Public Data Archiving in Ecology and Evolution: How Well Are We Doing?

PLoS Biol. 2015 Nov 10;13(11):e1002295. doi: 10.1371/journal.pbio.1002295. eCollection 2015.

Abstract

Policies that mandate public data archiving (PDA) successfully increase accessibility to data underlying scientific publications. However, is the data quality sufficient to allow reuse and reanalysis? We surveyed 100 datasets associated with nonmolecular studies in journals that commonly publish ecological and evolutionary research and have a strong PDA policy. Out of these datasets, 56% were incomplete, and 64% were archived in a way that partially or entirely prevented reuse. We suggest that cultural shifts facilitating clearer benefits to authors are necessary to achieve high-quality PDA and highlight key guidelines to help authors increase their data's reuse potential and compliance with journal data policies.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Access to Information*
  • Animals
  • Biological Evolution*
  • Biology / methods*
  • Data Accuracy
  • Data Curation
  • Datasets as Topic* / standards
  • Ecology / methods*
  • Guidelines as Topic
  • Humans
  • Internet
  • Periodicals as Topic*
  • Workforce

Grants and funding

DGR and SAB were supported by grants from the Australian National University (http://biology.anu.edu.au), the Natural Science and Engineering Research Council of Canada (http://www.nserc-crsng.gc.ca/index_eng.asp) and the Fonds de Recherche du Québec Nature et Technologies (http://www.frqnt.gouv.qc.ca/accueil). LEBK and RL were supported by Australian Research Council Future Fellowships (http://www.arc.gov.au/ncgp/futurefel/future_default.htm). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.