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Open data, open review and open dialogue in making social sciences plausible

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  • Vuong, Quan-Hoang

Abstract

A growing awareness of the lack of reproducibility has undermined society’s trust and esteem in social sciences. In some cases, well-known results have been fabricated or the underlying data have turned out to have weak technical foundations.

Suggested Citation

  • Vuong, Quan-Hoang, 2017. "Open data, open review and open dialogue in making social sciences plausible," OSF Preprints du8tj, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:du8tj
    DOI: 10.31219/osf.io/du8tj
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    References listed on IDEAS

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    1. Richard Van Noorden, 2013. "Company offers portable peer review," Nature, Nature, vol. 494(7436), pages 161-161, February.
    2. Declan Butler, 2017. "Gates Foundation announces open-access publishing venture," Nature, Nature, vol. 543(7647), pages 599-599, March.
    3. C. Glenn Begley & Lee M. Ellis, 2012. "Raise standards for preclinical cancer research," Nature, Nature, vol. 483(7391), pages 531-533, March.
    4. repec:pal:palcom:v:2016:y:2016:i:palcomms201617:p:16017- is not listed on IDEAS
    5. Gabriele Bammer, 2016. "What constitutes appropriate peer review for interdisciplinary research?," Palgrave Communications, Palgrave Macmillan, vol. 2(1), pages 1-5, December.
    Full references (including those not matched with items on IDEAS)

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