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

Mannheimer, Sara

Rilegato

ISBN 10: 3031492218 ISBN 13: 9783031492211

Casa editrice: Springer Nature, 2024

Riassunto

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.

Su questo libro

Informazioni sull?autore

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.

Dalla quarta di copertina

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.

• Identifies six key issues that are held in common between qualitative data reuse and big social research
  
• Presents the results of interviews with three communities of practice who work with social research and social data
  
• Explains how researchers can use the information provided to responsibly scale up their research practices
  

Dettagli dell?edizione

• Editore: Springer Nature
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 3031492218
• ISBN 13: 9783031492211
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 152
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania