Intervention de Nigel Robinson, Director, Content Managment chez Thomson Reuters au Forum du GFII 2015 : http://forum.gfii.fr/forum/les-nouvelles-mesures-de-l-influence-scientifique-l-apport-des-metriques-alternatives-au-pilotage-de-la-recherche

1. DATA CITATION METRICS
BEST PRACTICE TO ENABLE NEW METRICS FOR RESEARCH DATA
NIGEL ROBINSON
GFII - DECEMBER 2015

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OVERVIEW
1 Why metrics for data?
2
3
Challenges & best practice
Delivering metrics with the Data Citation IndexSM

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DEFINITIONS
Data
• Facts collected for reference or analysis.
• Non traditional scholarly output of scientific
research often analysed in traditional research
publications. May include numerical, textual,
image, video or software information
Data repository
• An online resource where data are deposited
and stored for preservation and access

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CITATION IS STILL THE METRIC OF CHOICE
• Surveys
– John Kratz & Carly Strasser - California Digital Library
Making Data Count. Scientific Data
http://dx.doi.org/10.1038/sdata.2015.39
Future
• Citations
• Downloads
• Altmetrics/”Anything and everything”
• Peer review/community feedback
• Use outside scholarly literature (e.g.
patents)
• Reuse/”actual use”
Current
Sarah Callaghan – RDA Bibliometrics working group

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1400 repositories identified:
• Editorial Content - ensuring that
material is desirable to the
research community.
• Persistence and stability of the
repository, with a steady flow of
new information.
• Thoroughness and detail of
descriptive information.
• Links from data to research
literature.
REPOSITORY SELECTION & EVALUATION

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TYPES OF DATA BY DISCIPLINE
ART & HUMANITIES
CULTURAL
HERITAGE
LANGUAGE CORPUS
IMAGE
COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE &
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
SOFTWARE

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DISCOVERY & CITATION
• Seed data
– 5M data records from over 300 repositories
– Around 3M citations

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DATA CITATION CHALLENGES
Current citation style
(in full text of article as informal citations)
Desired/future citation style
(as formally cited references)
U.S. Dept. of Justice, Bureau of Justice Statistics
(1996): MURDER CASES IN 33 LARGE URBAN
COUNTIES IN THE UNITED STATES, 1988.
Version 1. Inter-university Consortium for Political
and Social Research.
http://dx.doi.org/10.3886/ICPSR09907.v1
Lee, Seung-Jae; Lee, He-Jin; Cho, Ji-Hoon; Rho,
Sangchul; Hwang, Daehee (2008): GSE11574: The
responses of astrocytes stimulated by extracellular a-
synuclein. Gene Expression Omnibus.
http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=G
SE11574

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BEST PRACTICES FOR PARTICIPATION
AND CITATION
• Authors and Researchers
• Repositories, Data publishers, Data providers
• Literature publishers and Funders

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BEST PRACTICE FOR RESEARCHER/DATA
AUTHOR
• Treat data equally
with other citable
research output
• Deposit data in an
established data
repository committed
to long term
preservation
• Practice detailed,
formal data citation in
data and publications

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BEST PRACTICE FOR RESEARCHER/
DATA AUTHOR
• Unique ID in
repository
• Date provided
• Author
• Repository
• URL/DOI
• Title
• Year Published
• Allows creation of a
data citation using
DataCite guidelines
• Compliance with
DataCite Metadata
schema
• Allows matching of
data citations
encountered to
known data records
• Provide metadata to enable citation and discovery

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BEST PRACTICE FOR REPOSITORY / DATA
PUBLISHER / DATA PROVIDER
• Curate and validate
metadata for
completeness,
accuracy, attribution
and consistency
• Issue permanent IDs
for data objects
• Provide unique
landing pages for data
objects
• Establish update and
versioning policies
REUTERS/Kim Hong-Ji

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LITERATURE PUBLISHER & FUNDING
ORGANIZATION
• Establish clear data management plan policies and
guidelines for data deposition
• Develop formal data citation policies and clear
guidance for authors on citation formats
• Enforce requirements for data deposition and
citation
• Establish metadata criteria for persistent and
unique identification of cited data

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Link out directly to the
original item, in this case
a Data Study.

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BENEFITS AND VALUE
Data
Repository
Data Object
metadata
Web of Science
DCI
Publisher
Publication
Researcher
Discovery
Metrics
Value
Citation count API
Metrics
Evaluation
Citation count API
Metrics
Evaluation

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THANK YOU
White paper on best practice & further information
http://wokinfo.com/products_tools/multidisciplinary/dci/
Nigel Robinson
nigel.robinson@thomsonreuters.com