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Envisaging a global infrastructure to exploit the potential of digitised collections

2023-11-30Journal article Open access
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dc.contributor.authorGroom, Quentin
dc.contributor.authorDillen, Mathias
dc.contributor.authorAddink, Wouter
dc.contributor.authorAriño, Arturo H.
dc.contributor.authorBölling, Christian
dc.contributor.authorBonnet, Pierre
dc.contributor.authorCecchi, Lorenzo
dc.contributor.authorEllwood, Elizabeth R.
dc.contributor.authorFigueira, Rui
dc.contributor.authorGagnier, Pierre-Yves
dc.contributor.authorGrace, Olwen
dc.contributor.authorGüntsch, Anton
dc.contributor.authorHardy, Helen
dc.contributor.authorHuybrechts, Pieter
dc.contributor.authorHyam, Roger
dc.contributor.authorJoly, Alexis
dc.contributor.authorKommineni, Vamsi Krishna
dc.contributor.authorLarridon, Isabel
dc.contributor.authorLivermore, Laurence
dc.contributor.authorLopes, Ricardo Jorge
dc.contributor.authorMeeus, Sofie
dc.contributor.authorMiller, Jeremy
dc.contributor.authorMilleville, Kenzo
dc.contributor.authorPanda, Renato
dc.contributor.authorPignal, Marc
dc.contributor.authorPoelen, Jorrit
dc.contributor.authorRistevski, Blagoj
dc.contributor.authorRobertson, Tim
dc.contributor.authorRufino, Ana C.
dc.contributor.authorSantos, Joaquim
dc.contributor.authorSchermer, Maarten
dc.contributor.authorScott, Ben
dc.contributor.authorSeltmann, Katja
dc.contributor.authorTeixeira, Heliana
dc.contributor.authorTrekels, Maarten
dc.contributor.authorGaikwad, Jitendra
dc.date.accessioned2023-12-13T13:20:37Z
dc.date.available2023-12-13T13:20:37Z
dc.date.issued2023-11-30
dc.date.updated2023-12-13T13:10:22Z
dc.description.abstractTens of millions of images from biological collections have become available online over the last two decades. In parallel, there has been a dramatic increase in the capabilities of image analysis technologies, especially those involving machine learning and computer vision. While image analysis has become mainstream in consumer applications, it is still used only on an artisanal basis in the biological collections community, largely because the image corpora are dispersed. Yet, there is massive untapped potential for novel applications and research if images of collection objects could be made accessible in a single corpus. In this paper, we make the case for infrastructure that could support image analysis of collection objects. We show that such infrastructure is entirely feasible and well worth investing in.pt_PT
dc.description.sponsorshipThis work was supported by European Cooperation in Science and Technology (COST) as part of the Mobilise Action CA17106 on Mobilising Data, Experts and Policies in Scientific Collections. Heliana Teixeira was supported by CESAM - FCT/MCTES UIDB/50017/2020+UIDP/50017/2020. Renato Panda was supported by Ci2 - FCT/MCTES UIDP/05567/2020. Elizabeth Ellwood is supported by the National Science Foundation (DBI 2027654). This work was also facilitated by the Research Foundation – Flanders research infrastructure under grant number FWO I001721N, the BiCIKL (grant agreement No 101007492) and SYNTHESYS+ (grant agreement No 823827) projects of the European Union’s Horizon 2020 Research and Innovation action.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3897/bdj.11.e109439pt_PT
dc.identifier.issn1314-2828
dc.identifier.issn1314-2836
dc.identifier.slugcv-prod-3431026
dc.identifier.urihttp://hdl.handle.net/10400.26/48471
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherPensoft Publisherspt_PT
dc.relationCA17106pt_PT
dc.relation.publisherversionhttps://bdj.pensoft.net/article/109439/pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectmachine learningpt_PT
dc.subjectfunctional traitspt_PT
dc.subjectspecies identificationpt_PT
dc.subjectbiodiversity, specimenspt_PT
dc.subjectcomputer visionpt_PT
dc.titleEnvisaging a global infrastructure to exploit the potential of digitised collectionspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleBiodiversity Data Journalpt_PT
oaire.citation.volume11pt_PT
person.familyNamePanda
person.givenNameRenato
person.identifierWT5afVUAAAAJ
person.identifier.ciencia-id661A-31CC-8D19
person.identifier.orcid0000-0003-2539-5590
person.identifier.scopus-author-id55354413900
rcaap.cv.cienciaid661A-31CC-8D19 | Renato Eduardo Silva Panda
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication9cd470af-3968-45cc-ad6f-3b59e00ae823
relation.isAuthorOfPublication.latestForDiscovery9cd470af-3968-45cc-ad6f-3b59e00ae823

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