This workshop is available to be delivered face-to-face or virtually.
Academic journals increasingly require researchers to share the data underpinning their publications. Many researchers are still not confident about the basics of data sharing however, and are unsure about whether they have permission to share, where the data should be deposited, and whether they will receive credit for sharing.*
This workshop discusses research data sharing and research data policies as part of the manuscript and publication workflow. What do editors and peer reviewers expect, how researchers can maximise the benefits of data sharing post-publication?
Support your researchers with research data training
- Virtual workshops for up to 125 researchers – appropriate for those new to data sharing, at any career stage, in all disciplines
- Available to institutions globally, scheduled at a time that suits your researchers
- Highly interactive with exercises, Q&A sessions and a workbook to keep
- Receive a post-workshop report containing researcher feedback. In 2019, 89% of have researchers have rated their workshop as excellent or good and 97% feel more confident in their skills
Institutions already benefiting from data training include Cancer Research UK, RMIT University, the International Development Research Centre (IDRC), and the University of Birmingham.
Create an agenda for your academy
This virtual workshop consists of three modules, which can be scheduled for the days and times that suit your researchers best.
- Module 1: Research Data and Your Journal
This module discusses research data from the perspective of journals, editors and peer reviewers. Participants will learn to identify the features and requirements of research data policies, and repositories are introduced as an option for data sharing.
- Module 2: Research Data and Your Manuscript
This module introduces the practical measures that authors should take to ensure that they are sharing data appropriately with journal editors, peer reviewers and future readers. Guidance and best practice tips are given on how to write excellent data availability statements and data citations.
- Module 3: Research Data and Your Published Paper
Participants will learn about the final steps which are needed to share their research data after manuscript acceptance. Methods for data dissemination and promotion after publication will be outlined, as well as the advantages for authors who choose to share their data openly.
* Digital Science, Mark Hahnel, Leslie D. McIntosh, Alan Hyndman, Grace Baynes, Merce Crosas, Brian Nosek, Kathleen Shearer, Mariette van Selm, Greg Goodey, Nature Research (2020). The State of Open Data 2020