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Benefits of assigning DOIs to IOTC documents and data

Reference: 
IOTC-2023-WPDCS19-18_Rev1
File: 
PDF icon IOTC-2023-WPDCS19-18_Rev1_-_DOI_benefits.pdf
Type: 
Meeting documents
Year: 
2023
Meeting: 
Working Party on Data Collection and Statistics (WPDCS)
Meeting session: 
19
Availability: 
14 November 2023
Authors: 
Pierre L
Barde J
Abstract: 

Only few organizations worldwide can ensure the long term storage and access for their numeric ressources. Indeed this requires a replication of data in multiple sites within secured data centers. Consequently, even in scientific organizations, the rate of data loss is important and this situation is no longer accepted by funding agencies which are requiring research projects to implement data management plans to ensure that the funded data and resulting information and knowledge will not be lost. In addition, beyond economical considerations and for obvious ethical reasons, data have to be made accessible along with publications to enable the review and the reproducibility of the scientific work. To be found once published, resources also have to be described with standardized discovery metadata which foster interoperability on the Web. Since years, multiple data repositories offer free services for the long term storage of any kind of numerical resource. These repositories also assign unique identifiers (Digital Object Identifier, DOI) which foster their reuse and citation worldwide by complying with standardized metadata. In practice, scientists are already used to getting DOIs assigned to their articles by scientific journals but still few of them are assigning DOIs to other products like their data, code or reports. In 2019, a first work has been driven in collaboration with IOTC to start assigning DOIs to a selection of IOTC reports. In this paper we present a summary of the past work results and make some recommendations to update it by assigning new DOIs to other kinds of IOTC resources (eg datasets, working papers)

Tags: 
DOI
metadata
interoperability
workflow
FAIR data management

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