An application profile for research collaboration and information management

Nonthakarn, Chariya; Wuwongse, Vilas

doi:10.1108/prog-02-2014-0007

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…Similar processes are proposed in the studies by Nonthakarn and Ya-Ning. The former uses Dublin Core as a key element, whereas the latter relies more on data mapping to RDF (Nonthakarn and Wuwongse, 2015;Ya-Ning, 2015).…”

Section: Semantic Interoperabilitymentioning

confidence: 99%

Working framework of semantic interoperability for CRIS with heterogeneous data sources

Leiva-Mederos

Senso

Hidalgo-Delgado

et al. 2017

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Purpose Information from Current Research Information Systems (CRIS) is stored in different formats, in platforms that are not compatible, or even in independent networks. It would be helpful to have a well-defined methodology to allow for management data processing from a single site, so as to take advantage of the capacity to link disperse data found in different systems, platforms, sources and/or formats. Based on functionalities and materials of the VLIR project, the purpose of this paper is to present a model that provides for interoperability by means of semantic alignment techniques and metadata crosswalks, and facilitates the fusion of information stored in diverse sources. Design/methodology/approach After reviewing the state of the art regarding the diverse mechanisms for achieving semantic interoperability, the paper analyzes the following: the specific coverage of the data sets (type of data, thematic coverage and geographic coverage); the technical specifications needed to retrieve and analyze a distribution of the data set (format, protocol, etc.); the conditions of re-utilization (copyright and licenses); and the “dimensions” included in the data set as well as the semantics of these dimensions (the syntax and the taxonomies of reference). The semantic interoperability framework here presented implements semantic alignment and metadata crosswalk to convert information from three different systems (ABCD, Moodle and DSpace) to integrate all the databases in a single RDF file. Findings The paper also includes an evaluation based on the comparison – by means of calculations of recall and precision – of the proposed model and identical consultations made on Open Archives Initiative and SQL, in order to estimate its efficiency. The results have been satisfactory enough, due to the fact that the semantic interoperability facilitates the exact retrieval of information. Originality/value The proposed model enhances management of the syntactic and semantic interoperability of the CRIS system designed. In a real setting of use it achieves very positive results.

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Section: Semantic Interoperabilitymentioning

confidence: 99%

Working framework of semantic interoperability for CRIS with heterogeneous data sources

Leiva-Mederos

Senso

Hidalgo-Delgado

et al. 2017

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“…On the other hand a difficulty of CERIF that is a result of focussing on machine understandability of research landscape ( Jeffery et al, 2002) and this can be solved by customization of CERIF based on contextual needs as some national CRISs have done it (Pinto et al, 2014). An example of misunderstanding of CERIF is a paper published by Nonthakarn and Wuwongse (2015). The main goal of the paper is "designing an application profile that will enable interoperability among research management systems, support research collaboration, and facilitate the management of research information.…”

mentioning

confidence: 99%

Added value in the context of research information systems

Nabavi

Jeffery²,

Jamali

2016

Program

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Purpose – The purpose of this paper is to discuss added value in the context of current research information systems (CRISs) based on metadata enrichment. Design/methodology/approach – This discussion paper uses literature review as well as analysis of CRISs specifications to discuss added value possibilities. Findings – Added value of the CRISs is in their integration and interoperability with the same and similar information systems. Since metadata plays key roles in interoperability of information systems, therefore focussing on metadata-related issue can add considerable values to CRISs. Two types of metadata can be distinguished in every CRISs including macro- and micro-metadata. In terms of macro-metadata common European research information format (CERIF) by itself is an added value for CRIS because it draws a complete view of the research landscape including entities and their relations. CERIF metadata structure is designed in such a way that supports micro- and macro-metadata. Originality/value – There is a lack of literature on adding value to research information systems especially CRIS and particularly how value can be added in CRISs still is an unanswered question. CRIS developers can use this paper as a road map to choose the most valuable strategy for adding value to their systems.

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Research-Information Management

Hutchinson¹

2019

Science Libraries in the Self-Service Age

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An application profile for research collaboration and information management

Cited by 3 publications

References 20 publications

Working framework of semantic interoperability for CRIS with heterogeneous data sources

Working framework of semantic interoperability for CRIS with heterogeneous data sources

Added value in the context of research information systems

Research-Information Management

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