Information Integration for Machine Actionable Data Management Plans

International Journal of Digital Curation

Andreas Rauber¹  Tomasz Miksa²  Roman Ganguly³  Paolo Budroni³ 

[1]TU Wien

[2]TU Wien, SBA Research

[3]University of Vienna

关键词: IJDC;    International Journal of Digital Curation;    curation;    preservation;    digital curation;    digital preservation;    DCC;    UKOLN;   

DOI  :  10.2218/ijdc.v12i1.529

学科分类：农业科学（综合）

来源: UKOLN,The UK Office for Library & Information Networking

【 摘 要 】

Data management plans are free-form text documents describing the data used and produced in scientific experiments. The complexity of data-driven experiments requires precise descriptions of tools and datasets used in computations to enable their reproducibility and reuse. Data management plans fall short of these requirements. In this paper, we propose machine-actionable data management plans that cover the same themes as standard data management plans, but particular sections are filled with information obtained from existing tools. We present mapping of tools from the domains of digital preservation, reproducible research, open science, and data repositories to data management plan sections. Thus, we identify the requirements for a good solution and identify its limitations. We also propose a machine-actionable data model that enables information integration. The model uses ontologies and is based on existing standards.

【 授权许可】

CC BY