GAVIP: A Platform for Gaia Data Analysis
Daniel Vagg, Derek O'Callaghan, Fionn \'O h\'Og\'ain, Sheila McBreen,, Lorraine Hanlon, David Lynn, and William O'Mullane

TL;DR
GAVIP is a platform enabling scientists to deploy and share data analysis code close to Gaia's massive astronomical datasets, enhancing accessibility, reproducibility, and collaborative research.
Contribution
This paper introduces GAVIP, a novel platform that allows near-data code deployment and sharing for Gaia data analysis, addressing scalability and reproducibility challenges.
Findings
GAVIP supports deployment of user code close to Gaia data.
The platform facilitates sharing and reproducibility of scientific experiments.
GAVIP enhances accessibility to large astronomical datasets.
Abstract
Gaia is a major European Space Agency (ESA) astrophysics mission designed to map and analyse 10 stars, ultimately generating more than 1 PetaByte of data products. As Gaia data becomes publicly available and reaches a wider audience, there is an increasing need to facilitate the further use of Gaia products without needing to download large datasets. The Gaia Added Value Interface Platform (GAVIP) is designed to address this challenge by providing an innovative platform within which scientists can submit and deploy code, packaged as "Added Value Interfaces" (AVIs), which will be executed close to the data. Deployed AVIs and associated outputs may also be made available to other GAVIP platform users, thus providing a mechanism for scientific experiment reproducibility. This paper describes the capabilities and features of GAVIP.
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