Agriculture Data Platform – Institutional Data Repository – Selected Aspects

DOI 10.7160/aol.2023.150409
No 4/2023, December
pp. 127-133

Stočes, M., Vaněk, J., Jarolímek, J., Novák, V., Masner, J., Šimek, P., Kánská, E., Havránek, M., Kubata, K. and Voral, V. (2023) "Agriculture Data Platform – Institutional Data Repository – Selected Aspects", AGRIS on-line Papers in Economics and Informatics, Vol. 15, No. 4, pp. 127-133. ISSN 1804-1930. DOI 10.7160/aol.2023.150409.


This paper presents selected aspects of a data platform to store agricultural data. It analyses the key user and system requirements for the data platform. The presented aspects were identified through a literature review, interviews and discussions with selected data experts and researchers and future users of the platform. The following issues of the data platform are discussed in the paper: architecture, data types, data source types, metadata, disciplinary interfaces, data sharing, data reusability, Open Science, FAIR data principles, and further data processing options. Part of the knowledge from this article was used in the design and implementation of the Institutional Data Repository called Data Management Platform (DaMP.) CZU (Czech University of Life Sciences Prague) (OPENAI, 2023).


Data models, data modelling, metadata, data sharing, open science, FAIR data principles, data platform, agriculture data, life sciences, institutional data repositories, data process, DOI, FAIR data.


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