Literature DB >> 24361065

The availability of research data declines rapidly with article age.

Timothy H Vines1, Arianne Y K Albert2, Rose L Andrew3, Florence Débarre4, Dan G Bock3, Michelle T Franklin5, Kimberly J Gilbert3, Jean-Sébastien Moore6, Sébastien Renaut3, Diana J Rennison3.   

Abstract

Policies ensuring that research data are available on public archives are increasingly being implemented at the government [1], funding agency [2-4], and journal [5, 6] level. These policies are predicated on the idea that authors are poor stewards of their data, particularly over the long term [7], and indeed many studies have found that authors are often unable or unwilling to share their data [8-11]. However, there are no systematic estimates of how the availability of research data changes with time since publication. We therefore requested data sets from a relatively homogenous set of 516 articles published between 2 and 22 years ago, and found that availability of the data was strongly affected by article age. For papers where the authors gave the status of their data, the odds of a data set being extant fell by 17% per year. In addition, the odds that we could find a working e-mail address for the first, last, or corresponding author fell by 7% per year. Our results reinforce the notion that, in the long term, research data cannot be reliably preserved by individual researchers, and further demonstrate the urgent need for policies mandating data sharing via public archives.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2013        PMID: 24361065     DOI: 10.1016/j.cub.2013.11.014

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  86 in total

1.  Data curation: Act to staunch loss of research data.

Authors:  Andrew Gonzalez; Pedro R Peres-Neto
Journal:  Nature       Date:  2015-04-23       Impact factor: 49.962

Review 2.  Scientific integrity issues in Environmental Toxicology and Chemistry: Improving research reproducibility, credibility, and transparency.

Authors:  Christopher A Mebane; John P Sumpter; Anne Fairbrother; Thomas P Augspurger; Timothy J Canfield; William L Goodfellow; Patrick D Guiney; Anne LeHuray; Lorraine Maltby; David B Mayfield; Michael J McLaughlin; Lisa S Ortego; Tamar Schlekat; Richard P Scroggins; Tim A Verslycke
Journal:  Integr Environ Assess Manag       Date:  2019-02-28       Impact factor: 2.992

3.  Do corresponding authors take responsibility for their work? A covert survey.

Authors:  Teun Teunis; Sjoerd P F T Nota; Joseph H Schwab
Journal:  Clin Orthop Relat Res       Date:  2014-08-15       Impact factor: 4.176

4.  Maximizing legacy and impact of primary research: a call for better reporting of results.

Authors:  Neal R Haddaway
Journal:  Ambio       Date:  2014-05-29       Impact factor: 5.129

5.  Natural history collections-based research: progress, promise, and best practices.

Authors:  Bryan S McLean; Kayce C Bell; Jonathan L Dunnum; Bethany Abrahamson; Jocelyn P Colella; Eleanor R Deardorff; Jessica A Weber; Amanda K Jones; Fernando Salazar-Miralles; Joseph A Cook
Journal:  J Mammal       Date:  2015-11-24       Impact factor: 2.416

6.  ElVisML: an open data format for the exchange and storage of electrophysiological data in ophthalmology.

Authors:  Torsten Strasser; Tobias Peters; Herbert Jägle; Eberhart Zrenner
Journal:  Doc Ophthalmol       Date:  2017-11-11       Impact factor: 2.379

7.  EPA's proposed transparency rule: Factors to consider, many; planets to live on, one.

Authors:  David B Allison; Harvey V Fineberg
Journal:  Proc Natl Acad Sci U S A       Date:  2020-01-24       Impact factor: 11.205

8.  Reasoning over taxonomic change: exploring alignments for the Perelleschus use case.

Authors:  Nico M Franz; Mingmin Chen; Shizhuo Yu; Parisa Kianmajd; Shawn Bowers; Bertram Ludäscher
Journal:  PLoS One       Date:  2015-02-20       Impact factor: 3.240

Review 9.  A systems approach to infectious disease.

Authors:  Manon Eckhardt; Judd F Hultquist; Robyn M Kaake; Ruth Hüttenhain; Nevan J Krogan
Journal:  Nat Rev Genet       Date:  2020-02-14       Impact factor: 53.242

Review 10.  Reveal, Don't Conceal: Transforming Data Visualization to Improve Transparency.

Authors:  Tracey L Weissgerber; Stacey J Winham; Ethan P Heinzen; Jelena S Milin-Lazovic; Oscar Garcia-Valencia; Zoran Bukumiric; Marko D Savic; Vesna D Garovic; Natasa M Milic
Journal:  Circulation       Date:  2019-10-28       Impact factor: 29.690

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.