A metadata-driven approach to data repository design

被引:13
|
作者
Harvey, Matthew J. [1 ]
McLean, Andrew [2 ]
Rzepa, Henry S. [3 ]
机构
[1] Imperial Coll London, High Performance Comp Serv, London, England
[2] Imperial Coll London, ICT Div, London, England
[3] Imperial Coll London, Dept Chem, South Kensington Campus, London SW7 2AZ, England
来源
关键词
Data repository; Metadata-driven; DataCite; Data preview; Mpublish; CHEMISTRY;
D O I
10.1186/s13321-017-0190-6
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The design and use of a metadata-driven data repository for research data management is described. Metadata is collected automatically during the submission process whenever possible and is registered with DataCite in accordance with their current metadata schema, in exchange for a persistent digital object identifier. Two examples of data preview are illustrated, including the demonstration of a method for integration with commercial software that confers rich domain-specific data analytics without introducing customisation into the repository itself.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] A metadata-driven approach to data repository design
    Matthew J. Harvey
    Andrew McLean
    Henry S. Rzepa
    Journal of Cheminformatics, 9
  • [3] Performance Evaluation of the Metadata-driven MASi Research Data Management Repository Service
    Grunzke, Richard
    Mueller-Pfefferkorn, Ralph
    Nagel, Wolfgang E.
    Hartmann, Volker
    Jejkal, Thomas
    Kollai, Helen
    Herold, Hendrik
    Meinel, Gotthard
    Dressler, Christiane
    Dolhoff, Julia
    Schrade, Torsten
    Stanek, Julia
    Hoffmann, Alexander
    Herres-Pawlis, Sonja
    2018 26TH EUROMICRO INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, AND NETWORK-BASED PROCESSING (PDP 2018), 2018, : 334 - 338
  • [4] A metadata-driven approach to loading and querying heterogeneous scientific data
    Leinfelder, Ben
    Tao, Jing
    Costa, Duane
    Jones, Matthew B.
    Servilla, Mark
    O'Brien, Margaret
    Burt, Chad
    ECOLOGICAL INFORMATICS, 2010, 5 (01) : 3 - 8
  • [5] The MASi repository service - Comprehensive, metadata-driven and multi-community research data management
    Grunzke, Richard
    Hartmann, Volker
    Jejkal, Thomas
    Kollai, Helen
    Prabhune, Ajinkya
    Herold, Hendrik
    Deicke, Aline
    Dressler, Christiane
    Dolhoff, Julia
    Stanek, Julia
    Hoffmann, Alexander
    Mueller-Pfefferkorn, Ralph
    Schrade, Torsten
    Meinel, Gotthard
    Herres-Pawlis, Sonja
    Nagel, Wolfgang E.
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 94 : 879 - 894
  • [6] Metadata-Driven Solution for Enterprise Data Allocation
    Wang Hong-xia
    Seng De-wen
    Liu Chang
    INTERNATIONAL CONFERENCE OF CHINA COMMUNICATION (ICCC2010), 2010, : 126 - +
  • [7] Research on Metadata-Driven Data Quality Assessment Architecture
    Huang, Gang
    Wu, Xiuying
    Yuan, Man
    2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST), 2013, : 419 - 422
  • [8] LabBook: Metadata-driven Social Collaborative Data Analysis
    Kandogan, Eser
    Roth, Mary
    Schwarz, Peter
    Hui, Joshua
    Terrizzano, Ignacio
    Christodoulakis, Christina
    Miller, Renee J.
    PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 2015, : 431 - 440
  • [9] Research on Metadata-driven Enterprise Data Modeling System
    Miao, Hong
    Sun, Jingsheng
    Ge, Shilun
    Wang, Nianxin
    ELECTRONIC-BUSINESS INTELLIGENCE: FOR CORPORATE COMPETITIVE ADVANTAGES IN THE AGE OF EMERGING TECHNOLOGIES & GLOBALIZATION, 2010, 14 : 335 - +
  • [10] Metadata-Driven Error Detection
    Visengeriyeva, Larysa
    Abedjan, Ziawasch
    30TH INTERNATIONAL CONFERENCE ON SCIENTIFIC AND STATISTICAL DATABASE MANAGEMENT (SSDBM 2018), 2018,