Scaling Up: How Data Curation Can Help Address Key Issues in Qualitative Data Reuse and Big Social Research
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Beschreibung
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 incommon 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
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
Autor*in
Sara Mannheimer
Themen in »Scaling Up: How Data Curation Can Help Address Key Issues in Qualitative Data Reuse and Big Social Research«
Qualitative Data Reuse Big Social Research Data Curation Communities of Practice Theory Qualitative Content Analysis Big Social Data Data Quality Data Comparability Informed Consent Data Privacy Confidentiality Intellectual Property Data Ownership