MEDFORD: A human- and machine-readable metadata markup language

Polina Shpilker; John Freeman; Hailey McKelvie; Jill Ashey; Jay-Miguel Fonticella; Hollie Putnam; Jane Greenberg; Lenore Cowen; Alva Couch; Noah M Daniels

doi:10.1093/database/baac065

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MEDFORD: A human- and machine-readable metadata markup language

Journal article

Open access

Peer reviewed

MEDFORD: A human- and machine-readable metadata markup language

Polina Shpilker, John Freeman, Hailey McKelvie, Jill Ashey, Jay-Miguel Fonticella, Hollie Putnam, Jane Greenberg, Lenore Cowen, Alva Couch and Noah M Daniels

Database : the journal of biological databases and curation, v 2022

17 Aug 2022

DOI: https://doi.org/10.1093/database/baac065

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Title: MEDFORD: A human- and machine-readable metadata markup language
Creators: Polina Shpilker - Tufts University
John Freeman - Tufts University
Hailey McKelvie - Tufts University
Jill Ashey - University of Rhode Island
Jay-Miguel Fonticella - Tufts University
Hollie Putnam - University of Rhode Island
Jane Greenberg - Drexel University
Lenore Cowen - Tufts University
Alva Couch - Tufts University
Noah M Daniels - University of Rhode Island
Publication Details: Database : the journal of biological databases and curation, v 2022
Publisher: Oxford University Press
Resource Type: Journal article
Language: English
Academic Unit: Information Science
Web of Science ID: WOS:000841397100001
Scopus ID: 2-s2.0-85136909583
Other Identifier: 991019168746704721

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Collaboration types: Domestic collaboration
Web of Science research areas: Mathematical & Computational Biology

MEDFORD: A human- and machine-readable metadata markup language

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UN Sustainable Development Goals (SDGs)

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