Engaging Researchers with Data Management: The Cookbook

Engaging Researchers with Data Management: The Cookbook Connie Clare, Maria Cruz, Elli Papadopoulou, James Savage, Marta Teperek, Yan Wang, Iza Witkowska, and Joanne Yeomans
Forthcoming in 2019

Effective Research Data Management (RDM) is a key component of research integrity and reproducible research, and its importance is increasingly emphasised by funding bodies, governments, and research institutions around the world. However, many researchers are unfamiliar with RDM best practices, and research support staff are faced with the difficult task of delivering support to researchers across different disciplines and career stages. What strategies can institutions use to solve these problems?

Engaging Researchers with Data Management is an invaluable collection of 24 case studies, drawn from institutions across the globe, that demonstrate clearly and practically how to engage the research community with RDM. These case studies together illustrate the variety of innovative strategies research institutions have developed to engage with their researchers about managing research data. Each study is presented concisely and clearly, highlighting the essential ingredients that led to its success and challenges encountered along the way. By interviewing key staff about their experiences and the organisational context, the authors of this book have created an essential resource for organisations looking to increase engagement with their research communities.

This handbook is a collaboration by research institutions, for research institutions. It aims not only to inspire and engage, but also to help drive cultural change towards better data management. It has been written for anyone interested in RDM, or simply, good research practice.


Engaging Researchers with Data Management: The Cookbook

Connie Clare, Maria Cruz, Elli Papadopoulou, James Savage, Marta Teperek, Yan Wang, Iza Witkowska, and Joanne Yeomans
| Forthcoming 2019
ISBN Paperback: 9781783747979
ISBN Hardback: 9781783747986
ISBN Digital (PDF): 9781783747993
ISBN Digital ebook (epub): 9781783748006
ISBN Digital ebook (mobi): 9781783748013
ISBN Digital (XML): 9781783748020
DOI: 10.11647/OBP.0185
Subject codes: BIC: GPS (Research methods: general), GP (Research and information: general), KJMV6 (Research and development management), UNC (Data capture and analysis), UNF (Data mining); BISAC: COM021030 ( COMPUTERS/ Database/ Data Mining), SCI043000 SCIENCE/ Research & Methodology), REF020000 (REFERENCE/ Research), SOC024000 (SOCIAL SCIENCES/ Research).