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Medha Devare

Researcher at International Food Policy Research Institute

Publications -  10
Citations -  104

Medha Devare is an academic researcher from International Food Policy Research Institute. The author has contributed to research in topics: Metadata & Big data. The author has an hindex of 4, co-authored 10 publications receiving 45 citations. Previous affiliations of Medha Devare include CGIAR.

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The Ontologies Community of Practice: A CGIAR Initiative for Big Data in Agrifood Systems

TL;DR: The added value of the Ontologies Community of Practice (CoP) of the CGIAR Platform for Big Data in Agriculture for harnessing relevant expertise in ontology development and identifying innovative solutions that support quality data annotation is discussed.
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COPO: a metadata platform for brokering FAIR data in the life sciences

TL;DR: COPO is a computational system that attempts to address some of these challenges by enabling scientists to describe their research objects using community-sanctioned metadata sets and vocabularies, and then use public or institutional repositories to share them with the wider scientific community.
Journal ArticleDOI

Improving agricultural knowledge management: The AgTrials experience [version 1; referees: 2 approved]

TL;DR: The experience of the AgTrials initiative, an effort to build an online database of agricultural trials applying principles of interoperability and open access, revealed barriers to participation and impediments to interaction, opportunities for improving agricultural knowledge management and a large potential for the use of trial and evaluation data.
Journal ArticleDOI

Improving agricultural knowledge management: The AgTrials experience

TL;DR: The experience of the AgTrials initiative, an effort to build an online database of agricultural trials applying principles of interoperability and open access, revealed barriers to participation and impediments to interaction, opportunities for improving agricultural knowledge management and a large potential for the use of trial and evaluation data.

Data-driven Agricultural Research for Development: A Need for Data Harmonization Via Semantics.

TL;DR: C CGIAR’s Crop Ontology project plays a key role in this, and will soon be enhanced by an Agronomy Ontology (AgrO), which will complement existing crop, livestock, and fish ontologies to enable harmonized approaches to data collection, facilitating data sharing and reuse.