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About the event

Peer review is an area of open research that has received a growing amount of attention in the efforts to make it more transparent. However, the peer review process around data is still emerging despite the increase in data sharing. This session explores how peer review of data could be approached from both the perspective of a publisher and that of a researcher. 

In a panel discussion with audience interaction, we explore three key areas: 

  • Why should we review data? What are the benefits to the research community, researchers and journals?  
  • What does it mean to conduct peer review of data? What types of data are being reviewed, beyond the ‘traditional’ spreadsheets of quantitative data? What can we learn from new models of data reviews?  
  • Who is doing the work? How can we make the work of reviewing data sustainable, and the burden equitably shared? Do journals need a new pool of reviewers? What skills do reviewers need, and how do they acquire these?  

UPDATE (AFTER THE EVENT):  The YouTube playlist hosting all recordings of Cambridge Data Week 2020 is now available. Alternatively, all the recordings, transcripts and available presentations are present in Apollo, the University of Cambridge repository. The specific resources for "How do we peer review data? New sustainable and effective models" can also be found in Apollo. You can also read the blog summarising the webinar. Some questions which there was no time to explore during the live session are also answered. The blogs for all webinars of the Cambridge Data Week are all hosted in our blog platform Unlocking Research.

Panel

Stephen Eglen

Dr Stephen Eglen is Professor of Computational Neuroscience at the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge. Stephen has a long-standing interest in open science and reproducible research.  He co-leads the CODECHECK project for reproducibility of computations in scientific publications. He is an associate editor for bioRxiv and is on the senior editorial board of Scientific Data.   

Kiera McNeice

Since completing a PhD in chemistry Kiera has worked in various roles to support the sharing and reuse of research data, including with the British Library, Royal Society of Chemistry, and Europe’s Horizon 2020 programme. At Cambridge University Press, Kiera works within the Scholarly Communications R&D team to support the Press’s vision for open research, with a particular focus on open data and research transparency. A large part of her role involves working directly with the Press’s journals to develop appropriate policies and processes for data sharing and review. 

Lauren Cadwallader

Dr Lauren Cadwallader (Chair) is the Open Research Manager at PLOS, a nonprofit, Open Access publisher empowering researchers to accelerate progress in science and medicine by leading a transformation in research communication. Up until September 2020 she worked for Cambridge University Libraries running the Research Data Management Facility and supporting researchers with handling and sharing research data according to best practices. Prior to this, she developed Open Research training at the University and worked in the Open Access team.  

Schedule

Friday 27 Nov 2020, 11:00–12:00 GMT

Registration

Follow this link to register for the Zoom event.

Please note that the event will be recorded for future dissemination. We run our online events on the Zoom platform and we recommend you install this ahead of time. Access details will follow in joining instructions. There is a limit to the number of attendees we can have so we will operate on a first come, first served basis.

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