Persistent conference identifiers in CRIS – first implementations with VIVO and URIS

Author(s)
Keywords

research information ...

current research info...

persistent identifier...

academic events

ConfIDent

VIVO

Ukrainian Research In...

Issue Date
May 15, 2024
Publisher
euroCRIS
Type
Conference Proceeding
Abstract
Academic events serve as pivotal instruments for scholarly discourse and networking within the scientific community. However, the quality of metadata describing these events often falls short, hindering their effective utilization. The ConfIDent project addresses this gap by establishing a registry for high-quality conference metadata with persistent identifiers (PIDs). It aims to enhance data management and accessibility while aligning with FAIR principles. ConfIDent has pioneered the creation of approximately 5000 DOIs for events, promoting transparency and interoperability. Integrating Conference PIDs into Research Information Systems (RIS) is essential for comprehensive research evaluation, as advocated by frameworks like the Leiden Manifesto and the Hong Kong Principles. Two case studies illustrate how the implementation of ConfIDent in RIS platforms can be tailored to specific research domains: the Forschungsatlas and the Ukraine Research Information System (URIS). Both cases aim at automated retrieval and integration of academic event metadata, enhancing the visibility and assessment of scholarly activities. Looking ahead, the integration of PIDs for events holds promise for advancing the role of academic events within RIS, fostering a more robust and nuanced approach to research evaluation.
Description
Extended abstract presented at the CRIS2024 conference in Vienna".-- Event programme available at https://cris2024.eurocris.org/#programme
24 slides.-- Presentation delivered within Session 2.2 "Persistent identifiers and knowledge graphs (I)" on Wed May 15th, 2024
URI
https://dspacecris.eurocris.org/handle/11366/2557
DOI
File(s)
Thumbnail Image
Name

Auhunas-et-al_CRIS2024_Persistent-conference-identifiers-in-CRIS.pdf

Description
Extended abstract (PDF)
Size

55.82 KB

Format

Adobe PDF

Checksum (MD5)

d6028eeb8731cbbb2cc707b9c198d067

Thumbnail Image
Name

Hauschke_CRIS2024_slides_Persistent-conference-identifiers-in-CRIS.pdf

Description
Presentation (PDF)
Size

2.85 MB

Format

Adobe PDF

Checksum (MD5)

93e157ba732ee3f28312c45f8d7c771a