Evidence map›Paper›PMID 30971690›Full record

ArticleScientific data2019

A data citation roadmap for scholarly data repositories.

Martin Fenner, Mercè Crosas, Jeffrey S Grethe, David Kennedy, Henning Hermjakob, Phillippe Rocca-Serra, Gustavo Durand, Robin Berjon, Sebastian Karcher, Maryann Martone and 1 more

Abstract read
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Does the use of unusual combinations of datasets contribute to greater scientific impact?Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Identifying Genomic Data Sources from Biomedical Literature.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Martin FennerDataCite, Hannover, Germany.
Mercè CrosasInstitute for Quantitative Social Science, Harvard University, Cambridge, MA, USA.
Jeffrey S GretheUniversity of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-5212-7052
David KennedyUniversity of Massachusetts Medical School, Worcester, MA, USA.ORCID http://orcid.org/0000-0002-9377-0797
Henning HermjakobEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Hinxton, Cambridgeshire, UK.ORCID http://orcid.org/0000-0001-8479-0262
Phillippe Rocca-SerraOxford e-Research Centre, University of Oxford, Oxford, UK.
Gustavo DurandInstitute for Quantitative Social Science, Harvard University, Cambridge, MA, USA.
Robin BerjonStandard Analytics, New York, NY, USA.ORCID http://orcid.org/0000-0002-1731-5346
Sebastian KarcherQualitative Data Repository, Syracuse University, Syracuse, NY, USA.
Maryann MartoneUniversity of California San Diego, La Jolla, CA, USA.
Tim ClarkUniversity of Virginia School of Medicine, Charlottesville, VA, 22903, USA. twc8q@virginia.edu.ORCID http://orcid.org/0000-0003-4060-7360

Funding

Resource DiscoveryP41EB019936 · NIBIB · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI David Nelson Kennedy · 2016 to 2026
$15.2M
Exposing the Deep Content of the Publication: Knowledge Extraction for Neuroimaging in Child PsychiatryR01MH083320 · NIMH · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI FRAZIER, JEAN A, KENNEDY, DAVID NELSON · 2009 to 2020
$6.3M
Argumentation and linked-metadata services for reproducible target validationU01HG009452 · NHGRI · UNIVERSITY OF VIRGINIA · PI CLARK, TIMOTHY W · 2016 to 2018
$1.5M
NHGRI NIH HHS U01 HG009452NIBIB NIH HHS P41 EB019936NIMH NIH HHS R01 MH083320U.S. Department of Health & Human Services | National Institutes of Health (NIH) U24HL126127
6 · The paper itself

Abstract

This article presents a practical roadmap for scholarly data repositories to implement data citation in accordance with the Joint Declaration of Data Citation Principles, a synopsis and harmonization of the recommendations of major science policy bodies. The roadmap was developed by the Repositories Expert Group, as part of the Data Citation Implementation Pilot (DCIP) project, an initiative of FORCE11.org and the NIH-funded BioCADDIE ( https://biocaddie.org ) project. The roadmap makes 11 specific recommendations, grouped into three phases of implementation: a) required steps needed to support the Joint Declaration of Data Citation Principles, b) recommended steps that facilitate article/data publication workflows, and c) optional steps that further improve data citation support provided by data repositories. We describe the early adoption of these recommendations 18 months after they have first been published, looking specifically at implementations of machine-readable metadata on dataset landing pages.

Indexed as

Scholarly CommunicationDatasets as TopicGuidelines as TopicInformation DisseminationInformation Storage and Retrieval

Identifiers

PMID30971690
PMCPMC6472386

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.