img Leseprobe Leseprobe

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

Sara Mannheimer

PDF
ca. 42,79
Amazon iTunes Thalia.de Weltbild.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Informatik

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.

Weitere Titel von diesem Autor
Weitere Titel in dieser Kategorie
Cover Cyber Operations
Jerry M. Couretas
Cover Cyber Operations
Jerry M. Couretas

Kundenbewertungen

Schlagwörter

Confidentiality, Big Social Research, Data Ownership, Informed Consent, Data Curation, Communities of Practice Theory, Data Privacy, Data Comparability, Big Social Data, Data Quality, Intellectual Property, Qualitative Data Reuse, Qualitative Content Analysis