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Agriculture Data Platform – Institutional Data Repository – Selected Aspects
by
Jarolímek, Jan
, Masner, Jan
, Havránek, Martin
, Stočes, Michal
, Vaněk, Jiří
, Novák, Vojtěch
, Šimek, Pavel
, Kubata, Karel
, Voral, Vladimir
, Kánská, Eva
in
agriculture data
/ data modelling
/ data models
/ data platform
/ data process
/ data sharing
/ DOI
/ FAIR data
/ FAIR data principles
/ institutional data repositories
/ life sciences
/ metadata
/ open science
/ Research and Development/Tech Change/Emerging Technologies
2023
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Agriculture Data Platform – Institutional Data Repository – Selected Aspects
by
Jarolímek, Jan
, Masner, Jan
, Havránek, Martin
, Stočes, Michal
, Vaněk, Jiří
, Novák, Vojtěch
, Šimek, Pavel
, Kubata, Karel
, Voral, Vladimir
, Kánská, Eva
in
agriculture data
/ data modelling
/ data models
/ data platform
/ data process
/ data sharing
/ DOI
/ FAIR data
/ FAIR data principles
/ institutional data repositories
/ life sciences
/ metadata
/ open science
/ Research and Development/Tech Change/Emerging Technologies
2023
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Do you wish to request the book?
Agriculture Data Platform – Institutional Data Repository – Selected Aspects
by
Jarolímek, Jan
, Masner, Jan
, Havránek, Martin
, Stočes, Michal
, Vaněk, Jiří
, Novák, Vojtěch
, Šimek, Pavel
, Kubata, Karel
, Voral, Vladimir
, Kánská, Eva
in
agriculture data
/ data modelling
/ data models
/ data platform
/ data process
/ data sharing
/ DOI
/ FAIR data
/ FAIR data principles
/ institutional data repositories
/ life sciences
/ metadata
/ open science
/ Research and Development/Tech Change/Emerging Technologies
2023
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Agriculture Data Platform – Institutional Data Repository – Selected Aspects
Journal Article
Agriculture Data Platform – Institutional Data Repository – Selected Aspects
2023
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Overview
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).
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