Towards ARTEM-IS: Design guidelines for evidence-based EEG methodology reporting tools

As the number of EEG papers increases, so too do the number of guidelines for how to report what has been done. However, current guidelines and checklists appear to have limited adoption, as systematic reviews have shown the journal article format is highly prone to errors, ambiguities and omissions...

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Autores principales: Suzy J Styles, Vanja Ković, Han Ke, Anđela Šoškić
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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EEG
Acceso en línea:https://doaj.org/article/6cec4890f96f4c32837fe886702e926f
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spelling oai:doaj.org-article:6cec4890f96f4c32837fe886702e926f2021-12-04T04:33:16ZTowards ARTEM-IS: Design guidelines for evidence-based EEG methodology reporting tools1095-957210.1016/j.neuroimage.2021.118721https://doaj.org/article/6cec4890f96f4c32837fe886702e926f2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1053811921009939https://doaj.org/toc/1095-9572As the number of EEG papers increases, so too do the number of guidelines for how to report what has been done. However, current guidelines and checklists appear to have limited adoption, as systematic reviews have shown the journal article format is highly prone to errors, ambiguities and omissions of methodological details. This is a problem for transparency in the scientific record, along with reproducibility and metascience. Following lessons learned in the high complexity fields of aviation and surgery, we conclude that new tools are needed to overcome the limitations of written methodology descriptions, and that these tools should be developed through community consultation to ensure that they have the most utility for EEG stakeholders. As a first step in tool development, we present the ARTEM-IS Statement describing what action will be needed to create an Agreed Reporting Template for Electroencephalography Methodology - International Standard (ARTEM-IS), along with ARTEM-IS Design Guidelines for developing tools that use an evidence-based approach to error reduction. We first launched the statement at the LiveMEEG conference in 2020 along with a draft of an ARTEM-IS template for public consultation. Members of the EEG community are invited to join this collective effort to create evidence-based tools that will help make the process of reporting methodology intuitive to complete and foolproof by design.Suzy J StylesVanja KovićHan KeAnđela ŠoškićElsevierarticleEEGNeuroscienceMethodologyHuman errorInternational standardsARTEM-ISNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENNeuroImage, Vol 245, Iss , Pp 118721- (2021)
institution DOAJ
collection DOAJ
language EN
topic EEG
Neuroscience
Methodology
Human error
International standards
ARTEM-IS
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
spellingShingle EEG
Neuroscience
Methodology
Human error
International standards
ARTEM-IS
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Suzy J Styles
Vanja Ković
Han Ke
Anđela Šoškić
Towards ARTEM-IS: Design guidelines for evidence-based EEG methodology reporting tools
description As the number of EEG papers increases, so too do the number of guidelines for how to report what has been done. However, current guidelines and checklists appear to have limited adoption, as systematic reviews have shown the journal article format is highly prone to errors, ambiguities and omissions of methodological details. This is a problem for transparency in the scientific record, along with reproducibility and metascience. Following lessons learned in the high complexity fields of aviation and surgery, we conclude that new tools are needed to overcome the limitations of written methodology descriptions, and that these tools should be developed through community consultation to ensure that they have the most utility for EEG stakeholders. As a first step in tool development, we present the ARTEM-IS Statement describing what action will be needed to create an Agreed Reporting Template for Electroencephalography Methodology - International Standard (ARTEM-IS), along with ARTEM-IS Design Guidelines for developing tools that use an evidence-based approach to error reduction. We first launched the statement at the LiveMEEG conference in 2020 along with a draft of an ARTEM-IS template for public consultation. Members of the EEG community are invited to join this collective effort to create evidence-based tools that will help make the process of reporting methodology intuitive to complete and foolproof by design.
format article
author Suzy J Styles
Vanja Ković
Han Ke
Anđela Šoškić
author_facet Suzy J Styles
Vanja Ković
Han Ke
Anđela Šoškić
author_sort Suzy J Styles
title Towards ARTEM-IS: Design guidelines for evidence-based EEG methodology reporting tools
title_short Towards ARTEM-IS: Design guidelines for evidence-based EEG methodology reporting tools
title_full Towards ARTEM-IS: Design guidelines for evidence-based EEG methodology reporting tools
title_fullStr Towards ARTEM-IS: Design guidelines for evidence-based EEG methodology reporting tools
title_full_unstemmed Towards ARTEM-IS: Design guidelines for evidence-based EEG methodology reporting tools
title_sort towards artem-is: design guidelines for evidence-based eeg methodology reporting tools
publisher Elsevier
publishDate 2021
url https://doaj.org/article/6cec4890f96f4c32837fe886702e926f
work_keys_str_mv AT suzyjstyles towardsartemisdesignguidelinesforevidencebasedeegmethodologyreportingtools
AT vanjakovic towardsartemisdesignguidelinesforevidencebasedeegmethodologyreportingtools
AT hanke towardsartemisdesignguidelinesforevidencebasedeegmethodologyreportingtools
AT anđelasoskic towardsartemisdesignguidelinesforevidencebasedeegmethodologyreportingtools
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