التفاصيل البيبلوغرافية
العنوان: |
An agenda-setting paper on data sharing platforms:euCanSHare workshop |
المؤلفون: |
Devriendt, T. (Thijs), Ammann, C. (Clemens), Asselberghs, F. W. (Folkert W.), Bernier, A. (Alexander), Costas, R. (Rodrigo), Friedrich, M. G. (Matthias G.), Gelpi, J. L. (Josep L.), Järvelin, M.-R. (Marjo-Riitta), Kuulasmaa, K. (Kari), Lekadir, K. (Karim), Mayrhofer, M. T. (Michaela Th.), Papez, V. (Vaclav), Pasterkamp, G. (Gerard), Petersen, S. E. (Steffen E.), Schmidt, C. O. (Carsten Oliver), Schulz-Menger, J. (Jeanette), Söderberg, S. (Stefan), Shabani, M. (Mahsa), Veronesi, G. (Giovanni), Viezzer, D. S. (Darian Steven), Borry, P. (Pascal) |
بيانات النشر: |
F1000 Research |
سنة النشر: |
2021 |
المجموعة: |
Jultika - University of Oulu repository / Oulun yliopiston julkaisuarkisto |
مصطلحات موضوعية: |
data infrastructure, data sharing, incentives, open science, science policy |
الوصف: |
Various data sharing platforms are being developed to enhance the sharing of cohort data by addressing the fragmented state of data storage and access systems. However, policy challenges in several domains remain unresolved. The euCanSHare workshop was organized to identify and discuss these challenges and to set the future research agenda. Concerns over the multiplicity and long-term sustainability of platforms, lack of resources, access of commercial parties to medical data, credit and recognition mechanisms in academia and the organization of data access committees are outlined. Within these areas, solutions need to be devised to ensure an optimal functioning of platforms. |
نوع الوثيقة: |
article in journal/newspaper |
وصف الملف: |
application/pdf |
اللغة: |
English |
Relation: |
info:eu-repo/grantAgreement/EC/H2020/824989/EU/A federated FAIR platform enabling large-scale analysis of high-value cohort data connecting Europe and Canada in personalized health/EUCAN-Connect |
الاتاحة: |
http://urn.fi/urn:nbn:fi-fe2021111254969 |
Rights: |
info:eu-repo/semantics/openAccess ; © 2021 Devriendt T et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ; https://creativecommons.org/licenses/by/4.0/ |
رقم الانضمام: |
edsbas.247F87AE |
قاعدة البيانات: |
BASE |