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A proposed FAIR approach for disseminating geospatial information system maps.
Thompson, P Travis; Ojha, Sweta; Powell, Christian D; Pennell, Kelly G; Moseley, Hunter N B.
Afiliação
  • Thompson PT; University of Kentucky Superfund Research Center (UKSRC), Lexington, KY, USA.
  • Ojha S; University of Kentucky Superfund Research Center (UKSRC), Lexington, KY, USA.
  • Powell CD; University of Kentucky, College of Engineering, Department of Civil Engineering, Lexington, KY, USA.
  • Pennell KG; University of Kentucky Superfund Research Center (UKSRC), Lexington, KY, USA.
  • Moseley HNB; University of Kentucky, Department of Computer Science (Data Science Program), Lexington, KY, USA.
Sci Data ; 10(1): 389, 2023 06 16.
Article em En | MEDLINE | ID: mdl-37328607
ABSTRACT
We present a draft Minimum Information About Geospatial Information System (MIAGIS) standard for facilitating public deposition of geospatial information system (GIS) datasets that follows the FAIR (Findable, Accessible, Interoperable and Reusable) principles. The draft MIAGIS standard includes a deposition directory structure and a minimum javascript object notation (JSON) metadata formatted file that is designed to capture critical metadata describing GIS layers and maps as well as their sources of data and methods of generation. The associated miagis Python package facilitates the creation of this MIAGIS metadata file and directly supports metadata extraction from both Esri JSON and GEOJSON GIS data formats plus options for extraction from user-specified JSON formats. We also demonstrate their use in crafting two example depositions of ArcGIS generated maps. We hope this draft MIAGIS standard along with the supporting miagis Python package will assist in establishing a GIS standards group that will develop the draft into a full standard for the wider GIS community as well as a future public repository for GIS datasets.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas de Informação / Metadados Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas de Informação / Metadados Idioma: En Ano de publicação: 2023 Tipo de documento: Article