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Analysis of institutional authors

Belhajjame K.Corresponding AuthorGarijo, DAuthorCorcho, OAuthor

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October 17, 2018
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Using a suite of ontologies for preserving workflow-centric research objects

Publicated to: Journal of Web Semantics. 32 16-42 - 2015-05-01 32(), DOI: 10.1016/j.websem.2015.01.003

Authors:

Belhajjame, Khalid; Zhao, Jun; Garijo, Daniel; Gamble, Matthew; Hettne, Kristina; Palma, Raul; Mina, Eleni; Corcho, Oscar; Gomez-Perez, Jose Manuel; Bechhofer, Sean; Klyne, Graham; Goble, Carole
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Affiliations

iSOCO, Madrid, Spain - Author
iSOCO, S.A. - Author
Laboratoire d'Analyse et Modelisation de Systemes pour l'Aide a la Decision - Author
Lancaster University - Author
Leiden Univ, Med Ctr, Leiden, Netherlands - Author
Leiden University Medical Center - LUMC - Author
Poznan Supercomp & Networking Ctr, Poznan, Poland - Author
Poznanskie Centrum Superkomputerowo Sieciowe - Author
Univ Lancaster, Sch Comp & Commun, Lancaster LA1 4YW, England - Author
Univ Manchester, Sch Comp Sci, Manchester M13 9PL, Lancs, England - Author
Univ Oxford, Dept Zool, Oxford OX1 2JD, England - Author
Univ Paris 09, PSL, LAMSADE, F-75775 Paris 16, France - Author
Univ Politecn Madrid, Ontol Engn Grp, E-28040 Madrid, Spain - Author
Universidad Politécnica de Madrid - Author
University of Manchester - Author
University of Oxford - Author
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Abstract

© 2015 The Authors. Abstract Scientific workflows are a popular mechanism for specifying and automating data-driven in silico experiments. A significant aspect of their value lies in their potential to be reused. Once shared, workflows become useful building blocks that can be combined or modified for developing new experiments. However, previous studies have shown that storing workflow specifications alone is not sufficient to ensure that they can be successfully reused, without being able to understand what the workflows aim to achieve or to re-enact them. To gain an understanding of the workflow, and how it may be used and repurposed for their needs, scientists require access to additional resources such as annotations describing the workflow, datasets used and produced by the workflow, and provenance traces recording workflow executions. In this article, we present a novel approach to the preservation of scientific workflows through the application of research objects - aggregations of data and metadata that enrich the workflow specifications. Our approach is realised as a suite of ontologies that support the creation of workflow-centric research objects. Their design was guided by requirements elicited from previous empirical analyses of workflow decay and repair. The ontologies developed make use of and extend existing well known ontologies, namely the Object Reuse and Exchange (ORE) vocabulary, the Annotation Ontology (AO) and the W3C PROV ontology (PROVO). We illustrate the application of the ontologies for building Workflow Research Objects with a case-study that investigates Huntington's disease, performed in collaboration with a team from the Leiden University Medial Centre (HG-LUMC). Finally we present a number of tools developed for creating and managing workflow-centric research objects.
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Keywords

AnnotationDesignGeneLife sciencesOntologiesPreservationProvenanceResearch objectScientific workflowSystem

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Journal of Web Semantics due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2015, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Networks and Communications. Notably, the journal is positioned above the 90th percentile.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 1.9. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 13, 2025)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 3.91 (source consulted: FECYT Mar 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2026-04-25, the following number of citations:

  • WoS: 69
  • Scopus: 106
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-25:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 168.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 167 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 23.
  • The number of mentions on the social network X (formerly Twitter): 5 (Altmetric).
  • The number of mentions on Wikipedia: 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/93026/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 27
  • Downloads: 8
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: France; Gran Bretanya; Netherlands; Poland; United Kingdom.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (GARIJO VERDEJO, DANIEL) .

the author responsible for correspondence tasks has been GARIJO VERDEJO, DANIEL.

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