Cristin-resultat-ID: 1983079
Sist endret: 31. januar 2022, 23:12
Resultat
Multimediaprodukt
2021

EDAM ontology - introduction (2 mins) Narrated by Dr. Melissa Black, written by Dr. Melissa Black and Matúš Kalaš

Bidragsytere:
  • Melissa Black og
  • Matúš Kalaš

Utgiver

YouTube

Om resultatet

Multimediaprodukt
Publiseringsår: 2021
Internasjonalt
Video

Klassifisering

Vitenskapsdisipliner

Simulering, visualisering, signalbehandling, bildeanalyse

Emneord

Håndtering av forskningsdata • Computational Biology • Livsvitenskap • Ontologi

Beskrivelse Beskrivelse

Tittel

EDAM ontology - introduction (2 mins) Narrated by Dr. Melissa Black, written by Dr. Melissa Black and Matúš Kalaš

Sammendrag

EDAM [https://doi.org/10.7490/f1000research.1118900.1] is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life-cycle. Thanks to the annotations with EDAM, computational tools, workflows, standards, data, and learning materials are easier to find, compare, choose, and integrate. EDAM contributes to open science by allowing semantic annotation of processed data, thus making the data more understandable, findable, and comparable. EDAM and its applications lower the barrier and effort for scientists and citizens alike, towards doing scientific research in a more open, reliable, and inclusive way.

Bidragsytere

Melissa Black

  • Tilknyttet:
    Eier
Inaktiv cristin-person

Matus Kalas

Bidragsyterens navn vises på dette resultatet som Matúš Kalaš
  • Tilknyttet:
    Eier
    ved Institutt for informatikk ved Universitetet i Bergen
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