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Scaling Up: How Data Curation Can Help Address Key Issues in Qualitative Data Reuse and Big Social Research
Sara Mannheimer
出版
Springer Nature
, 2024-01-01
主題
Mathematics / Probability & Statistics / General
Computers / Security / General
Computers / Information Theory
Computers / Internet / Online Safety & Privacy
Computers / Data Science / General
Philosophy / Ethics & Moral Philosophy
Mathematics / Probability & Statistics / Stochastic Processes
Computers / Programming / Algorithms
Computers / General
ISBN
3031492226
9783031492228
URL
http://books.google.com.hk/books?id=r9PrEAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.