Evidence map›Paper›PMID 29688367›Full record

ArticleDatabase : the journal of biological databases and curation2018

Micropublication: incentivizing community curation and placing unpublished data into the public domain.

Daniela Raciti, Karen Yook, Todd W Harris, Tim Schedl, Paul W Sternberg

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Review
  3. From nematode to Nobel: How community-shared resources fueled the rise ofProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Manual annotation ofF1000Research · 2022
    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

5 authors.

Daniela RacitiDivision of Biology and Biological Engineering 156-29, California Institute of Technology, Pasadena, CA 91125, USA.
Karen YookDivision of Biology and Biological Engineering 156-29, California Institute of Technology, Pasadena, CA 91125, USA.
Todd W HarrisInformatics and Bio-computing Platform, Ontario Institute for Cancer Research, Toronto, ON M5G0A3, Canada.
Tim SchedlDepartment of Genetics, Washington University School of Medicine, St Louis, MO 63110, USA.
Paul W SternbergDivision of Biology and Biological Engineering 156-29, California Institute of Technology, Pasadena, CA 91125, USA.

Funding

WormBase: a core data resource for C. elegans and other nematodesU41HG002223 · NHGRI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI KERSEY, PAUL, SCHEDL, TIM · 2013 to 2017
$20.5M
WormBase: a core data resource for C. elegans and other nematodesU24HG002223 · NHGRI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI TIM SCHEDL, PAUL Warren STERNBERG · 2018 to 2026
$18.9M
Streamlined capture and curation of unpublished dataU01LM012672 · NLM · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI SCHEDL, TIM, STERNBERG, PAUL WARREN · 2017 to 2020
$2.3M
NHGRI NIH HHS U24 HG002223NHGRI NIH HHS U41 HG002223NLM NIH HHS U01 LM012672
6 · The paper itself

Abstract

Large volumes of data generated by research laboratories coupled with the required effort and cost of curation present a significant barrier to inclusion of these data in authoritative community databases. Further, many publicly funded experimental observations remain invisible to curation simply because they are never published: results often do not fit within the scope of a standard publication; trainee-generated data are forgotten when the experimenter (e.g. student, post-doc) leaves the lab; results are omitted from science narratives due to publication bias where certain results are considered irrelevant for the publication. While authors are in the best position to curate their own data, they face a steep learning curve to ensure that appropriate referential tags, metadata, and ontologies are applied correctly to their observations, a task sometimes considered beyond the scope of their research and other numerous responsibilities. Getting researchers to adopt a new system of data reporting and curation requires a fundamental change in behavior among all members of the research community. To solve these challenges, we have created a novel scholarly communication platform that captures data from researchers and directly delivers them to information resources via Micropublication. This platform incentivizes authors to publish their unpublished observations along with associated metadata by providing a deliberately fast and lightweight but still peer-reviewed process that results in a citable publication. Our long-term goal is to develop a data ecosystem that improves reproducibility and accountability of publicly funded research and in turn accelerates both basic and translational discovery. Database URL: www.micropublication.org.

Indexed as

Biomedical ResearchDatabases, FactualData CurationHumansPeriodicals as Topic

Identifiers

PMID29688367
PMCPMC5836261

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.