Identification and citation of digital research resources

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

Environmental research infrastructures are often built on a large number of distributed observational or experimental sites, run by hundreds of scientists and technicians, financially supported and administrated by a large number of institutions. It becomes very important to acknowledge the data sources and their providers. There is also a strong need for common data citation tracking systems that allow data providers to identify downstream usage of their data so as to demonstrate their importance and show the impact to stakeholders and the public. This chapter highlights identification and citation in environmental RIs, reviews available technologies and develops common services for these operations. This chapter presents a suggested common system design for Identification and Citation, as well as an outline for negotiations and discussions with publishers and other actors in the scholarly data management and curation world.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Gabler
Pages162-175
Number of pages14
ISBN (Electronic)978-3-030-52829-4
ISBN (Print)978-3-030-52828-7
DOIs
Publication statusPublished - 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12003
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Subject classification (UKÄ)

  • Information Studies

Free keywords

  • Citation
  • Identification
  • Persistent identifiers

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