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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…mehr

Produktbeschreibung
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.
Autorenporträt
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.
Rezensionen
This book is a must have for anyone teaching or learning about this topic. The reader is taken on a journey of discovery and at the end will be well equipped to manage and share research data in all aspects. Jane Fry