Evidence map›Paper›PMID 37831745›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Exchanging words: Engaging the challenges of sharing qualitative research data.

James M DuBois, Jessica Mozersky, Meredith Parsons, Heidi A Walsh, Annie Friedrich, Amy Pienta

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Ethical Considerations for Clinical Data Sharing in Craniofacial Research: Recommendations From a Multidisciplinary Working Group.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2026
    Article
  3. Article
  4. Article
  5. Talk of Family: How Institutional Overlap Shapes Family-Related Discourse Across Social Class.The Russell Sage Foundation journal of the social sciences : RSF · 2024
    Article
  6. The refined Pathways to Cures Research Roadmap for multiple sclerosis cures.Multiple sclerosis (Houndmills, Basingstoke, England) · 2024
    Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

James M DuBoisBioethics Research Center, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110.ORCID 0000-0002-3712-7051
Jessica MozerskyBioethics Research Center, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110.ORCID 0000-0002-4942-4571
Meredith ParsonsBioethics Research Center, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110.
Heidi A WalshBioethics Research Center, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110.ORCID 0000-0001-9447-6496
Annie FriedrichBioethics Research Center, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110.
Amy PientaICPSR, Institute for Social Research, University of Michigan, Ann Arbor, MI 48106.ORCID 0000-0003-1174-6118

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational Sciences (UL1)UL1RR024992 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$45.4M
SHARING QUALITATIVE RESEARCH DATA: IDENTIFYING AND ADDRESSING ETHICAL AND PRACTICAL BARRIERSR01HG009351 · NHGRI · WASHINGTON UNIVERSITY · PI James M Dubois · 2017 to 2026
$4.0M
NCATS NIH HHS UL1 TR002345NCRR NIH HHS UL1 RR024992NHGRI NIH HHS R01 HG009351
6 · The paper itself

Abstract

In January 2023, a new NIH policy on data sharing went into effect. The policy applies to both quantitative and qualitative research (QR) data such as data from interviews or focus groups. QR data are often sensitive and difficult to deidentify, and thus have rarely been shared in the United States. Over the past 5 y, our research team has engaged stakeholders on QR data sharing, developed software to support data deidentification, produced guidance, and collaborated with the ICPSR data repository to pilot the deposit of 30 QR datasets. In this perspective article, we share important lessons learned by addressing eight clusters of questions on issues such as where, when, and what to share; how to deidentify data and support high-quality secondary use; budgeting for data sharing; and the permissions needed to share data. We also offer a brief assessment of the state of preparedness of data repositories, QR journals, and QR textbooks to support data sharing. While QR data sharing could yield important benefits to the research community, we quickly need to develop enforceable standards, expertise, and resources to support responsible QR data sharing. Absent these resources, we risk violating participant confidentiality and wasting a significant amount of time and funding on data that are not useful for either secondary use or data transparency and verification.

Indexed as

data de-identificationdata sharingFAIR principlesqualitative researchresearch compliance

Identifiers

PMID37831745
PMCPMC10614603

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.