The Data Tags Suite (DATS) model for discovering data access and use requirements

被引:7
作者
Alter, George [1 ]
Gonzalez-Beltran, Alejandra [2 ]
Ohno-Machado, Lucila [3 ]
Rocca-Serra, Philippe [4 ]
机构
[1] Univ Michigan, ICPSR 330 Packard St, Ann Arbor, MI 48104 USA
[2] Rutherford Appleton Lab, Sci Comp Dept, Sci & Technol Facil Council, Harwell Campus, Didcot OX11 0QX, Oxon, England
[3] Univ Calif San Diego, Div Biomed Informat, 9500 Gilman Dr MC 0728, La Jolla, CA 92093 USA
[4] Univ Oxford, Oxford E Res Ctr, 7 Keble Rd, Oxford OX1 3QG, England
来源
GIGASCIENCE | 2020年 / 9卷 / 02期
基金
英国生物技术与生命科学研究理事会;
关键词
data access; data use; data discovery; metadata; confidential data; PROTECTION; POLICY;
D O I
10.1093/gigascience/giz165
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Data reuse is often controlled to protect the privacy of subjects and patients. Data discovery tools need ways to inform researchers about restrictions on data access and re-use. Results: We present elements in the Data Tags Suite (DATS) metadata schema describing data access, data use conditions, and consent information. DATS metadata are explained in terms of the administrative, legal, and technical systems used to protect confidential data. Conclusions: The access and use metadata items in DATS are designed from the perspective of a researcher who wants to find and re-use existing data. We call for standard ways of describing informed consent and data use agreements that will enable automated systems for managing research data.
引用
收藏
页数:10
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