[Workshop] Image Data Management in the Biological Sciences and Agriculture Research
Authors/Creators
Description
Veranstaltungsformat: Präsenz- und Online-Veranstaltung Veranstaltungsort:
- Hybrid event at University of Kassel (FB 10)
Veranstalter:
- Universitätsbibliothek
- Forschungsdaten-Service
- NFDI4BIOIMAGE
- FAIRagro
- RTG Multiscale Clocks
Zielgruppen:
- Promovierende/Doktorand:innen
- Absolvent:innen
- Wissenschaftliche Mitarbeitende
- Gruppenleitungen
- Postdoktorand:innen/Postdocs
- Mitarbeitende der Universität Kassel
Workshop: Image Data Management in the Biological Sciences and Agriculture Research
Do you work with image data and want to optimize your data management workflows? This workshop provides an overview of the key challenges associated with managing image data and presents available support services. You will learn about useful tools for image data management and how Bioimaging Research Data Management (RDM) can be integrated into your everyday practice.
This workshop will not only provide knowledge in imaging data management but also create an opportunity to get to know each other, network, and exchange ideas.
For the best learning outcome, we recommend in-person attendance.
Content
Module 1:
General Introduction to Imaging Research Data Management
1.00 pm - 1.50 pm: for all audiences, incl. non-bioimaging stakeholders
Module 2:
NFDI4BIOIMAGE: Tools and Software for Bioimage Data Management
FAIRagro: Observation data: From ground robots to UAVs
2.10 pm - 3.00 pm: for researchers at all career levels and tool providers
Module 3:
NFDI4BIOIMAGE: Bioimaging RDM in the everyday-practice
FAIRagro: Satellite and grid data: the view from above
3.10 pm - 4.00 pm: for researchers at all career levels
It is possible to attend individual modules, and your choices can be made during the registration process.
Notes
Files
20251126_WS_UniKassel_Module1_Introduction_public.pdf
Files
(21.4 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:ee1ce422c3a10024bdc3639eb6dd4602
|
5.8 MB | Preview Download |
|
md5:a5163af44b4bad941fbf1849edc2f58c
|
5.8 MB | Preview Download |
|
md5:f02694f6b244ce2ee8672f0c5bb226a3
|
3.5 MB | Preview Download |
|
md5:4a97f7a4cd2243ab9598f88507380c64
|
3.2 MB | Preview Download |
|
md5:e0594fcf99a282c5002f205a71298ff8
|
3.0 MB | Preview Download |