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47 lines (47 loc) · 1.65 KB
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cff-version: 1.2.0
message: If you use this software, please cite it using the metadata from this file.
title: "AIDRIN - AI Data Readiness Infrastructure"
type: software
authors:
- family-names: Hiniduma
given-names: Kaveen
affiliation: The Ohio State University
orcid: "https://orcid.org/0009-0006-8516-0215"
- family-names: Byna
given-names: Suren
email: sbyna@lbl.gov
affiliation: The Ohio State University
orcid: "https://orcid.org/0000-0003-3048-3448"
- family-names: Bez
given-names: Jean Luca
email: jlbez@lbl.gov
affiliation: Lawrence Berkeley National Laboratory
orcid: "https://orcid.org/0000-0002-3915-1135"
- family-names: Madduri
given-names: Ravi
affiliation: Argonne National Laboratory
orcid: "https://orcid.org/0000-0003-2130-2887"
url: https://aidrin.io
repository-code: https://github.com/idtlab/AIDRIN
identifiers:
- type: doi
value: 10.5281/zenodo.21798062
description: Zenodo archive of AIDRIN
abstract: AIDRIN is a tool developed to assess the readiness of datasets for artificial intelligence applications. It helps users quickly evaluate the quality, structure, and completeness of their data to ensure it meets the foundational requirements for machine learning and other AI workflows.
keywords:
- data readiness
- AI
- data management
preferred-citation:
type: software
authors:
- family-names: Hiniduma
given-names: Kaveen
- family-names: Byna
given-names: Suren
- family-names: Bez
given-names: Jean Luca
- family-names: Madduri
given-names: Ravi
title: "AIDRIN - AI Data Readiness Infrastructure"
doi: "10.5281/zenodo.21798062"