Transit Time Flowmetry During Off-pump Coronary Artery Bypass Surgery: How to Make Clinical Data Findable, Accessible, Interoperable and Reusable

F.R. Halfwerk; Silvia Mariani; Rob Hagmeijer; Connie Clare; J.G. Grandjean

doi:10.1186/s13019-023-02292-4

Abstract

Objectives: Increasingly more clinical studies are published under the Open Access publishing model making them accessible online to everyone for free. Often, the only aspect that is not yet open is the data underlying these publications. Publishing data improves reproducibility and reliability of research, it increases visibility of research, and accelerates innovation. Furthermore, unique and highly valuable data from i.e. rare cardiac diseases or surgical techniques is not available to everyone.

The aim of this study is to present a best practice for publishing clinical data. A clinical study on intraoperative transit-time flowmetry during off‐pump coronary artery bypass surgery and the impact of coronary stenosis on competitive flow is used as an example.

Methods: Data is published according to the FAIR principles: Findable, Accessible, Interoperable and Reusable. To be ‘Findable’, a unique digital object identifier (DOI) was assigned to the dataset, and metadata described the content, contact information, location, items and definitions. The data is ‘Accessible’ for everyone under Open Access. To be ‘Interoperable’, MeSH and STROBE standards were used. Finally, to be ’Reusable’, the data were made readable by others, and a license permitting data reuse was assigned.

Results: Data for 50 study patients were refined, and patient data anonymised. Date of birth information was grouped by age intervals, so it can be openly published in an external repository. Transit time flow measurements, definitions, study protocol, and the variable list were described. The dataset was made publicly available in the 4TU.ResearchData repository. Researchers should be attributed when data is reused under a CC-BY licence.

Conclusion: For cardiac surgery studies, it is feasible to publish data alongside Open Access peer-reviewed journal articles. The FAIR principles for clinical data management should be incorporated in the design and implementation of future clinical studies.

Original language	English
DOIs	https://doi.org/10.1186/s13019-023-02292-4
Publication status	Published - 10 May 2022
Event	Annual Meeting of the Society for Cardiothoracic Surgery in Great Britain and Ireland , SCTS 2022 - ICC, Belfast, United Kingdom Duration: 8 May 2022 → 10 May 2022 https://scts.org/scts_annual_meeting/previous_meetings/scts_annual_meeting_2022.aspx

Conference

Conference	Annual Meeting of the Society for Cardiothoracic Surgery in Great Britain and Ireland , SCTS 2022
Abbreviated title	SCTS 2022
Country/Territory	United Kingdom
City	Belfast
Period	8/05/22 → 10/05/22
Internet address	https://scts.org/scts_annual_meeting/previous_meetings/scts_annual_meeting_2022.aspx

Access to Document

10.1186/s13019-023-02292-4Licence: CC BY

Cite this

Halfwerk, F. R., Mariani, S., Hagmeijer, R., Clare, C., & Grandjean, J. G. (2022). Transit Time Flowmetry During Off-pump Coronary Artery Bypass Surgery: How to Make Clinical Data Findable, Accessible, Interoperable and Reusable. Abstract from Annual Meeting of the Society for Cardiothoracic Surgery in Great Britain and Ireland , SCTS 2022, Belfast, United Kingdom. https://doi.org/10.1186/s13019-023-02292-4

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title = "Transit Time Flowmetry During Off-pump Coronary Artery Bypass Surgery: How to Make Clinical Data Findable, Accessible, Interoperable and Reusable",

abstract = "Objectives: Increasingly more clinical studies are published under the Open Access publishing model making them accessible online to everyone for free. Often, the only aspect that is not yet open is the data underlying these publications. Publishing data improves reproducibility and reliability of research, it increases visibility of research, and accelerates innovation. Furthermore, unique and highly valuable data from i.e. rare cardiac diseases or surgical techniques is not available to everyone.The aim of this study is to present a best practice for publishing clinical data. A clinical study on intraoperative transit-time flowmetry during off‐pump coronary artery bypass surgery and the impact of coronary stenosis on competitive flow is used as an example.Methods: Data is published according to the FAIR principles: Findable, Accessible, Interoperable and Reusable. To be {\textquoteleft}Findable{\textquoteright}, a unique digital object identifier (DOI) was assigned to the dataset, and metadata described the content, contact information, location, items and definitions. The data is {\textquoteleft}Accessible{\textquoteright} for everyone under Open Access. To be {\textquoteleft}Interoperable{\textquoteright}, MeSH and STROBE standards were used. Finally, to be {\textquoteright}Reusable{\textquoteright}, the data were made readable by others, and a license permitting data reuse was assigned.Results: Data for 50 study patients were refined, and patient data anonymised. Date of birth information was grouped by age intervals, so it can be openly published in an external repository. Transit time flow measurements, definitions, study protocol, and the variable list were described. The dataset was made publicly available in the 4TU.ResearchData repository. Researchers should be attributed when data is reused under a CC-BY licence.Conclusion: For cardiac surgery studies, it is feasible to publish data alongside Open Access peer-reviewed journal articles. The FAIR principles for clinical data management should be incorporated in the design and implementation of future clinical studies.",

author = "F.R. Halfwerk and Silvia Mariani and Rob Hagmeijer and Connie Clare and J.G. Grandjean",

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Halfwerk, FR, Mariani, S, Hagmeijer, R, Clare, C & Grandjean, JG 2022, 'Transit Time Flowmetry During Off-pump Coronary Artery Bypass Surgery: How to Make Clinical Data Findable, Accessible, Interoperable and Reusable', Annual Meeting of the Society for Cardiothoracic Surgery in Great Britain and Ireland , SCTS 2022, Belfast, United Kingdom, 8/05/22 - 10/05/22. https://doi.org/10.1186/s13019-023-02292-4

Transit Time Flowmetry During Off-pump Coronary Artery Bypass Surgery: How to Make Clinical Data Findable, Accessible, Interoperable and Reusable. / Halfwerk, F.R.; Mariani, Silvia; Hagmeijer, Rob et al.
2022. Abstract from Annual Meeting of the Society for Cardiothoracic Surgery in Great Britain and Ireland , SCTS 2022, Belfast, United Kingdom.

Research output: Contribution to conference › Abstract › Academic

TY - CONF

T1 - Transit Time Flowmetry During Off-pump Coronary Artery Bypass Surgery

T2 - Annual Meeting of the Society for Cardiothoracic Surgery in Great Britain and Ireland , SCTS 2022

AU - Halfwerk, F.R.

AU - Mariani, Silvia

AU - Hagmeijer, Rob

AU - Clare, Connie

AU - Grandjean, J.G.

PY - 2022/5/10

Y1 - 2022/5/10

N2 - Objectives: Increasingly more clinical studies are published under the Open Access publishing model making them accessible online to everyone for free. Often, the only aspect that is not yet open is the data underlying these publications. Publishing data improves reproducibility and reliability of research, it increases visibility of research, and accelerates innovation. Furthermore, unique and highly valuable data from i.e. rare cardiac diseases or surgical techniques is not available to everyone.The aim of this study is to present a best practice for publishing clinical data. A clinical study on intraoperative transit-time flowmetry during off‐pump coronary artery bypass surgery and the impact of coronary stenosis on competitive flow is used as an example.Methods: Data is published according to the FAIR principles: Findable, Accessible, Interoperable and Reusable. To be ‘Findable’, a unique digital object identifier (DOI) was assigned to the dataset, and metadata described the content, contact information, location, items and definitions. The data is ‘Accessible’ for everyone under Open Access. To be ‘Interoperable’, MeSH and STROBE standards were used. Finally, to be ’Reusable’, the data were made readable by others, and a license permitting data reuse was assigned.Results: Data for 50 study patients were refined, and patient data anonymised. Date of birth information was grouped by age intervals, so it can be openly published in an external repository. Transit time flow measurements, definitions, study protocol, and the variable list were described. The dataset was made publicly available in the 4TU.ResearchData repository. Researchers should be attributed when data is reused under a CC-BY licence.Conclusion: For cardiac surgery studies, it is feasible to publish data alongside Open Access peer-reviewed journal articles. The FAIR principles for clinical data management should be incorporated in the design and implementation of future clinical studies.

AB - Objectives: Increasingly more clinical studies are published under the Open Access publishing model making them accessible online to everyone for free. Often, the only aspect that is not yet open is the data underlying these publications. Publishing data improves reproducibility and reliability of research, it increases visibility of research, and accelerates innovation. Furthermore, unique and highly valuable data from i.e. rare cardiac diseases or surgical techniques is not available to everyone.The aim of this study is to present a best practice for publishing clinical data. A clinical study on intraoperative transit-time flowmetry during off‐pump coronary artery bypass surgery and the impact of coronary stenosis on competitive flow is used as an example.Methods: Data is published according to the FAIR principles: Findable, Accessible, Interoperable and Reusable. To be ‘Findable’, a unique digital object identifier (DOI) was assigned to the dataset, and metadata described the content, contact information, location, items and definitions. The data is ‘Accessible’ for everyone under Open Access. To be ‘Interoperable’, MeSH and STROBE standards were used. Finally, to be ’Reusable’, the data were made readable by others, and a license permitting data reuse was assigned.Results: Data for 50 study patients were refined, and patient data anonymised. Date of birth information was grouped by age intervals, so it can be openly published in an external repository. Transit time flow measurements, definitions, study protocol, and the variable list were described. The dataset was made publicly available in the 4TU.ResearchData repository. Researchers should be attributed when data is reused under a CC-BY licence.Conclusion: For cardiac surgery studies, it is feasible to publish data alongside Open Access peer-reviewed journal articles. The FAIR principles for clinical data management should be incorporated in the design and implementation of future clinical studies.

UR - https://www5.shocklogic.com/Client_Data/SCTS/al/SCTS2022/upload/FSCTS-SCTS2022-5344416-FAIRDatasharingSCTS2022PresentationHalfwerk.mp4 Final published version

U2 - 10.1186/s13019-023-02292-4

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M3 - Abstract

Y2 - 8 May 2022 through 10 May 2022

ER -

Halfwerk FR, Mariani S, Hagmeijer R, Clare C, Grandjean JG. Transit Time Flowmetry During Off-pump Coronary Artery Bypass Surgery: How to Make Clinical Data Findable, Accessible, Interoperable and Reusable. 2022. Abstract from Annual Meeting of the Society for Cardiothoracic Surgery in Great Britain and Ireland , SCTS 2022, Belfast, United Kingdom. doi: 10.1186/s13019-023-02292-4

Transit Time Flowmetry During Off-pump Coronary Artery Bypass Surgery: How to Make Clinical Data Findable, Accessible, Interoperable and Reusable

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Data underlying the Research on "Development and Evaluation of a Proficiency-based and Simulation-based Surgical Skills Training for Technical Medicine Students"

Intraoperative transit time flow measurements during off‐pump coronary artery bypass surgery: The impact of coronary stenosis on competitive flow

Cite this

Transit Time Flowmetry During Off-pump Coronary Artery Bypass Surgery: How to Make Clinical Data Findable, Accessible, Interoperable and Reusable

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Datasets

Data underlying the Research on "Development and Evaluation of a Proficiency-based and Simulation-based Surgical Skills Training for Technical Medicine Students"

Research output

Intraoperative transit time flow measurements during off‐pump coronary artery bypass surgery: The impact of coronary stenosis on competitive flow

Cite this