Evidence map›Paper›PMID 38730252›Full record

ArticleScientific data2024

A maturity model for catalogues of semantic artefacts.

Oscar Corcho, Fajar J Ekaputra, Ivan Heibi, Clement Jonquet, Andras Micsik, Silvio Peroni, Emanuele Storti

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Oscar CorchoOntology Engineering Group (OEG), Computer Science School, Universidad Politécnica de Madrid, Madrid, Spain.
Fajar J EkaputraDPKM, Vienna University of Economic and Business (WU), Vienna, Austria.
Ivan HeibiDigital Humanities Advanced Research Centre (/DH.arc), Department of Classical Philology and Italian Studies, University of Bologna, Bologna, Italy.
Clement JonquetMISTEA, University of Montpellier, INRAE & Institut Agro, Montpellier, France.
Andras MicsikDepartment of Distributed Systems (DSD), Institute for Computer Science and Control (SZTAKI), Hungarian Research Network (HUN-REN), Budapest, Hungary.ORCID http://orcid.org/0000-0001-9859-9186
Silvio PeroniDigital Humanities Advanced Research Centre (/DH.arc), Department of Classical Philology and Italian Studies, University of Bologna, Bologna, Italy. silvio.peroni@unibo.it.ORCID http://orcid.org/0000-0003-0530-4305
Emanuele StortiDepartment of Information Engineering, Polytechnic University of Marche, Ancona, Italy.

Funding

European Commission (EC) 101017452European Commission (EC) 101057344European Commission (EC) 101095129
6 · The paper itself

Abstract

This work presents a maturity model for assessing catalogues of semantic artefacts, one of the keystones that permit semantic interoperability of systems. We defined the dimensions and related features to include in the maturity model by analysing the current literature and existing catalogues of semantic artefacts provided by experts. In addition, we assessed 26 different catalogues to demonstrate the effectiveness of the maturity model, which includes 12 different dimensions (Metadata, Openness, Quality, Availability, Statistics, PID, Governance, Community, Sustainability, Technology, Transparency, and Assessment) and 43 related features (or sub-criteria) associated with these dimensions. Such a maturity model is one of the first attempts to provide recommendations for governance and processes for preserving and maintaining semantic artefacts and helps assess/address interoperability challenges.

Identifiers

PMID38730252
PMCPMC11087458

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.