Evidence map›Paper›PMID 39333503›Full record

ArticleScientific data2024

Assessing semantic interoperability in environmental sciences: variety of approaches and semantic artefacts.

Cristina Di Muri, Martina Pulieri, Davide Raho, Alexandra N Muresan, Andrea Tarallo, Jessica Titocci, Enrica Nestola, Alberto Basset, Sabrina Mazzoni, Ilaria Rosati

Abstract read
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

10 authors.

Cristina Di Muri *National Research Council of Italy (CNR), Research Institute on Terrestrial Ecosystems (IRET), Lecce, 73100, Italy. cristina.dimuri@cnr.it.ORCID http://orcid.org/0000-0003-4072-0662
Martina Pulieri *University of Salento, Department of Biological and Environmental Sciences and Technologies, Lecce, 73100, Italy. martina.pulieri@unisalento.it.ORCID http://orcid.org/0009-0001-9691-1989
Davide RahoNational Research Council of Italy (CNR), Research Institute on Terrestrial Ecosystems (IRET), Lecce, 73100, Italy.
Alexandra N MuresanNational Research Council of Italy (CNR), Research Institute on Terrestrial Ecosystems (IRET), Lecce, 73100, Italy.ORCID http://orcid.org/0000-0002-1958-9412
Andrea TaralloNational Research Council of Italy (CNR), Research Institute on Terrestrial Ecosystems (IRET), Lecce, 73100, Italy.
Jessica TitocciNational Research Council of Italy (CNR), Research Institute on Terrestrial Ecosystems (IRET), Lecce, 73100, Italy.ORCID http://orcid.org/0000-0001-9157-1578
Enrica NestolaNational Research Council of Italy (CNR), Research Institute on Terrestrial Ecosystems (IRET), Lecce, 73100, Italy.ORCID http://orcid.org/0000-0003-0468-1969
Alberto BassetNational Research Council of Italy (CNR), Research Institute on Terrestrial Ecosystems (IRET), Lecce, 73100, Italy.
Sabrina MazzoniUniversity of Salento, Department of Biological and Environmental Sciences and Technologies, Lecce, 73100, Italy.ORCID http://orcid.org/0000-0003-0049-199X
Ilaria RosatiNational Research Council of Italy (CNR), Research Institute on Terrestrial Ecosystems (IRET), Lecce, 73100, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration and reuse of digital research products can be only ensured through the adoption of machine-actionable (meta)data standards enriched with semantic artefacts. This study compiles 540 semantic artefacts in environmental sciences to: i. examine their coverage in scientific domains and topics; ii. assess key aspects of their FAIRness; and iii. evaluate management and governance concerns. The analyses showed that the majority of semantic artefacts concern the terrestrial biosphere domain, and that a small portion of the total failed to meet the FAIR principles. For example, 5.5% of semantic artefacts were not available in semantic catalogues, 8% were not built with standard model languages and formats, 24.6% were published without usage licences and 22.4% without version information or with divergent versions across catalogues in which they were available. This investigation discusses common semantic practices, outlines existing gaps and suggests potential solutions to address semantic interoperability challenges in some of the resources originally designed to guarantee it.

Identifiers

PMID39333503
PMCPMC11437166

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.