Evidence map›Paper›PMID 24492920›Full record

ArticlePLoS biology2014

Troubleshooting public data archiving: suggestions to increase participation.

Dominique G Roche, Robert Lanfear, Sandra A Binning, Tonya M Haff, Lisa E Schwanz, Kristal E Cain, Hanna Kokko, Michael D Jennions, Loeske E B Kruuk

Abstract read
In one paragraph

Article in PLoS biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. A FAIR road to a bioAFM databank.Nature methods · 2026
    Article
  2. Researchers' perceptions of the trustworthiness, for reuse purposes, of government health data in Victoria, Australia: Implications for policy and practice.Health information management : journal of the Health Information Management Association of Australia · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Importance of timely metadata curation to the global surveillance of genetic diversity.Conservation biology : the journal of the Society for Conservation Biology · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Data rescue: saving environmental data from extinction.Proceedings. Biological sciences · 2022
    Article
  12. Closing the knowledge-action gap in conservation with open science.Conservation biology : the journal of the Society for Conservation Biology · 2022
    Article
  13. Article
  14. Review
  15. Article
  16. Toward an Integrated Genome-Based Surveillance ofFrontiers in microbiology · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. Rescuing Troves of Hidden Ecological Data to Tackle Emerging Mosquito-Borne Diseases.Journal of the American Mosquito Control Association · 2019
    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

9 authors.

Dominique G RocheDivision of Evolution, Ecology and Genetics, Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia ; Australian Research Council Centre of Excellence for Coral Reef Studies, Australian National University, Canberra, Australian Capital Territory, Australia.
Robert LanfearDivision of Evolution, Ecology and Genetics, Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia.
Sandra A BinningDivision of Evolution, Ecology and Genetics, Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia ; Australian Research Council Centre of Excellence for Coral Reef Studies, Australian National University, Canberra, Australian Capital Territory, Australia.
Tonya M HaffDivision of Evolution, Ecology and Genetics, Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia.
Lisa E SchwanzDivision of Evolution, Ecology and Genetics, Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia.
Kristal E CainDivision of Evolution, Ecology and Genetics, Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia.
Hanna KokkoDivision of Evolution, Ecology and Genetics, Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia.
Michael D JennionsDivision of Evolution, Ecology and Genetics, Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia.
Loeske E B KruukDivision of Evolution, Ecology and Genetics, Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia ; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increasing number of publishers and funding agencies require public data archiving (PDA) in open-access databases. PDA has obvious group benefits for the scientific community, but many researchers are reluctant to share their data publicly because of real or perceived individual costs. Improving participation in PDA will require lowering costs and/or increasing benefits for primary data collectors. Small, simple changes can enhance existing measures to ensure that more scientific data are properly archived and made publicly available: (1) facilitate more flexible embargoes on archived data, (2) encourage communication between data generators and re-users, (3) disclose data re-use ethics, and (4) encourage increased recognition of publicly archived data.

Indexed as

CommunicationCommunication BarriersCost-Benefit AnalysisDatabases, FactualHumansInformation Dissemination

Identifiers

PMID24492920
PMCPMC3904821

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.