opportunities and challenges: implementing data citation standards jeri schneider, icpsr iassist...

Opportunities and Challenges:Implementing Data Citation Standards

Jeri Schneider, ICPSRIASSIST 2006 ConferenceAnn Arbor, MIMay 26, 2006

Overview

ICPSR’s Bibliography of Data-Related Literature—accomplishments, obstacles

Future citation landscape How do we get there from here? Unresolved issues

ICPSR’sBibliography of Data-Related Literature

39,000+ citations to over 4,000 studies 2,000+ journals, 23,000+ journal articles Access bibliography for study:

Search for study Select “Related Literature” tab at top of study description

http://www.icpsr.umich.edu/access/index.html

Current Citation Landscape

Future Citation Landscape

Data Citation Index—”Association of Ideas”

Data Mininghttp://www.touchgraph.com

Subject searches, associations How do we get there from here?

Establish Official Standard (e.g. ISO)

Develop Culture of Citing Data

Develop Technology Infrastructure

Develop New Tools Based on Data Citations

Dynamic Links from e-

Publications to Data

Automated Data Citations

Index/Bibliographies

Graphical Web of Data/Publications

Associations

Develop Citation Standard/Guidelines (IASSIST)

Unresolved Issues

Step 1: Develop Citation Standard/Guidelines (IASSIST)

Agree on necessary citation elements

Develop and publish recommendation

Establish Official Standard

ISO, etc.

Develop Culture of Citing Data

P.I.s—archive/distribute data, titles Authors—proper citation (when, how,

where to cite) Publishers/Editors—enforce Citation manuals—APA, MLA, Chicago Libraries WHO ELSE??? Ego factor Practice of citing data will grow

exponentially as benefits are realized

Develop Technology Infrastructure

Archives—unique identifiers/keys, versions Citation software—EndNote, ProCite, etc. Publishers & editors—develop/adopt their

own formats based on standard Digital content providers—develop links,

integrate with current products, create new products (web/association of ideas)

OTHERS?

Automated Data Citations Index/Bibliographies

Machine-readable citations will enable the development of mechanisms to automatically collect citations into an index, for rapid creation of study bibliographies and other associated lists

Unresolved Issues

What constitutes “data use” that warrants citation?

What if there are multiple versions of data available, and/or same data from multiple sources?

How do we identify data citation as “data”?

WHAT ELSE???

What constitutes “data use”?

Data are central to argument Data are used to generate one table

(or 20 tables?) Data are used as comparison to

central data used Data collection/methodology are

described or critiqued What else???

Multiple versions, multiple sources?

Can we design citations and/or technology infrastructure so that users can effectively perform multiple tasks: Link to original data used, from original source

(or from alternate source)AND

Link to the same studies from multiple sourcesAND

Link to various versions of data from same study

How to identify data citation as “data”?

Can we agree on terminology, or set of terms, that both users and machines will understand?

Interested Parties

Principal investigators Release/archive data Title Versions

Archives Release Versions Standard number/key identifier

Authors—when, how, where to cite? Publishers/Editors—print and digital—enforcers? Electronic content providers—links, enforcers?

Integrate with current products, create new products (web/association of ideas)

Citation software developers—EndNote, ProCite, RefWorks, etc. Who else???

Next Steps

Share citation guidelines—find commonalities, differences

Hold meeting to resolve differences Publish IASSIST guide Divide tasks—make contacts,

publish, present (develop culture, infrastructure)

See also: Dodd, Sue. (1979) “Bibliographic references for numeric social

science data files: Suggested guidelines.” Journal of the American Society for Information Science, 30 (2), 77-82.

Dodd, Sue. (1990) “Bibliographic References for Computer Files in the Social Science: A Discussion Paper.” Chapel Hill, NC: Institute for Research in Social Science, University of North Carolina. http://www.people.virginia.edu/~pm9k/info/compRef.html

Schneider, Jeri. (2006) “Why we need a data citation standard: Lessons learned from compiling ICPSR’s Bibliography of Data-Related Literature.” ICPSR Bulletin, 26 (2), 9-12. http://www.icpsr.umich.edu/org/publications/bulletin/spr06.pdf

Contact: Jeri Schneider, ICPSR - jeris@umich.edu