Data sharing in the context of community-engaged research partnerships

Datos Bibliográficos

ID4601181
AutoresKaren M Emmons (0000-0002-0685-6446, Harvard University, autor de correspondencia), Samuel R Mendez (0000-0003-4402-1885, Harvard University), Rebekka M Lee (0000-0002-5863-7907, Harvard University), Diana Erani (0000-0002-1156-8182, Community Health Center), Lynette Mascioli (Community Health Center), Marlene Abreu (Community Health Center), Susan Adam (0000-0003-1797-7849, Community Health Center), Susan Adams (0000-0001-5629-8414), John Daly (0000-0002-6008-0386, Harvard University), James Daly, Barbara E Bierer (0000-0001-6448-8170, Brigham and Women's Hospital)
Año2023
Volumen325
Páginas115895
Fecha de publicación2023-05-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSocial Science & Medicine (JOURNAL)
Identificadores de la revistaISSN: 0277-9536 • E-ISSN: 1873-5347
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.socscimed.2023.115895
PMID37062144
OpenAlexW4364374868
IdiomaEN
Citas recibidas6
Referencias citadas28

Over the past 20 years, the National Institutes for Health (NIH) has implemented several policies designed to improve sharing of research data, such as the NIH public access policy for publications, NIH genomic data sharing policy, and National Cancer Institute (NCI) Cancer Moonshot public access and data sharing policy. In January 2023, a new NIH data sharing policy has gone into effect, requiring researchers to submit a Data Management and Sharing Plan in proposals for NIH funding (NIH. Supplemental information to the, 2020b; NIH. Final policy for data, 2020a). These policies are based on the idea that sharing data is a key component of the scientific method, as it enables the creation of larger data repositories that can lead to research questions that may not be possible in individual studies (Alter and Gonzalez, 2018; Jwa and Poldrack, 2022), allows enhanced collaboration, and maximizes the federal investment in research. Important questions that we must consider as data sharing is expanded are to whom do benefits of data sharing accrue and to whom do benefits not accrue? In an era of growing efforts to engage diverse communities in research, we must consider the impact of data sharing for all research participants and the communities that they represent. We examine the issue of data sharing through a community-engaged research lens, informed by a long-standing partnership between community-engaged researchers and a key community health organization (Kruse et al., 2022). We contend that without effective community engagement and rich contextual knowledge, biases resulting from data sharing can remain unchecked. We provide several recommendations that would allow better community engagement related to data sharing to ensure both community and researcher understanding of the issues involved and move toward shared benefits. By identifying good models for evaluating the impact of data sharing on communities that contribute data, and then using those models systematically, we will advance the consideration of the community perspective and increase the likelihood of benefits for all

Business · Community engagement · Context (archaeology · Data access · Data sharing · General partnership · Political science · Public relations · Computer Science · Ethics in Clinical Research · Medicine · Research Data Management Practices · Scientific Computing and Data Management