Selected Abstracts from the 27th Annual Meeting of the Society in Europe for Simulation Applied to Medicine: Development and evaluation of a graduate surgical skills curriculum: How to make medical simulation data Findable, Accessible, Interoperable and Reusable

F.R. Halfwerk*, Connie Clare, E. Groot Jebbink, Marleen Groenier

*Corresponding author for this work

Research output: Contribution to journalConference articleAcademicpeer-review

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Abstract

Introduction
Increasingly more simulation studies are published under the Open Access publishing model making them freely accessible online to everyone. Often, the only aspect that is not yet open are the underlying datasets from these publications. Publishing datasets improves reproducibility and reliability of research, it increases visibility of research, and accelerates innovation. Furthermore, unique and highly valuable data from i.e. simulation-based training or surgical techniques is not available to everyone.
Our aim is to present a best practice for publishing medical simulation data. A study on development and evaluation of a proficiencybased and simulation-based surgical skills training for technical medicine students is used as an example.
Methods
A four-station procedural assessment was developed of basic surgical tasks that included scrubbing and donning, local anaesthesia, incision/excision, and suturing. Performance indicators were determined by an expert panel consisting of four professors in surgery and two technical physicians in surgery. A rubric was developed for scrubbing and donning and procedure-specific rating scales were developed for local anaesthesia, incision/excision, and suturing. The surgical skills training was evaluated after at least one clinical rotation with an online survey.
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 repository is indexed by search engines, i.e. Google Scholar. The data is ‘Accessible’ for everyone under Open Access. To be ‘Interoperable’, MeSH standards were used. Finally, to be ’Reusable’, the data were made readable by translating and describing the assessment scoring rubrics, addition of documentation, and a license permitting data reuse was assigned.
Results & Discussion
Data for 116 master students from two academic years were refined, and student and assessor data anonymised. Age information was grouped by age intervals, so it can be openly published in an external repository. The dataset was made publicly available in the 4TU.ResearchData repository for reuse in i.e. SESAM community. Researchers should be attributed when data is reused under a CC-BY-SA licence. For medical simulation studies, it is feasible to publish data alongside Open Access peer-reviewed journal articles. The FAIR principles for data management should be incorporated in the design and implementation of future simulation studies.
Original languageEnglish
Article number0009
Pages (from-to)7-8
Number of pages2
JournalAdvances in Simulation
Volume7
Issue numberSuppl 1
DOIs
Publication statusPublished - 17 Jun 2022

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