MEtaData Format for Open Reef Data (MEDFORD)

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

doi:10.1007/978-3-030-98876-0_18

Book chapter

MEtaData Format for Open Reef Data (MEDFORD)

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

Metadata and Semantic Research, pp 206-211

01 Apr 2022

DOI: https://doi.org/10.1007/978-3-030-98876-0_18

Featured in Collection : UN Sustainable Development Goals @ Drexel

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Abstract

Coral reef data

Metadata

Research accessibility

Reproducibility of research is critical for science. Computational biology research presents a significant challenge, given the need to track critical details, such as software version or genome draft iteration. Metadata research infrastructures, while greatly improved, often assume a level of programming skills in their user community, or rely on expert curators to ensure that key information is not lost. This paper introduces MEDFORD, a new human-readable, easily-editable and templatable metadata language for scientists to collocate all the details relevant to their experiments. We provide an overview of the underlying design principles, language, and current and planned support infrastructure for parsing and translating MEDFORD into other metadata formats. MEDFORD 0.9 has been specifically designed for the coral research community, with initial metadata generated from RNA-Seq analyses of coral transcriptomes and coral photo collections. Notably, the format is generally applicable and useful for many types of scientific metadata generated by non-computer science experts.

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1 citations in Web of Science

3 citations in Scopus

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Details

Title: MEtaData Format for Open Reef Data (MEDFORD)
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: Metadata and Semantic Research, pp 206-211
Series: Communications in Computer and Information Science
Publisher: Springer International Publishing; Cham
Resource Type: Book chapter
Language: English
Academic Unit: Information Science
Web of Science ID: WOS:000934018400018
Scopus ID: 2-s2.0-85128491200
Other Identifier: 991019173700804721

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Collaboration types: Domestic collaboration
Web of Science research areas: Computer Science, Artificial Intelligence; Computer Science, Information Systems; Computer Science, Theory & Methods; Information Science & Library Science