Managing and Sharing Research Data: A Guide to Good Practice - Couverture rigide

Louise Corti Et Al

Couverture rigide

ISBN 10 : 1526460254 ISBN 13 : 9781526460257

Editeur : SAGE Publications Ltd, 2019

Synopsis

Written by experts at the UK Data Archive, with over thirty years of experience in working with and teaching people to work with data, this book is the globally-reaching guide for any postgraduate student or researcher looking to build their data management skills.

Focused on both primary and secondary data and packed with checklists and templates, it contains everything readers need to know for managing all types data before, during, and after the research process. Building on foundational data management techniques, it offers practical advice and insight into the unique skills needed to work with newer forms of data, like social media and big data.

It also demonstrates how to:

- Identify quality data that is credible, ethically-sound, and available for use

- Choose and collect data suitable for particular research questions and project scopes

- Work with personal, communal, administrative, and other sensitive and public data

- Make the most of metadata

- Visualise and share data using innovative platforms like blogs, infographics, and podcasts. 

 

A propos du livre

À propos des auteurs

Louise Corti is an Associate Director at the UK Data Archive and is Service Director of Collections Development and Data Publishing, overseeing the acquisition and ingest of high quality data of interest to social scientists. Her research activities are focused around standards and technologies for reviewing, curating and presenting digital social science data, particularly using open source infrastructures and tools.

She has led research awards and regularly publishes, edits and advises internationally on a wide range of issues relating to the archiving, sharing and reuse of data. In the 90s, Louise helped establish Qualidata, the world first national qualitative data archive, pioneering approaches for and solutions to qualitative data archiving. She has taught sociology, social research methods and statistics, and spent six years working on the design, implementation and analysis of the British Household Panel Study at Essex.

Veerle Van den Eynden manages the Research Data Management team for the UK Data Service. This team provides expertise, guidance and training on data management and data sharing to researchers, to promote good data practices and optimise data sharing. She combines this with a position as Research Data Manager for the Global Challenges project Drugs and (Dis)order at the School of Oriental and African Studies. Veerle has many years of experience researching interactions between people, plants and the environment, using a combination of social and natural science methods, and has experienced first-hand the benefits that data sharing brings to research.

Libby Bishop is the Coordinator for International Data Infrastructures in the Data Archive at GESIS-Leibniz Institute for Social Sciences. She manages connections between GESIS and international data infrastructures, such as the Consortium of European Social Science Data Archives (CESSDA). She is leading a task in the Social Sciences and Humanities Open Science Cloud (SSHOC) project on remote access to sensitive data. She publishes on the methodological and ethical issues of sharing and reusing data.

À propos de la quatrième de couverture

Written by experts from the UK Data Archive with over thirty years of experience in working with and teaching people to work with data, this book is the globally-reaching guide for any postgraduate student or researcher looking to build their data management skills. Â

Détails de l'édition

• Éditeur: SAGE Publications Ltd
• Date d'édition: 2019
• Langue: anglais
• ISBN 10: 1526460254
• ISBN 13: 9781526460257
• Reliure: Relié
• Numéro d'édition: 2
• Nombre de pages: 336
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Allemagne