Supervised research information import into CRISs from global sources
Author(s)
Issue Date
November 28, 2024
Publisher
euroCRIS
Type
Presentation
Abstract
Information about publications is partially available in global sources. This information may be used as a starting point for collecting complete bibliographies of researchers in institutional research information systems. The information may be checked by publication authors in this process in order to be well ingested into the graph of research information. Persistent identifiers may be useful in this process when identifiers exist in global sources. Unfortunately, in some cases those identifiers are missing which might lead to mislinking entities due to unavailable entity recognition (journal, conference, researcher, etc.) in cases where automatic import is applied. Therefore, we are suggesting a semi-automated process supervised by publication authors who will help a CRIS platform in proper linking of entities in the case of missing persistent identifiers. We implemented a module which is supporting this process. The module is implemented in the TeslaRIS platform in the case of importing data from Scopus global source. However, this module can be reused for other CRIS platforms and easily extended to support other global sources (OpenAlex for instance).
Description
15 slides.-- Presentation delivered within the "Contributions from euroCRIS members (III)" session on Day II of the euroCRIS SMM2024 in Paris.-- Includes extended abstract
URI
https://dspacecris.eurocris.org/handle/11366/2658
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Name
IMrsulja_SMM2024_Supervised-research-information-import_slides.pdf
Description
Presentation (PDF)
Size
693.48 KB
Format
Adobe PDF
Checksum (MD5)
2625f3fe17ca10a3e4a84d1d088a495a
Name
Mršulja-Popović-Ivanović_SMM2024_Supervised-research-information-import.pdf
Description
Extended abstract (PDF)
Size
167.71 KB
Format
Adobe PDF
Checksum (MD5)
7787605f6af08087598a18e343035f07
Conference(s)
