04104nam a22006135i 4500 978-3-031-49222-8 DE-He213 20251030110906.0 cr nn 008mamaa 240101s2024 sz | s |||| 0|eng d 9783031492228 978-3-031-49222-8 10.1007/978-3-031-49222-8 doi QA76.9.Q36 UN bicssc COM021000 bisacsh UN thema Mannheimer, Sara. author. aut http://id.loc.gov/vocabulary/relators/aut 68803 Scaling Up: How Data Curation Can Help Address Key Issues in Qualitative Data Reuse and Big Social Research [electronic resource] / by Sara Mannheimer. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. IX, 142 p. 1 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Synthesis Lectures on Information Concepts, Retrieval, and Services, 1947-9468 Chapter 1 Introduction -- Chapter 2 Theoretical approach, methods, and definitions -- Chapter 3 Qualitative data reuse in practice -- Chapter 4 Big social research in practice -- Chapter 5 Comparison of issues and data curation strategies -- Chapter 6 Researchers and data curators respond to key issues -- Chapter 7 Insights from interviews with researchers and curators -- Chapter 8 Scaling up responsibly connecting communities of practice. 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. Quantitative research. Data protection. Data structures (Computer science). 66708 Information theory. 57783 Data protection Law and legislation. 66490 Application software. Information technology Moral and ethical aspects. 64910 Data Analysis and Big Data. Data and Information Security. 66492 Data Structures and Information Theory. 66709 Privacy. 66493 Computer and Information Systems Applications. Information Ethics. 68804 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031492211 Printed edition: 9783031492235 Printed edition: 9783031492242 Synthesis Lectures on Information Concepts, Retrieval, and Services, 1947-9468 65575 https://doi.org/10.1007/978-3-031-49222-8 ZDB-2-SXSC 56979 56979