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Accès ouvert déclaré 2021 article

Harnessing the NEON data revolution to advance open environmental science with a diverse and data‐capable community

35Citations signalées, ce qui n’est pas une note de qualité
77Institutions déclarées
4Pays d’affiliation déclarés

Rattachement africain : us, au, Cameroun, ch. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

Abstract It is a critical time to reflect on the National Ecological Observatory Network (NEON) science to date as well as envision what research can be done right now with NEON (and other) data and what training is needed to enable a diverse user community. NEON became fully operational in May 2019 and has pivoted from planning and construction to operation and maintenance. In this overview, the history of and foundational thinking around NEON are discussed. A framework of open science is described with a discussion of how NEON can be situated as part of a larger data constellation—across existing networks and different suites of ecological measurements and sensors. Next, a synthesis of early NEON science, based on >100 existing publications, funded proposal efforts, and emergent science at the very first NEON Science Summit (hosted by Earth Lab at the University of Colorado Boulder in October 2019) is provided. Key questions that the ecology community will address with NEON data in the next 10 yr are outlined, from understanding drivers of biodiversity across spatial and temporal scales to defining complex feedback mechanisms in human–environmental systems. Last, the essential elements needed to engage and support a diverse and inclusive NEON user community are highlighted: training resources and tools that are openly available, funding for broad community engagement initiatives, and a mechanism to share and advertise those opportunities. NEON users require both the skills to work with NEON data and the ecological or environmental science domain knowledge to understand and interpret them. This paper synthesizes early directions in the community’s use of NEON data, and opportunities for the next 10 yr of NEON operations in emergent science themes, open science best practices, education and training, and community building.

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Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Harnessing the NEON data revolution to advance open environmental science with a diverse and data‐capable community
Date Crossref
01/12/2021
Éditeur
Wiley
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Les institutions déclarées

Cooperative Institute for Research in Environmental SciencesUniversity of Colorado BoulderMetropolitan State University of DenverBoise State UniversityUNSW SydneyUniversity of California, Santa BarbaraNational Center for Ecological Analysis and SynthesisUniversity of FloridaEcological Society of AmericaOglala Lakota CollegeUniversity of ArizonaMichigan State UniversityUniversity of Missouri–Kansas CityUniversity of IdahoNational Socio-Environmental Synthesis CenterColorado State UniversityBowling Green State UniversityThe University of Texas at AustinUniversity of California, BerkeleyUniversity of GeorgiaPlant (United States)University of Nebraska–LincolnUniversity of Rhode IslandPace UniversityIndiana University BloomingtonUniversity of Wisconsin–MilwaukeeNorthern Arizona UniversityAuburn UniversityNevada State UniversityUtah State UniversityNational Ecological Observatory NetworkFlorida International UniversityTexas Tech UniversityUniversity Corporation for Atmospheric ResearchUniversity of WashingtonUniversity of Colorado DenverTemple UniversityCary Institute of Ecosystem StudiesBoston UniversityIndiana University – Purdue University IndianapolisPortland State UniversityThe Ohio State UniversityAID AtlantaColorado Sleep InstituteUnited States Department of the ArmyUniversity of Hawaiʻi at MānoaUniversity of Hawaii SystemNational Oceanic and Atmospheric AdministrationUniversity of MinnesotaUniversity of PittsburghUniversity of California, DavisUniversity of California, Los AngelesDePaul UniversityPurdue University West LafayetteLouisiana State UniversityOregon State UniversityWoodrow Wilson International Center for ScholarsBattelleRocky Mountain Research StationUniversity of NgaoundéréUniversity of Arkansas at FayettevilleGlobal Science & Technology (United States)University of OklahomaUniversity of MichiganBryn Mawr CollegeUniversity of ZurichEmory UniversityInstitute of Arctic and Alpine ResearchNew York Consortium in Evolutionary PrimatologyColumbia UniversityRochester Institute of TechnologyUniversity of New MexicoBridgewater State UniversityCornell UniversityUniversity of WyomingArizona State UniversityUniversity of California, Santa Cruz

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Species Distribution and Climate ChangeResearch Data Management PracticesScientific Computing and Data Management

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