| xyzrins:publications/e62958e2-a3ce-4a67-8059-97075812f712 |
xyzrins:publications/e62958e2-a3ce-4a67-8059-97075812f712 |
10.1007/s10334-021-00942-z |
2021-07-31 |
ESMRMB annual meeting roundtable discussion: “Challenges and solutions in data sharing—an MRI perspective” |
As part of the program of the upcoming 2021 Annual meeting of the European Society for magnetic Resonance in
Medicine and Biology (ESMRMB), the program meeting committee challenged various scientists involved in data
sharing of MRI datasets to join a roundtable discussion. With the increasing attention to data sharing and open
science, there is a growing need to make data publicly available. Both funders and scientists play active roles in this
effort. There are now guidelines on how to make data Findable, Accessible, Interoperable and Reusable (FAIR) (https://www.go-fair.org/), and many funders require datasets and published works to be openly accessible. While it might seem obvious that data which have been generated using public resources should be available to the community, there are challenges associated with sharing data, and some of these are specific to MRI. For the roundtable discussion, we have invited contributions from different scientists involved in open science and data sharing and have asked them to reflect on various aspects of data sharing of MRI data. |
bibo:AcademicArticle |
| pid |
given_name |
family_name |
| xyzrins:persons/stephan-heunis |
Stephan |
Heunis |
|
| pid |
given_name |
family_name |
| xyzrins:persons/adina-wagner |
Adina |
Wagner |
|
|
| pid |
display_label |
| xyzrins:topics/research-data-management |
Research data management (RDM) |
|
| pid |
display_label |
| xyzrins:topics/research-data |
Research data |
|
| pid |
display_label |
| xyzrins:topics/distributed-systems |
Distributed systems |
|
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