Evaluating Open Access Journals using Web Semantic Technologies and Scorecards

What is it about?

This paper describes a process to develop and publish a scorecard from an OAJ (Open Access Journal) on the semantic web using Linked Data technologies in such a way that it can be linked to related datasets. Furthermore, methodological guidelines are presented with activities related to each step of the process. The proposed process was applied to a university OAJ from a university, including the definition of the KPIs (Key Performance Indicators) linked to the institutional strategies, the extraction, cleaning and loading of data from the data sources into a data mart, the transformation of data into RDF (Resource Description Framework), and the publication of data by means of a SPARQL endpoint using the Virtuoso software. Additionally, the RDF data cube vocabulary has been used to publish the multi-dimensional data on the Web. The visualization was made using CubeViz, a faceted browser to present the KPIs in interactive charts.

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Why is it important?

This work helps to share score card measures to get new combined performance measures related to Open Access Journals. The use of Linked Data technologies helps to machine and humans to get and share the information in the semantic web..

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