The Data Use Ontology to streamline responsible access to human biomedical datasets.
The Data Use Ontology to streamline responsible access to human biomedical datasets.
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DOI：
10.1016/j.xgen.2021.100028
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发表时间：
2021-11-10
期刊：
影响因子：
--
通讯作者：
Courtot M
中科院分区：
文献类型：
--
作者：
Lawson J;Cabili MN;Kerry G;Boughtwood T;Thorogood A;Alper P;Bowers SR;Boyles RR;Brookes AJ;Brush M;Burdett T;Clissold H;Donnelly S;Dyke SOM;Freeberg MA;Haendel MA;Hata C;Holub P;Jeanson F;Jene A;Kawashima M;Kawashima S;Konopko M;Kyomugisha I;Li H;Linden M;Rodriguez LL;Morita M;Mulder N;Muller J;Nagaie S;Nasir J;Ogishima S;Ota Wang V;Paglione LD;Pandya RN;Parkinson H;Philippakis AA;Prasser F;Rambla J;Reinold K;Rushton GA;Saltzman A;Saunders G;Sofia HJ;Spalding JD;Swertz MA;Tulchinsky I;van Enckevort EJ;Varma S;Voisin C;Yamamoto N;Yamasaki C;Zass L;Guidry Auvil JM;Nyrönen TH;Courtot M
人类生物医学数据集对于研究和临床研究至关重要，以造福人类健康，也往往包含个人参与者的敏感或潜在识别信息。因此，在处理和提供这些数据时必须谨慎，以遵守道德和监管框架以及知情同意数据条件。为了实现和简化这些生物医学数据集的数据访问，全球基因组学与健康联盟（GA4GH）数据使用和研究人员身份（DURI）工作流程开发并批准了数据使用本体（DUO）标准。DUO是人类和机器可读数据使用术语的分层词汇表，一致且明确地表示数据集的允许数据使用。DUO已由布罗德研究所和桑格研究所等主要国际利益攸关方实施，目前用于全球20多万个数据集的注释。在数据管理和访问中使用DUO有助于研究人员发现和访问相关数据集。DUO注释增加了数据集的公平性，并在整合数据进行二次分析时使用通用数据使用配置文件支持数据链接。DUO使用Web Ontology Language（OWL）实现，为了提高社区意识和参与度，DUO托管在一个开放的集中式GitHub存储库中。DUO与GA4GH护照标准一起，提供了一个新的，高效的，简化的数据授权和访问框架，使全球生物医学数据集的共享增加。生物医学的进步取决于敏感人类数据的高效和合规再利用数据使用本体为同意的数据使用提供术语和定义数据使用本体促进数据集的发现、请求和访问全球超过200，000个数据集已使用数据使用本体进行注释GA4GH数据使用本体（DUO）提供明确的，同意书及其所代表的数据共享政策的机器可读标准语言。Lawson等人描述DUO标准和整个数据访问工作流程的实现，以加快数据访问，同时维护或改进合规流程。
Human biomedical datasets that are critical for research and clinical studies to benefit human health also often contain sensitive or potentially identifying information of individual participants. Thus, care must be taken when they are processed and made available to comply with ethical and regulatory frameworks and informed consent data conditions. To enable and streamline data access for these biomedical datasets, the Global Alliance for Genomics and Health (GA4GH) Data Use and Researcher Identities (DURI) work stream developed and approved the Data Use Ontology (DUO) standard. DUO is a hierarchical vocabulary of human and machine-readable data use terms that consistently and unambiguously represents a dataset’s allowable data uses. DUO has been implemented by major international stakeholders such as the Broad and Sanger Institutes and is currently used in annotation of over 200,000 datasets worldwide. Using DUO in data management and access facilitates researchers’ discovery and access of relevant datasets. DUO annotations increase the FAIRness of datasets and support data linkages using common data use profiles when integrating the data for secondary analyses. DUO is implemented in the Web Ontology Language (OWL) and, to increase community awareness and engagement, hosted in an open, centralized GitHub repository. DUO, together with the GA4GH Passport standard, offers a new, efficient, and streamlined data authorization and access framework that has enabled increased sharing of biomedical datasets worldwide. Biomedical advances depend on the efficient and compliant re-use of sensitive human data The Data Use Ontology standardizes terms and definitions for consented data uses The Data Use Ontology facilitates discovery of, request for, and access to datasets Over 200,000 datasets worldwide have been annotated using the Data Use Ontology The GA4GH Data Use Ontology (DUO) provides unambiguous, machine-readable standard language for consent forms and the data sharing policies they represent. Lawson et al. describe the DUO standard and implementations throughout the data access workflow to expedite data access while maintaining or improving compliant processes.
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影响因子：
14.9
作者：
Shefchek, Kent A.;Harris, Nomi L.;Osumi-Sutherland, David
通讯作者：
Osumi-Sutherland, David
影响因子：
46.9
作者：
Smith, Barry;Ashburner, Michael;Lewis, Suzanna
通讯作者：
Lewis, Suzanna
影响因子：
30.8
作者：
Lappalainen I;Almeida-King J;Kumanduri V;Senf A;Spalding JD;Ur-Rehman S;Saunders G;Kandasamy J;Caccamo M;Leinonen R;Vaughan B;Laurent T;Rowland F;Marin-Garcia P;Barker J;Jokinen P;Torres AC;de Argila JR;Llobet OM;Medina I;Puy MS;Alberich M;de la Torre S;Navarro A;Paschall J;Flicek P
通讯作者：
Flicek P
影响因子：
4.5
作者：
Dyke SO;Philippakis AA;Rambla De Argila J;Paltoo DN;Luetkemeier ES;Knoppers BM;Brookes AJ;Spalding JD;Thompson M;Roos M;Boycott KM;Brudno M;Hurles M;Rehm HL;Matern A;Fiume M;Sherry ST
通讯作者：
Sherry ST
DOI：
10.1007/s10817-013-9296-3
发表时间：
2014-06-01
期刊：
JOURNAL OF AUTOMATED REASONING
影响因子：
--
作者：
Kazakov，Yevgeny;Kroetzsch，Markus;Simancik，Frantisek
通讯作者：
Simancik，Frantisek