Dataset of the vascular e-Learning during the COVID-19 pandemic (EL-COVID) survey

Dataset of the vascular e-Learning during the COVID-19 pandemic (EL-COVID) survey

This dataset supports the findings of the vascular e-Learning during the COVID-19 pandemic survey (the EL-COVID survey). The General Data Protection Regulation (GDPR) of the European Union was taken into consideration in all steps of data handling. The survey was approved by the institutional ethics...

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Bibliographic Details
Main Authors: Nikolaos Patelis, Theodosios Bisdas, Zaiping Jing, Jiaxuan Feng, Matthias Trenner, Nyityasmono Tri Nugroho, Paulo Eduardo Ocke Reis, Stephane Elkouri, Alexandre Lecis, Lamisse Karam, Dirk Le Roux, Mihai Ionac, Marton Berczeli, Vincent Jongkind, Kak Khee Yeung, Athanasios Katsargyris, Efthymios Avgerinos, Demetrios Moris, Andrew Choong, Jun Jie Ng, Ivan Cvjetko, George A. Antoniou, Phillipe Ghibu, Alexei Svetlikov, Fernando Gallardo Pedrajas, Harm P. Ebben, Hubert Stepak, Andrii Chornuy, Sviatoslav Kostiv, Stefano Ancetti, Niki Tadayon, Akli Mekkar, Leonid Magnitskiy, Liliana Fidalgo-Domingos, Sean Matheiken, Eduardo Sebastian Sarutte Rosello, Arda Isik, Georgios Kirkilesis, Kyriaki Kakavia, Sotirios Georgopoulos
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:Data in Brief
Subjects:
e-learning
Training
Education
Distance learning
Vascular surgery
Surgery
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340921007241

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http://www.sciencedirect.com/science/article/pii/S2352340921007241

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