Force11 jddcp intro
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Transcript of Force11 jddcp intro
Joint Declaration of Data Citation Principles
Synthesis Group
By Mercè Crosas, IQSS, Harvard Universityat Force2015, Oxford University, January 12, 2015
@mercecrosas
Data in scholarly publications: Current State
Most Publications:
1. No link to data
2. Or footnote with a link to
data, but no persistent
identifier
3. Or persistent citation to
data, but no common
machine-actionable
metadata
PUBLICATION DATA
Are we ready to make data citable products of research?
A Brief History of Citing Data
Altman M., Crosas M., 2014, “The Evolution of Data Citation: From Principles to Implementation” IASSIST Quarterly, In Press
1906Chicago Manual of Style
Standards in Scholarly Citation: author/creator, title, dates, publisher or distributor of the work
~1960First scientific digital repositories(e.g., ICPSR,World Data Center)
1979 ASBR (“Data File” type)MARC (machine readable catalog)Domain Repositories (e.g., GenBank)
1999 - NowData Repositories (e.g., NESSTAR, Dataverse, Dryad, Figshare)DOI services (DataCite)
The Making of the Principles
• Decades of research and practices in data citation
• Consolidated to a single set of Principles
• By a synthesis group representing 25+ organizations
• Driven by the premise that:
"sound, reproducible scholarship rests upon a foundation of robust, accessible data”
"data should be considered legitimate, citable products of research”
Synthesis Group
CODATA Principles
Amsterdam Manifesto
DataCite Principles
+ contribution from 25 organizations (DCC, ORCID, Publishers, Repositories, …)
Joint Declaration of Data Citation Principles
The Principles
1 Importance
2 Credit and Attribution
3 Evidence
4 Unique Identification
5 Access
6 Persistence
7 Specificity and Verifiability
8 Interoperability and flexibilityhttps://www.force11.org/datacitation
ExampleA data citation generated by the Dataverse Repository (dataverse.org)
Principle 2:Credit and Attribution
Principle 4, 5, 6:Unique Id Access Persistence
Principle 7:Specificity and Verifiability
Principle 8: Interoperability and flexibility:Repository exports citation metadata in XML, JSON formats
Authors, Year, Dataset Title, DOI, Data Repository, UNF, version
Resolves to landing page with access to metadata, docs, and data
See Details at: Altman and King, 2007, A Proposed Standard for the Scholarly Citation of Quantitative Data;Altman, Crosas, 2013, The Evolution of Data Citation