How to cite this record
FAIRsharing.org: GMISR; Guideline for Minimum Information Stroke Research and Clinical Data Reporting; DOI: https://doi.org/10.25504/FAIRsharing.KfGESz;
Last edited: Sept. 20, 2019, 11:52 a.m.; Last accessed: Nov 27 2020 12:33 a.m.
Publication for citation
Proposed Guideline for Minimum Information Stroke Research and Clinical Data Reporting.
Kumuthini, J, Zass, L, Chaouch, M, Thompson, M, Olowoyo, P, Mbiyavanga, M, Moyinoluwalogo, F, Wells, G, Nembaware, V, Mulder, NJ, Owolabi, M and H3ABioNet Consortium’s Data and Standards Working Group as members of the H3Africa Consortium. ; Data Science Journal ;
2019;
https://doi.org/10.5334/dsj-2019-026;
Edits to 'https://fairsharing.org/FAIRsharing.KfGESz' by 'The FAIRsharing Team' at 20:15, 26 Jul 2019 (approved):
'organizations' has been modified:
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NIH|https://datascience.nih.gov|Funds
https://h3abionet.org|https://cbio.uct.ac.za|Funds
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National Institutes of Health (NIH), Bethesda, MD, USA|http://www.nih.gov|Funds
H3ABioNet|https://www.h3abionet.org|Maintains
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National Institutes of Health (NIH), Bethesda, MD, USA|http://www.nih.gov|Funds
H3ABioNet|https://www.h3abionet.org|Maintains
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NIH|https://datascience.nih.gov|Funds
https://h3abionet.org|https://cbio.uct.ac.za|Funds
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online documentation|https://www.h3abionet.org/images/DataAndStandards/DataStandards/Recommendations_For_Use_Guideline.pdf
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online documentation|https://www.h3abionet.org/images/DataAndStandards/DataStandards/Recommendations_For_Use_Guideline.pdf
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Before: Proposed Guideline for Minimum Information Stroke Research and Clinical Data Reporting
After: Guideline for Minimum Information Stroke Research and Clinical Data Reporting
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Medical Informatics
Medicine
Neurology
Preclinical and Clinical Studies
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Medical Informatics
Medicine
Neurology
Preclinical and Clinical Studies
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Minimum Information Guideline for Kidney Disease: Research and Clinical Data Reporting
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Minimum Information Guideline for Kidney Disease: Research and Clinical Data Reporting
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Download Data Dictionary (xslx)
Download Guideline (XML Schema)
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Download Data Dictionary (xslx)
Download Guideline (XML Schema)
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U41HG006941.
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U41HG006941
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U41HG006941
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U41HG006941.
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Before: The management and analyses of large datasets is one of the grand challenges of modern biomedical research. Establishing methods to harmonise and standardise data collection, reporting, sharing and the employed data dictionaries, can support the resolution of these challenges whilst improving research quality, data quality and integrity, allowing sustainable knowledge transfer through re-usability, interoperability, reproducibility. The current project aimed to develop and propose a standardised reporting guideline for stroke research and clinical data reporting. Through systematic consolidation and harmonization of published data collection and reporting standards, including PhenX, MIAPE and more, several recommendations were drafted for the proposed guideline. These recommendations were reviewed by domain-researchers and clinicians using an online survey, developed in REDCap.
After: The Guideline for Minimum Information Stroke Research and Clinical Data Reporting (GMISR) is a standardised reporting guideline for stroke research and clinical data reporting.
Edits to 'https://fairsharing.org/FAIRsharing.KfGESz' by 'The FAIRsharing Team' at 20:07, 26 Jul 2019 (approved):
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Edits to 'https://fairsharing.org/FAIRsharing.KfGESz' by 'The FAIRsharing Team' at 10:40, 11 Jul 2019 (approved):
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'homepage' has been modified:
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After: https://www.h3abionet.org/data-standards/datastds
Edits to 'https://fairsharing.org/FAIRsharing.KfGESz' by 'The FAIRsharing Team' at 14:58, 10 Jul 2019 (approved):
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Before: The management and analyses of large datasets is one of the grand challenges of modern biomedical research. Establishing methods to harmonise and standardise data collection, reporting, sharing and the employed data dictionaries, can support the resolution of these challenges whilst improving research quality, data quality and integrity, allowing sustainable knowledge transfer through re-usability, interoperability, reproducibility. The current project aimed to develop and propose a standardised reporting guideline for stroke research and clinical data reporting. Through systematic consolidation and harmonization of published data collection and reporting standards, including PhenX, MIAPE and more, several recommendations were drafted for the proposed guideline. These recommendations were reviewed by domain-researchers and clinicians using an online survey, developed in REDCap.
After: The management and analyses of large datasets is one of the grand challenges of modern biomedical research. Establishing methods to harmonise and standardise data collection, reporting, sharing and the employed data dictionaries, can support the resolution of these challenges whilst improving research quality, data quality and integrity, allowing sustainable knowledge transfer through re-usability, interoperability, reproducibility. The current project aimed to develop and propose a standardised reporting guideline for stroke research and clinical data reporting. Through systematic consolidation and harmonization of published data collection and reporting standards, including PhenX, MIAPE and more, several recommendations were drafted for the proposed guideline. These recommendations were reviewed by domain-researchers and clinicians using an online survey, developed in REDCap.
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Before: Judit Kumuthini
After: Judit Kumuthini
Guideline for Minimum Information Stroke Research and Clinical Data Reporting
