Qualitative Data Sharing
Data Repositories and Academic Libraries as Key Partners in Addressing Challenges
Datos Bibliográficos
| ID | 3756942 |
|---|---|
| Autores | Sara Mannheimer (0000-0002-1433-6782, Montana State University, Bozeman, MT, USA, autor de correspondencia), Amy Pienta (0000-0003-1174-6118, Inter-university Consortium for Political and Social Research, Ann Arbor, MI, USA), Dessislava Kirilova (0000-0002-3824-9982, Syracuse University), Colin Elman (0000-0003-1004-4640, Syracuse University), A Wutich (0000-0003-4164-1632, Arizona State University, Tempe, AZ, USA) |
| Año | 2019 |
| Volumen | 63 |
| Número | 5 |
| Páginas | 643-664 |
| Fecha de publicación | 2019-05-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | American Behavioral Scientist (JOURNAL) |
| Identificadores de la revista | ISSN: 0002-7642 • E-ISSN: 1552-3381 |
| Editorial | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0002764218784991 |
| PMID | 31693016 |
| OpenAlex | W2809809464 |
| Idioma | EN |
| Citas recibidas | 24 |
| Referencias citadas | 53 |
Data sharing is increasingly perceived to be beneficial to knowledge production, and is therefore increasingly required by federal funding agencies, private funders, and journals. As qualitative researchers are faced with new expectations to share their data, data repositories and academic libraries are working to address the specific challenges of qualitative research data. This article describes how data repositories and academic libraries can partner with researchers to support three challenges associated with qualitative data sharing: (1) obtaining informed consent from participants for data sharing and scholarly reuse, (2) ensuring that qualitative data are legally and ethically shared, and (3) sharing data that cannot be deidentified. This article also describes three continuing challenges of qualitative data sharing that data repositories and academic libraries cannot specifically address-research using qualitative big data, copyright concerns, and risk of decontextualization. While data repositories and academic libraries cannot provide easy solutions to these three continuing challenges, they can partner with researchers and connect them with other relevant specialists to examine these challenges. Ultimately, this article suggests that data repositories and academic libraries can help researchers address some of the challenges associated with ethical and lawful qualitative data sharing
Data science · Data sharing · Internet privacy · Knowledge management · Political science · Public relations · Qualitative property · Qualitative research · Reuse · Sociology · World Wide Web · Colorectal Cancer Screening and Detection · Computer Science · Data Analysis and Archiving · Engineering · Ethics in Clinical Research · Medicine
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Using Model-Based Clustering to Improve Qualitative Inquiry
Open Ethnographic Archiving as Feminist, Decolonizing Practice
Predicting the longevity of resources shared in scientific publications
Ethical Issues in Social Science Research Employing Big Data
Establishing open science research priorities in health psychology
Factors influencing the trustworthiness of digital repositories in Nigerian university libraries
Exploring the relevance of Orcid as a source of study of data sharing activities at the individual-level
Data reusability for migration research
Publishing publicly available interview data
Sharing Research Data
Ethical challenges in quantitative secondary data analyses. Insights from international migration research”
Il riutilizzo dei dati qualitativi
The Ethical and Practical Challenges of Archiving Refugee Accounts
Qualitative data sharing and synthesis for sustainability science
Moral bureaucracies and social network research
Making the case for reusing and sharing data in qualitative consumer research
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The Challenges of Data Sharing
Åpen forskning og antropologiens status som Fair
Transparency for Text-Based Sources
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Big Data, Little Data, No Data
Experimental evidence of massive-scale emotional contagion through social networks
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Reworking Qualitative Data
Privacy and rationality in individual decision making
Conducting secondary analysis of qualitative data
Faster than the speed of print
Whose background? comments on a discourse-analytic reconstruction of the Warsaw uprising
Networked privacy
Getting the most from archived qualitative data
Can We Re-Use Qualitative Data via Secondary Analysis? Notes on Some Terminological and Substantive Issues
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Qualitative archiving
Ethical Sharing and Reuse of Qualitative Data
Adding Time into the Mix
A Proposal for Archiving Context for Secondary Analysis
The Contexts of Context
Transparent Social Inquiry
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Active Citation
Transparency
Data Access and Research Transparency in the Qualitative Tradition
Qualitative Data Archiving
What Is the Value of Social Science? Challenges for Researchers and Government Funders
Where are human subjects in Big Data research? The emerging ethics divide
Revisiting Qualitative Data Reuse
Using the HRAF Collection of Ethnography in Conjunction With the Standard Cross-Cultural Sample and the Ethnographic Atlas
A Reflexive Account of Reusing Qualitative Data
(Re)Using Qualitative Data
Qualitative Data Archiving
Qualitative Researchers' Understandings of Their Practice and the Implications for Data Archiving and Sharing
Whose Data are They Anyway
Food, Water, and Scarcity
The Data Are Out There, or Are They? Implications for Archiving and Revisiting Qualitative Data
| Obras citantes distintas | 24 |
|---|---|
| Citas por año | 3,43 |
| Intervalo de citas | 2019 - 2026 (8) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 22 |