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Main Authors: Meroño-Peñuela, Albert, Massey, Joe, Newman, Andrew, Simperl, Elena
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2501.17013
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author Meroño-Peñuela, Albert
Massey, Joe
Newman, Andrew
Simperl, Elena
author_facet Meroño-Peñuela, Albert
Massey, Joe
Newman, Andrew
Simperl, Elena
contents In this paper, we provide a technical vision for key enabling elements for the architecture of the UK National Data Library (NDL) with a strong focus on building it as an AI-ready data infrastructure through standardised vocabularies, automated analysis tools, and interoperability services. We follow the ODI Multilayer Interoperability Framework (MIF) for data stewardship, covering central socio-technical aspects for the NDL including user-centric approaches to service design and governance.
format Preprint
id arxiv_https___arxiv_org_abs_2501_17013
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle How an AI-ready National Data Library would help UK science
Meroño-Peñuela, Albert
Massey, Joe
Newman, Andrew
Simperl, Elena
Digital Libraries
In this paper, we provide a technical vision for key enabling elements for the architecture of the UK National Data Library (NDL) with a strong focus on building it as an AI-ready data infrastructure through standardised vocabularies, automated analysis tools, and interoperability services. We follow the ODI Multilayer Interoperability Framework (MIF) for data stewardship, covering central socio-technical aspects for the NDL including user-centric approaches to service design and governance.
title How an AI-ready National Data Library would help UK science
topic Digital Libraries
url https://arxiv.org/abs/2501.17013