Identification and citation of digital research resources
Hellström, Margareta LU ; Johnsson, Maria LU and Vermeulen, Alex LU
(2020)
In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12003.
p.162-175
- 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... (More)
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.
(Less)
- author
- Hellström, Margareta
LU
; Johnsson, Maria
LU
and Vermeulen, Alex
LU
- organization
- publishing date
- 2020
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Citation, Identification, Persistent identifiers
- host publication
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
- series title
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
- volume
- 12003
- pages
- 14 pages
- publisher
- Springer Gabler
- external identifiers
-
- scopus:85089621432
- ISSN
- 1611-3349
- 0302-9743
- ISBN
- 978-3-030-52828-7
- 978-3-030-52829-4
- DOI
- 10.1007/978-3-030-52829-4_9
- language
- English
- LU publication?
- yes
- id
- 54bb3f56-49f6-4006-b499-c5661ccb7542
- date added to LUP
- 2020-08-28 10:13:13
- date last changed
- 2024-05-01 15:46:09
@inbook{54bb3f56-49f6-4006-b499-c5661ccb7542,
abstract = {{<p>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.</p>}},
author = {{Hellström, Margareta and Johnsson, Maria and Vermeulen, Alex}},
booktitle = {{Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}},
isbn = {{978-3-030-52828-7}},
issn = {{1611-3349}},
keywords = {{Citation; Identification; Persistent identifiers}},
language = {{eng}},
pages = {{162--175}},
publisher = {{Springer Gabler}},
series = {{Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}},
title = {{Identification and citation of digital research resources}},
url = {{http://dx.doi.org/10.1007/978-3-030-52829-4_9}},
doi = {{10.1007/978-3-030-52829-4_9}},
volume = {{12003}},
year = {{2020}},
}