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  4. Swepub Analysis - serving high quality repository data and more using Linked Data technologies

Swepub Analysis - serving high quality repository data and more using Linked Data technologies

Author(s)
Tolstoy, Theodor
Keywords

research information ...

open access repositor...

bibliometrics

linked open data

Issue Date
June 9, 2016
Publisher
euroCRIS
Type
Conference Paper
Abstract
SwePub is a bibliographic search service, harvesting and offering unified searching of aggregated scientific publication metadata from institutional repositories (IRs) in Swedish universities and higher education institutions. SwePub has been developed by the National Library of Sweden.
Last year, in response to a government assignment, SwePub released a technical preview of an entirely new service – SwePub Analysis – aimed at researchers and analysts working in the areas of bibliometrics and scientometrics. SwePub Analysis is a bibliometric service enabling users to obtain enriched and validated scientific publication metadata to base their research and analyses on.
SwePub Analysis is built on linked data technologies and, together with data from other research information resources, allows users to query the database to obtain new knowledge concerning research information that would otherwise be difficult to obtain, e.g. richer Open Access information, deeper knowledge of scientific collaboration etcetera. For the service to be able to provide high quality data, and for users to understand it’s limitations, much effort has been spent on analysing and validating harvested metadata. This enables the service to present data providers with visualised, rich data on which elements are missing or do not meet format specifications and standards. Hopefully this approach will give IRs incentives to improve data quality.
Description
Delivered at the CRIS2016 Conference in St Andrews.-- Contains conference paper (9 pages) and presentation (19 slides).
URI
https://dspacecris.eurocris.org/handle/11366/509
File(s)
Thumbnail Image
Name

CRIS2016_paper_67_Tolstoy.pdf

Description
post-print version
Size

955.69 KB

Format

Adobe PDF

Checksum (MD5)

b918b9a54269dfbcc4f871b2f73f2a1b

Thumbnail Image
Name

swepub_CRIS2016_slides.pptx

Description
PPT presentation
Size

1.67 MB

Format

Microsoft Powerpoint XML

Checksum (MD5)

ff9e0053f29a526319389790b6318a1a

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