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Archiving Primary Data: Solutions for Long-Term Studies.

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Author

  • James A Mills
  • Céline Teplitsky
  • Beatriz Arroyo
  • Anne Charmantier
  • Peter H Becker
  • Tim R Birkhead
  • Pierre Bize
  • Daniel T Blumstein
  • Christophe Bonenfant
  • Stan Boutin
  • Andrey Bushuev
  • Emmanuelle Cam
  • Andrew Cockburn
  • Steeve D Côté
  • John C Coulson
  • Francis Daunt
  • Niels J Dingemanse
  • Blandine Doligez
  • Hugh Drummond
  • Richard H M Espie
  • Marco Festa-Bianchet
  • Francesca Frentiu
  • John W Fitzpatrick
  • Robert W Furness
  • Dany Garant
  • Gilles Gauthier
  • Peter R Grant
  • Michael Griesser
  • Lars Gustafsson
  • Bengt Hansson
  • Michael P Harris
  • Frédéric Jiguet
  • Petter Kjellander
  • Erkki Korpimäki
  • Charles J Krebs
  • Luc Lens
  • John D C Linnell
  • Matthew Low
  • Andrew McAdam
  • Antoni Margalida
  • Juha Merilä
  • Anders P Møller
  • Shinichi Nakagawa
  • Jan-Åke Nilsson
  • Ian C T Nisbet
  • Arie J van Noordwijk
  • Daniel Oro
  • Tomas Pärt
  • Fanie Pelletier
  • Jaime Potti
  • Benoit Pujol
  • Denis Réale
  • Robert F Rockwell
  • Yan Ropert-Coudert
  • Alexandre Roulin
  • James S Sedinger
  • Jon E Swenson
  • Christophe Thébaud
  • Marcel E Visser
  • Sarah Wanless
  • David F Westneat
  • Alastair J Wilson
  • Andreas Zedrosser
Show all

Summary, in English

The recent trend for journals to require open access to primary data included in publications has been embraced by many biologists, but has caused apprehension amongst researchers engaged in long-term ecological and evolutionary studies. A worldwide survey of 73 principal investigators (Pls) with long-term studies revealed positive attitudes towards sharing data with the agreement or involvement of the PI, and 93% of PIs have historically shared data. Only 8% were in favor of uncontrolled, open access to primary data while 63% expressed serious concern. We present here their viewpoint on an issue that can have non-trivial scientific consequences. We discuss potential costs of public data archiving and provide possible solutions to meet the needs of journals and researchers.

Publishing year

2015

Language

English

Pages

581-589

Publication/Series

Trends in Ecology & Evolution

Volume

30

Issue

10

Document type

Journal article

Publisher

Elsevier

Topic

  • Other Computer and Information Science

Status

Published

Research group

  • Life History and Functional Ecology
  • Molecular Ecology and Evolution Lab

ISBN/ISSN/Other

  • ISSN: 1872-8383