Abstract
Microfocus X-ray computed tomography (μCT)and 3D microscopy scanning create scientific data in the form images. These images are each several tens of gigabytes in size.E-Scientists in medicine require a user-friendly way of storing the data and related metadata and accessing it. Existing management systems allow computer scientists to create automatic image workflows through the use of application programming interfaces(APIs) but do not offer an easy alternative for users less familiar with programming. We present a new approach to the management and curation of biomedical image data and related metadata. Our system, Mata, uses a network file share to give users direct access to their data and also provides access to metadata. Mata also enables a variety of visualization options as required by e-Scientists in medicine.
Original language | English |
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Title of host publication | Proceedings of the 2018 IEEE 14th International Conference on e-Science (e-Science) |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 105-113 |
Number of pages | 9 |
ISBN (Electronic) | 978-1-5386-9156-4 |
ISBN (Print) | 978-1-5386-9157-1 |
DOIs | |
Publication status | Published - 27 Dec 2018 |
Event | 2018 IEEE 14th International Conference on e-Science - Amsterdam, Netherlands Duration: 29 Oct 2018 → 1 Nov 2018 |
Conference
Conference | 2018 IEEE 14th International Conference on e-Science |
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Country/Territory | Netherlands |
City | Amsterdam |
Period | 29/10/18 → 1/11/18 |
Keywords
- noissn
- RCUK
- EPSRC
- 1511465