Work

Advancing FAIR Data Management in Livestock: Towards Standardized Metadata

Year: 2024

Type: article

Abstract: The field of farm animals is embarking on a journey towards FAIR (Findable, Accessible, Interoperable, and Reusable) data management, which is also relevant to the 3R (reduce, replace, refine) principle for animal testing. However, metadata standardisation remains a major challenge, as it is often overlooked due to the absence of a commonly accepted standard in the livestock community. As a starting point and regarding the species-specific projects PIGWEB and IGG, we focus mainly on phenotypic data. The FBN is also part of the NFDI4Biodiversity project. In this context, a comparative analysis of established and ratified standards was conducted. ABCD standard proved a promising candidate for establishing standardised metadata, as it is very flexible and allows the integration of missing terms. Moreover, the ABCD may also serve as a basis for other livestock data. This work highlights the imperative of adopting standardised metadata practices to enhance FAIR data in respect to accessibility, reusability and interoperability.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13325092

Authors: Fischer, Sarah O., Holetschek, Jörg, Melzer, Nina

Institutions: Research Institute for Farm Animal Biology (FBN), Botanic Garden and Botanical Museum Berlin

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: green

OpenAlex ID: W6911859659

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