Scaling Up: How Data Curation Can Help Address Key Issues in Qualitative Data Reuse and Big Social Research

Author:   Sara Mannheimer
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2024
ISBN:  

9783031492211


Pages:   142
Publication Date:   03 January 2024
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Scaling Up: How Data Curation Can Help Address Key Issues in Qualitative Data Reuse and Big Social Research


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Overview

This book explores the connections between qualitative data reuse, big social research, and data curation. A review of existing literature identifies the key issues of context, data quality and trustworthiness, data comparability, informed consent, privacy and confidentiality, and intellectual property and data ownership. Through interviews of qualitative researchers, big social researchers, and data curators, the author further examines each key issue and produces new insights about how domain differences affect each community of practice’s viewpoints, different strategies that researchers and curators use to ensure responsible practice, and different perspectives on data curation. The book suggests that encouraging connections between qualitative researchers, big social researchers, and data curators can support responsible scaling up of social research, thus enhancing discoveries in social and behavioral science.

Full Product Details

Author:   Sara Mannheimer
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2024
Weight:   0.443kg
ISBN:  

9783031492211


ISBN 10:   3031492218
Pages:   142
Publication Date:   03 January 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Author Information

Sara Mannheimer, Ph.D., is an Associate Professor and Data Librarian at Montana State University. She earned her Bachelor’s degree in Literature from Bard College, her MS in Information Science from University of North Carolina at Chapel Hill, and her Ph.D. in Library and Information Science from Humboldt University of Berlin. In her work as a librarian, she helps shape practices and theories for curation, sharing, discovery, and preservation of data. Her research examines the social, ethical, and technical issues of a data-driven world. She is currently the project director of the IMLS-funded Responsible AI project, which produces ethical decision-making resources for librarians and archivists who engage with artificial intelligence.

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