DBRepo: a Semantic Digital Repository for Relational Databases

Author:

Weise MartinORCID,Staudinger MoritzORCID,Michlits CorneliaORCID,Gergely EvaORCID,Stytsenko KirillORCID,Ganguly RamanORCID,Rauber AndreasORCID

Abstract

Data curation is a complex, multi-faceted task. While dedicated data stewards are starting to take care of these activities in close collaboration with researchers for many types of (usually file-based) data in many institutions, this is rarely yet the case for data held in relational databases. Beyond large-scale infrastructures hosting e.g. climate or genome data, researchers usually have to create, build and maintain their database, care about security patches, and feed data into it in order to use it in their research. Data curation, if at all, usually happens after a project is finished, when data may be exported for digital preservation into file repository systems. We present DBRepo, a semantic digital repository for relational databases in a private cloud setting designed to (1) host research data stored in relational databases right from the beginning of a research project, (2) provide separation of concerns, allowing the researchers to focus on the domain aspects of the data and their work while bringing in experts to handle classic data management tasks, (3) improve findability, accessibility and reusability by offering semantic mapping of metadata attributes, and (4) focus on reproducibility in dynamically evolving data by supporting versioning and precise identification/cite-ability for arbitrary subsets of data. 

Funder

Bundesministerium für Bildung, Wissenschaft und Forschung

Publisher

Edinburgh University Library

Subject

General Earth and Planetary Sciences,General Environmental Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. FAIR Data Austria – Paving the Way for Enhanced Research Data Management and Collaboration;Zeitschrift für Hochschulentwicklung;2023-11-29

2. Reproducible Query Processing and Data Citation of in Situ Soil Moisture Data;2023 IEEE 19th International Conference on e-Science (e-Science);2023-10-09

3. Towards A Data Repository for Educational Factories;2022 International Conference on Data and Software Engineering (ICoDSE);2022-11-02

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