Merge pull request #154 from neuroinformatics-unit/fix-imaging-data

fixes to big-imaging-data

Author: alessandrofelder

docs/source/open-software-week/big-imaging-data.md

@@ -17,13 +17,13 @@ This course is designed for imaging facility staff, image analysts, and imaging
 
 ## Course overview
 
-__Tuesday morning:__
+__Thursday morning:__
 The technical side of the track will start with an introduction to chunked file formats for big imaging data, such as `OME-zarr`.
 We will then proceed to work on hands-on tutorials to
 - Read and write big imaging data using `zarr`
 - Process big imaging data lazily and in-parallel with `dask`
 
-__Tuesday afternoon:__
+__Thursday afternoon:__
 The community side of the track will start with a very short introduction to existing community efforts in both software engineering [^1]_, imaging[^2]_ and image analysis[^3]_.
 The participants will then join small discussion groups of their choice circling around the wider question: Where next for careers and community in Big Imaging Data?
 The discussions will then be fed back to the wider group, and result in the publication of a blog after the course.
@@ -52,6 +52,13 @@ We will email you at least a week before the event with instructions on installi
 If you're new to Python, we recommend attending our __Intro to Python__ workshop on Monday, or completing an equivalent course beforehand.
 This hands-on session will cover the basics, including data types, control flow, functions, and core libraries—a great way to get up to speed before this event.
 
+### Data
+Bringing your own data is encouraged but not required.
+It's a great chance to get feedback on your data and learn from others.
+If you don't have your own data, we will provide example datasets for you to work with.
+
+We expect that participant-led ideas emerging from this track may inspire collaborative projects during the __Hackday__ on Friday.
+
 ### Related
 
 If you're interested analysis tools for whole-organ imaging (particularly brains), you might also benefit from attending the preceding two-day [BrainGlobe main track](brainglobe.md).
@@ -62,4 +69,4 @@ Fill in [this Google form](https://forms.gle/2UAAzikhSgYArZpX7) to apply. We unf
 
 [^1]: community initiatives around e.g. the [Software Sustainability Institute](https://www.software.ac.uk/), the [Society for Research Software Engineering](https://society-rse.org/about/history/), and The Hidden REF.
 [^2]: For example [BioImagingUK](https://www.rms.org.uk/community/networks-affiliates/bioimaginguk-network.html), [Euro-BioImaging](https://www.eurobioimaging.eu/), [Global Bioimaging](https://globalbioimaging.org/)
-[^3]: For example [neubias](https://eubias.org/NEUBIAS/), [GloBIAS](https://www.globias.org/)
+[^3]: For example [neubias](https://eubias.org/NEUBIAS/), [GloBIAS](https://www.globias.org/)