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UK Reproducibility Network open and transparent research practices survey dataset

  • Lukas Hughes-Noehrer
  • , Noémie Aubert Bonn
  • , Marcello De Maria
  • , Thomas Rhys Evans
  • , Emily K. Farran
  • , Laura Fortunato
  • , Emma L. Henderson
  • , Neil Jacobs
  • , Marcus R. Munafò
  • , Suzanne L.K. Stewart
  • , Andrew J. Stewart
  • University of Manchester
  • University of Reading
  • University of Greenwich
  • University of Surrey
  • University of Oxford
  • Santa Fe Institute
  • University of Bristol
  • University of Chester

Research output: Contribution to journalArticlepeer-review

4   Link opens in a new tab Citations (SciVal)

Abstract

Openness and transparency in the research process are a prerequisite to the production of high quality research outputs. Efforts to maximise these features have substantially accelerated in recent years, placing open and transparent research practices at the forefront of funding and related priorities, and encouraging investment in resources and infrastructure to enable such practices. Despite these efforts, there has been no systematic documentation of current practices, infrastructure, or training and resources that support open and transparent research in the UK. To address this gap, we developed and conducted the Open and Transparent Research Practices survey, a large-scale audit study completed by research-active staff in UK research institutions to better understand existing practices, needs, support, and barriers faced when implementing open and transparent research. The data presented here capture responses from over 2,500 research-active staff based at 15 institutions affiliated with the UK Reproducibility Network. The data provide a snapshot of open research practices that can be used to identify barriers, training needs, and areas that require greater investments.

Original languageEnglish
Article number912
JournalScientific Data
Volume11
Issue number1
Early online date23 Aug 2024
DOIs
Publication statusPublished - 23 Aug 2024

Funding

We would first like to thank everyone who participated in the survey. We also want to thank everyone involved in early discussions about and conception of the survey, as well as staff at participating institutions who helped with ethical clearance, promotion of the survey, and recruitment of participants. Specifically, Iain Brennan (University of Hull), Tanita Casci (University of Oxford), Leah Maughan (Northumbria University), Emma Norris (Brunel), Eike Rinke (University of Leeds), Shoaib Sufi (University of Manchester), and Rhiannon Wilson (University of Bristol). We further want to thank Research England for funding this study through the Research England Development Fund.

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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