From Policy to Practice: Data Sharing Challenges and Opportunities for Mixed Methods Research in the Era of U.S. Open Science Initiatives

The “Year of Open Science” initiative, spearheaded by the White House in 2023, catalyzed the adoption of national open science policies across U.S. Federal Government agencies, but open science is an international movement. This paper elucidates the evolving landscape of open science policies, particularly focusing on the Data Management and Sharing Plans by agencies like NIH, NSF, and CDC. While quantitative research (and qualitative research to some degree) has received considerable attention in data sharing, this paper highlights the underexplored terrain of mixed methods research. Through detailed analysis and examples, it advocates for tailored guidelines and collaborative efforts to bridge the gap in data sharing practices, emphasizing the unique challenges and opportunities inherent in mixed methods research.

Authors

Institutions

Publication Details

Journal
Journal of Mixed Methods Research
Published
2024-11-06
DOI
https://doi.org/10.1177/15586898241298429
Citations
1
Primary Topic
Data Analysis and Archiving
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From Policy to Practice: Data Sharing Challenges and Opportunities for Mixed Methods Research in the Era of U.S. Open Science Initiatives

Nao Hagiwara, Joseph J. Gallo
1 citations
Journal of Mixed Methods Research
Data Analysis and Archiving
1.13
article

From Policy to Practice: Data Sharing Challenges and Opportunities for Mixed Methods Research in the Era of U.S. Open Science Initiatives

Nao Hagiwara, Joseph J. Gallo
article en
1 citations

Abstract

The “Year of Open Science” initiative, spearheaded by the White House in 2023, catalyzed the adoption of national open science policies across U.S. Federal Government agencies, but open science is an international movement. This paper elucidates the evolving landscape of open science policies, particularly focusing on the Data Management and Sharing Plans by agencies like NIH, NSF, and CDC. While quantitative research (and qualitative research to some degree) has received considerable attention in data sharing, this paper highlights the underexplored terrain of mixed methods research. Through detailed analysis and examples, it advocates for tailored guidelines and collaborative efforts to bridge the gap in data sharing practices, emphasizing the unique challenges and opportunities inherent in mixed methods research.

Journal of Mixed Methods ResearchVol. 19(2)
Johns Hopkins University (US), University of Virginia (US)
Partnerships for the goals
Openalex Percentile: Top 15%
Data Analysis and Archiving
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.