RDA Publishing Data Service Working group,
merged with National Data Service pilot
• Cross-stakeholder – with 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)

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Cite: Force11
https://www.elsevier.com/connect/data-citation-is-becoming-real-with-force11-and-elsevier

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Discover: Datasearch
https://datasearch.elsevier.com

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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
Review: Research Elements

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Reuse: Cortex Registered Reports
11
• Two-step submission process:
• Method and proposed analysis are submitted for pre-registration
• Paper is conditionally accepted
• Research is executed
• Full paper submitted, accepted provided that protocol is followed
• All experimental data made available Open Access
• Featured in the Guardian:

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Research
article
published
Initial inquiry
Share,
publish and
link data
Monitor
progress and
provide
guidance
Generate
reports
111110 00011
1101110 0000
001
10011
1
011100
101
What?
• Service for Research Institutes (esp. librarians) to
engage with researchers throughout the research
data life cycle.
How?
Offer service for Librarians to interact with researchers
regarding the RDM Process to:
• Offer solutions to store, share, link and publish data
• Monitor progress report on posting, citation,
downloads of dataset
• Provide monthly reportingDATA
LIGHTHOUSE
Metrics for Institutions: Data Lighthouse

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10.Integrateupstreamanddownstream
–makemetadatatoserveuse.
Save
Share
Use
9. Re-usable
8. Reproducible
7. Trusted
6. Comprehensible
5. Citable
4. Discoverable
3. Accessible
1. Stored
2. Preserved
https://www.elsevier.com/connect/10-aspects-of-highly-effective-research-data
A Maslow Hierarchy for Research Data:
Data at Risk
Reproducibility Papers
Data
Lighthouse

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Links:
• Original Materials:
- The original research paper: Kinnings et al, 2010
- The paper describing the earlier reproducibility effort: Garijo et al., 2013
- A wiki with the reproduction attempt: Gil/Darijo, 2012
- Background materials on the reproduction efforts: Garijo, 2012
- SMAP Tool: Xie, 2010
• Our rebuild:
- Protocol in Hivebench: https://www.hivebench.com/protocols/16483
- Experiment in Hivebench:
https://www.hivebench.com/notebooks/8524/experiments/20562
- Data in Mendeley Data:
https://data.mendeley.com/datasets/r69mvkckmn/draft?preview=1
- MethodsX Paper, with links to protocols and data:
http://www.articleofthefuture.com/methodsx.html