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Introduction

Data Sharing and Disclosure Limitation Techniques

Datos Bibliográficos

ID12807331
EditoresJoan E Sieber (autor de correspondencia)
Año2006
Volumen1
Número3
Páginas47-49
Fecha de publicación2006-09-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournal of Empirical Research on Human Research Ethics (JOURNAL)
Identificadores de la revistaISSN: 1556-2646 • E-ISSN: 1556-2654
EditorialSAGE Publishing (PUBLISHER • US)
DOI10.1525/jer.2006.1.3.47
PMID19385822
OpenAlexW2007425130
IdiomaEN
Citas recibidas3
Referencias citadas6

THIS SPECIAL SECTION OF JERHRE is in response to the needs of institutions to develop advanced data sharing capabilities. On October 1, 2003, the National Institutes of Health (NIH) initiated a requirement that investigator-initiated proposals for grants with direct costs over $500,000 in any year incorporate plans to accommodate sharing research data. The requirement stipulates that such plans describe the procedures through which shared data would be rendered "free of identifiers that would permit linkages to individual research participants and variables that could lead to deductive disclosure of the identity of individual subjects." (http://grants2.nih.gov/grants/policy/data_sharing). We expect that many researchers who deal with human research data are unfamiliar with the procedures presented in the ensuing articles. These sophisticated procedures have been developed to help protect confidentiality of subjects' data in files that are shared, while simultaneously preserving the analytic value of data for secondary users. Among these are procedures developed by government statisticians that include innovative methods to prevent deductive disclosure of identities. More recently, academic researchers and data experts have adapted or extended these methods. Together, these methods aim to achieve both disclosure limitation and retention of key analytic usefulness of the shared data

Computer security · Confidentiality · Data anonymization · Data science · Data sharing · Government (linguistics · Identifier · Information privacy · Internet privacy · Key (lock · Knowledge management · Unique identifier · Computer Science · Ethics in Clinical Research · Medicine · Privacy-Preserving Technologies in Data

  • Views of Ethical Best Practices in Sharing Individual-Level Data From Medical and Public Health Research

    Open Access•Susan Bull, Nia Roberts et al.•Journal of Empirical Research on…•2015

  • Best Practices for Ethical Sharing of Individual-Level Health Research Data From Low- and Middle-Income Settings

    Open Access•Susan Bull, Phaik Yeong Cheah et al.•Journal of Empirical Research on…•2015

  • Conducting Digital Intervention Research among Immigrant Survivors of Intimate Partner Violence

    Open Access•Bushra Sabri, Jyoti Saha et al.•Journal of Family Violence•2022

  • Sharing Social Science Data

    Joan E Sieber, Joan Sieber•Sharing Social Science Data•1991

  • Essentials of the Disclosure Review Process

    Open Access•Alvan O Zarate, Laura Zayatz•Journal of Empirical Research on…•2006

  • Solving Problems of Disclosure Risk While Retaining Key Analytic Uses of Publicly Released Microdata

    Open Access•JoAnne McFarland O’Rourke, Stephen F Roehrig et al.•Journal of Empirical Research on…•2006

  • Solving Problems of Disclosure Risk in an Academic Setting

    Open Access•Willard L Rodgers, Michael T Nolte•Journal of Empirical Research on…•2006

  • L'ère du chiffre. Systèmes statistiques et traditions nationales/The Age of Numbers. Statistical Systems and National Traditions

    Open Access•Jean-Marc Rohrbasser, Jean-Pierre Beaud et al.•Population•2003

Obras citantes distintas3
Citas por año0,27
Intervalo de citas2015 - 2022 (8)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 3
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