Elsevier‘s RDM Program: Ten Habits of Highly Effective Data
-
Upload
anita-de-waard -
Category
Science
-
view
186 -
download
5
Transcript of Elsevier‘s RDM Program: Ten Habits of Highly Effective Data
| 1
Anita de Waard, VP Research Data CollaborationsElsevier RDM [email protected]
December 1, 2016
Elsevier‘s RDM Program: Ten Habits of Highly Effective Data
| 2
https://www.elsevier.com/connect/10-aspects-of-highly-effective-research-data
10. I
nteg
rate
ups
tream
and
dow
nstre
am
– m
ake
met
adat
a to
ser
ve u
se.
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:
| 3
Store, Preserve: Data Rescue Award
| 5
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
| 6
Access, Cite: Data Linking• Integrated in paper submission process• Supplementary data is never behind a firewall• Closely integrated with > 150 databases:
| 7
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)
| 8
Cite: Force11
https://www.elsevier.com/connect/data-citation-is-becoming-real-with-force11-and-elsevier
| 10
Data articles
Softwarearticles
Methodarticles
Protocols
Video articles
Hardwarearticles
Labresources
Full Researchpaper
• 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
| 11
11
Reuse: Cortex Registered Reports• 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:
| 12
Research article
published
Initial inquiry
Share, publish and
link data
Monitor progress and
provide guidance
Generate reports
111110 000111101110 0000
001 100111 011100101
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
| 13
10. I
nteg
rate
ups
tream
and
dow
nstre
am
– m
ake
met
adat
a to
ser
ve u
se.
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
Dat
a Li
ghth
ouse
| 14
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