Data Curation Implications of Qualitative Data Reuse and Big Social Research

Objective: Big social data (such as social media and blogs) and archived qualitative data (such as interview transcripts, field notebooks, and diaries) are similar, but their respective communities of practice are under-connected. This paper explores shared challenges in qualitative data reuse and b...

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Autor principal:	Sara Mannheimer
Formato:	article
Lenguaje:	EN
Publicado:	University of Massachusetts Medical School, Lamar Soutter Library 2021
Materias:	data curation qualitative data reuse big social research Bibliography. Library science. Information resources Z
Acceso en línea:	https://doaj.org/article/43415b44d6744e2a9b9f68048292efbc
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spelling	oai:doaj.org-article:43415b44d6744e2a9b9f68048292efbc2021-11-18T17:48:07ZData Curation Implications of Qualitative Data Reuse and Big Social Research10.7191/jeslib.2021.12182161-3974https://doaj.org/article/43415b44d6744e2a9b9f68048292efbc2021-11-01T00:00:00Zhttps://escholarship.umassmed.edu/jeslib/vol10/iss4/5/https://doaj.org/toc/2161-3974Objective: Big social data (such as social media and blogs) and archived qualitative data (such as interview transcripts, field notebooks, and diaries) are similar, but their respective communities of practice are under-connected. This paper explores shared challenges in qualitative data reuse and big social research and identifies implications for data curation. Methods: This paper uses a broad literature search and inductive coding of 300 articles relating to qualitative data reuse and big social research. The literature review produces six key challenges relating to data use and reuse that are present in both qualitative data reuse and big social research—context, data quality, data comparability, informed consent, privacy & confidentiality, and intellectual property & data ownership. Results: This paper explores six key challenges related to data use and reuse for qualitative data and big social research and discusses their implications for data curation practices. Conclusions: Data curators can benefit from understanding these six key challenges and examining data curation implications. Data curation implications from these challenges include strategies for: providing clear documentation; linking and combining datasets; supporting trustworthy repositories; using and advocating for metadata standards; discussing alternative consent strategies with researchers and IRBs; understanding and supporting deidentification challenges; supporting restricted access for data; creating data use agreements; supporting rights management and data licensing; developing and supporting alternative archiving strategies. Considering these data curation implications will help data curators support sounder practices for both qualitative data reuse and big social research.Sara MannheimerUniversity of Massachusetts Medical School, Lamar Soutter Libraryarticledata curationqualitative data reusebig social researchBibliography. Library science. Information resourcesZENJournal of eScience Librarianship, Vol 10, Iss 4, p 1218 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	data curation qualitative data reuse big social research Bibliography. Library science. Information resources Z
spellingShingle	data curation qualitative data reuse big social research Bibliography. Library science. Information resources Z Sara Mannheimer Data Curation Implications of Qualitative Data Reuse and Big Social Research
description	Objective: Big social data (such as social media and blogs) and archived qualitative data (such as interview transcripts, field notebooks, and diaries) are similar, but their respective communities of practice are under-connected. This paper explores shared challenges in qualitative data reuse and big social research and identifies implications for data curation. Methods: This paper uses a broad literature search and inductive coding of 300 articles relating to qualitative data reuse and big social research. The literature review produces six key challenges relating to data use and reuse that are present in both qualitative data reuse and big social research—context, data quality, data comparability, informed consent, privacy & confidentiality, and intellectual property & data ownership. Results: This paper explores six key challenges related to data use and reuse for qualitative data and big social research and discusses their implications for data curation practices. Conclusions: Data curators can benefit from understanding these six key challenges and examining data curation implications. Data curation implications from these challenges include strategies for: providing clear documentation; linking and combining datasets; supporting trustworthy repositories; using and advocating for metadata standards; discussing alternative consent strategies with researchers and IRBs; understanding and supporting deidentification challenges; supporting restricted access for data; creating data use agreements; supporting rights management and data licensing; developing and supporting alternative archiving strategies. Considering these data curation implications will help data curators support sounder practices for both qualitative data reuse and big social research.
format	article
author	Sara Mannheimer
author_facet	Sara Mannheimer
author_sort	Sara Mannheimer
title	Data Curation Implications of Qualitative Data Reuse and Big Social Research
title_short	Data Curation Implications of Qualitative Data Reuse and Big Social Research
title_full	Data Curation Implications of Qualitative Data Reuse and Big Social Research
title_fullStr	Data Curation Implications of Qualitative Data Reuse and Big Social Research
title_full_unstemmed	Data Curation Implications of Qualitative Data Reuse and Big Social Research
title_sort	data curation implications of qualitative data reuse and big social research
publisher	University of Massachusetts Medical School, Lamar Soutter Library
publishDate	2021
url	https://doaj.org/article/43415b44d6744e2a9b9f68048292efbc
work_keys_str_mv	AT saramannheimer datacurationimplicationsofqualitativedatareuseandbigsocialresearch
_version_	1718420721085972480

Data Curation Implications of Qualitative Data Reuse and Big Social Research

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