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dc.contributor.authorBubnicki, Jakub W.
dc.contributor.authorNorton, Ben
dc.contributor.authorBaskauf, Steven J.
dc.contributor.authorBruce, Tom
dc.contributor.authorCagnacci, Francesca
dc.contributor.authorCasaer, Jim
dc.contributor.authorChurski, Marcin
dc.contributor.authorCromsigt, Joris P. G. M.
dc.contributor.authorFarra, Simone Dal
dc.contributor.authorFiderer, Christian
dc.contributor.authorForrester, Tavis D.
dc.contributor.authorHendry, Heidi
dc.contributor.authorHeurich, Marco Dietmar
dc.contributor.authorHofmeester, Tim R.
dc.contributor.authorJansen, Patrick A.
dc.contributor.authorKays, Roland
dc.contributor.authorKuijper, Dries P. J.
dc.contributor.authorLiefting, Yorick
dc.contributor.authorLinnell, John Durrus
dc.contributor.authorLuskin, Matthew S.
dc.contributor.authorMann, Christopher
dc.contributor.authorMilotic, Tanja
dc.contributor.authorNewman, Peggy
dc.contributor.authorNiedballa, Jürgen
dc.contributor.authorOldoni, Damiano
dc.contributor.authorOssi, Federico
dc.contributor.authorRobertson, Tim
dc.contributor.authorRovero, Francesco
dc.contributor.authorRowcliffe, Marcus
dc.contributor.authorSeidenari, Lorenzo
dc.contributor.authorStachowicz, Izabela
dc.contributor.authorStowell, Dan
dc.contributor.authorTobler, Mathias W.
dc.contributor.authorWieczorek, John
dc.contributor.authorZimmermann, Fridolin
dc.contributor.authorDesmet, Peter
dc.date.accessioned2023-12-12T11:52:22Z
dc.date.available2023-12-12T11:52:22Z
dc.date.created2023-12-11T15:58:58Z
dc.date.issued2023
dc.identifier.issn2056-3485
dc.identifier.urihttps://hdl.handle.net/11250/3107083
dc.description.abstractCamera trapping has revolutionized wildlife ecology and conservation by providing automated data acquisition, leading to the accumulation of massive amounts of camera trap data worldwide. Although management and processing of camera trap-derived Big Data are becoming increasingly solvable with the help of scalable cyber-infrastructures, harmonization and exchange of the data remain limited, hindering its full potential. There is currently no widely accepted standard for exchanging camera trap data. The only existing proposal, “Camera Trap Metadata Standard” (CTMS), has several technical shortcomings and limited adoption. We present a new data exchange format, the Camera Trap Data Package (Camtrap DP), designed to allow users to easily exchange, harmonize and archive camera trap data at local to global scales. Camtrap DP structures camera trap data in a simple yet flexible data model consisting of three tables (Deployments, Media and Observations) that supports a wide range of camera deployment designs, classification techniques (e.g., human and AI, media-based and event-based) and analytical use cases, from compiling species occurrence data through distribution, occupancy and activity modeling to density estimation. The format further achieves interoperability by building upon existing standards, Frictionless Data Package in particular, which is supported by a suite of open software tools to read and validate data. Camtrap DP is the consensus of a long, in-depth, consultation and outreach process with standard and software developers, the main existing camera trap data management platforms, major players in the field of camera trapping and the Global Biodiversity Information Facility (GBIF). Under the umbrella of the Biodiversity Information Standards (TDWG), Camtrap DP has been developed openly, collaboratively and with version control from the start. We encourage camera trapping users and developers to join the discussion and contribute to the further development and adoption of this standard. Biodiversity data, camera traps, data exchange, data sharing, information standardsen_US
dc.language.isoengen_US
dc.rightsNavngivelse-Ikkekommersiell 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/deed.no*
dc.subjectbiodiversity dataen_US
dc.subjectcamera trapen_US
dc.subjectdata exchangeen_US
dc.subjectdata sharingen_US
dc.subjectinformation standardsen_US
dc.titleCamtrap DP: an open standard for the FAIR exchange and archiving of camera trap dataen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder2023 The Authors.en_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420en_US
dc.source.journalRemote Sensing in Ecology and Conservationen_US
dc.identifier.doi10.1002/rse2.374
dc.identifier.cristin2211969
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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