Evidence map›Paper›PMID 39637194›Full record

ArticlePloS one2024

Managing linguistic obstacles in multidisciplinary, multinational, and multilingual research projects.

Alison Specht, Shelley Stall, Jeaneth Machicao, Thibault Catry, Marc Chaumont, Romain David, Rodolphe Devillers, Rorie Edmunds, Robin Jarry, Laurence Mabile and 6 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

16 authors.

Alison SpechtTerrestrial Ecosystem Research Network, The University of Queensland, Brisbane, Australia.ORCID 0000-0002-2623-0854
Shelley StallAmerican Geophysical Union (AGU), Washington, DC, United States of America.
Jeaneth MachicaoUniversity of São Paulo, São Paulo, Brazil.
Thibault CatryEspace-Dev (IRD, University of Montpellier, University of Guyana, University of La Réunion, University of Antilles, University of New Caledonia), Montpellier, France.
Marc ChaumontLaboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM, National Centre for Scientific Research (CNRS), University of Montpellier), Montpellier, France.
Romain DavidEuropean Research Infrastructure on Highly Pathogenic Agents (ERINHA), Brussels, Belgium.
Rodolphe DevillersEspace-Dev (IRD, University of Montpellier, University of Guyana, University of La Réunion, University of Antilles, University of New Caledonia), Montpellier, France.
Rorie EdmundsDataCite, Hannover, Germany.
Robin JarryLaboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM, National Centre for Scientific Research (CNRS), University of Montpellier), Montpellier, France.
Laurence MabileFrench National Institute of Health and Medical Research (Inserm), University of Toulouse III - Paul Sabatier, Toulouse, France.ORCID 0000-0002-7724-1721
Nobuko MiyairiNational Institute of Information and Communications Technology, Koganei, Japan.
Margaret O'BrienUniversity of California, Santa Barbara, Santa Barbara, CA, United States of America.ORCID 0000-0002-1693-8322
Pedro Pizzigatti CorreaUniversity of São Paulo, São Paulo, Brazil.
Solange SantosScientific Electronic Library Online (SCIELO), São Paulo, Brazil.
Gérard SubsolLaboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM, National Centre for Scientific Research (CNRS), University of Montpellier), Montpellier, France.ORCID 0000-0002-7461-4932
Lesley WybornNational Computing Infrastructure, Australian National University, Canberra, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental challenges are rarely confined to national, disciplinary, or linguistic domains. Convergent solutions require international collaboration and equitable access to new technologies and practices. The ability of international, multidisciplinary and multilingual research teams to work effectively can be challenging. A major impediment to innovation in diverse teams often stems from different understandings of the terminology used. These can vary greatly according to the cultural and disciplinary backgrounds of the team members. In this paper we take an empirical approach to examine sources of terminological confusion and their effect in a technically innovative, multidisciplinary, multinational, and multilingual research project, adhering to Open Science principles. We use guided reflection of participant experience in two contrasting teams-one applying Deep Learning (Artificial Intelligence) techniques, the other developing guidance for Open Science practices-to identify and classify the terminological obstacles encountered and reflect on their impact. Several types of terminological incongruities were identified, including fuzziness in language, disciplinary differences and multiple terms for a single meaning. A novel or technical term did not always exist in all domains, or if known, was not fully understood or adopted. Practical matters of international data collection and comparison included an unanticipated need to incorporate different types of data labels from country to country, authority to authority. Sometimes these incongruities could be solved quickly, sometimes they stopped the workflow. Active collaboration and mutual trust across the team enhanced workflows, as incompatibilities were resolved more speedily than otherwise. Based on the research experience described in this paper, we make six recommendations accompanied by suggestions for their implementation to improve the success of similar multinational, multilingual and multidisciplinary projects. These recommendations are conceptual drawing on a singular experience and remain to be sources for discussion and testing by others embarking on their research journey.

Indexed as

MultilingualismHumansInterdisciplinary ResearchLanguageLinguisticsTerminology as Topic

Identifiers

PMID39637194
PMCPMC11620653

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.