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Based on the principle that data are only of societal benefit if they are extensively used, MET Norway aims to organize its data management to support simple, secure and stable access to dynamic geodata for everyone - from professional users to the general public. Improving the ability for machine discoverability, interoperability and reuse is of particular importance. The FAIR principles are key to achieving this goal. Yet, smart joint use of different systems and solutions is a prerequisite to making data FAIR. A data product cannot be FAIR-compliant without well-functioning support systems around the product. This paper outlines the guidelines and solutions for the implementation of the data management at MET Norway, and how they build upon the FAIR principles. The guidelines are organized in three main categories: (1) preservation of data, (2) documentation of data, and (3) publication and sharing of data. The underlying data management model and guidelines are presented and explained, and MET Norway’s implementation is summarized.

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Structured Management of Dynamic Geodata - Implementation Guidelines Based on the FAIR Principles

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Morten W. Hansen,
  • Lara Ferrighi,
  • Bruce Hackett,
  • Øystein Godøy,
  • Johannes T. Langvatn,
  • Nina E. Larsgård,
  • Trygve Aspenes,
  • Arnulf Heimsbakk,
  • Charlie Negri,
  • Martin G. Pejcoch,
  • Shamly Majeed,
  • Elinah K. Kuya,
  • Elodie Fernandez,
  • Eivind Støylen,
  • Vegar Kristiansen,
  • Audun Christoffersen

摘要

Based on the principle that data are only of societal benefit if they are extensively used, MET Norway aims to organize its data management to support simple, secure and stable access to dynamic geodata for everyone - from professional users to the general public. Improving the ability for machine discoverability, interoperability and reuse is of particular importance. The FAIR principles are key to achieving this goal. Yet, smart joint use of different systems and solutions is a prerequisite to making data FAIR. A data product cannot be FAIR-compliant without well-functioning support systems around the product. This paper outlines the guidelines and solutions for the implementation of the data management at MET Norway, and how they build upon the FAIR principles. The guidelines are organized in three main categories: (1) preservation of data, (2) documentation of data, and (3) publication and sharing of data. The underlying data management model and guidelines are presented and explained, and MET Norway’s implementation is summarized.