000 03621nab|a22007457a|4500
999 _c62629
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008 200910s2020||||xxu|||p|op||||00||0|eng|d
022 _a2666-3899 (Online)
024 8 _ahttps://doi.org/10.1016/j.patter.2020.100105
040 _aMX-TxCIM
041 _aeng
100 1 _aArnaud, E.
_94903
245 1 4 _aThe Ontologies Community of Practice :
_ba CGIAR initiative for big data in agrifood systems
260 _aCambridge, MA (USA) :
_bCell Press,
_c2020.
500 _aPeer review
500 _aOpen Access
520 _aHeterogeneous and multidisciplinary data generated by research on sustainable global agriculture and agrifood systems requires quality data labeling or annotation in order to be interoperable. As recommended by the FAIR principles, data, labels, and metadata must use controlled vocabularies and ontologies that are popular in the knowledge domain and commonly used by the community. Despite the existence of robust ontologies in the Life Sciences, there is currently no comprehensive full set of ontologies recommended for data annotation across agricultural research disciplines. In this paper, we discuss 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. The Ontologies CoP stimulates knowledge sharing among stakeholders, such as researchers, data managers, domain experts, experts in ontology design, and platform development teams.
546 _aText in English
650 7 _2AGROVOC
_99002
_aData
650 7 _aAgricultural research
_gAGROVOC
_2
_91006
650 7 _2AGROVOC
_98810
_aOntology
650 7 _2AGROVOC
_99689
_aAgrifood systems
700 1 _92572
_aLaporte, M.A.
700 0 _911558
_aSoonho Kim
700 1 _916129
_aAubert, C.
700 1 _916130
_aLeonelli, S.
700 1 _92968
_aMiro, B.
700 1 _95922
_aCooper, L.
700 1 _916131
_aJaiswal, P.
700 1 _aKruseman, G.
_gSocioeconomics Program
_gFormerly Sustainable Agrifood Systems
_8I1706841
_94555
700 1 _9864
_aShrestha, R.
_8INT2832
_gGenetic Resources Program
700 1 _916132
_aButtigieg, P.L.
700 1 _916133
_aMungall, C.J.
700 1 _aPietragalla, J.
_8CPIJ01
_gFormerly Integrated Breeding Program
_91413
700 1 _916134
_aAgbona, A.
700 1 _911559
_aMuliro, J.
700 1 _916135
_aDetras, J.
700 1 _916136
_aHualla, V.
700 1 _aRathore, A.
_8001712937
_gExcellence in Breeding
_gGenetic Resources Program
_97897
700 1 _aDas, R.R.
_gExcellence in Breeding
_gGenetic Resources Program
_8001713367
_916137
700 1 _916138
_aDieng, I.
700 1 _96779
_aBauchet, G.J.
700 1 _916139
_aMenda, N.
700 1 _95927
_aPommier, C.
700 1 _916140
_aShaw, F.
700 1 _916141
_aLyon, D.
700 1 _94905
_aMwanzia, L.
700 1 _916142
_aJuarez, H.
700 1 _916143
_aBonaiuti, E.
700 1 _916144
_aChiputwa, B.
700 1 _916145
_aObileye, O.
700 1 _916146
_aAuzoux, S.
700 1 _95914
_aDzale Yeumo, E.
700 1 _916147
_aMueller, L.A.
700 1 _912737
_aSilverstein, K.
700 1 _916148
_aLafargue, A.
700 1 _916149
_aAntezana, E.
700 1 _92576
_aDevare, M.
700 1 _916150
_aKing, B.
773 0 _tPatterns
_gv. 1, no. 7, art. 100105
_dCambridge, MA (USA) : Cell Press, 2020.
_x2666-3899
856 4 _yOpen Access through DSpace
_uhttps://hdl.handle.net/10883/20962
942 _cJA
_n0
_2ddc