---
tags: I2K, NGFF, Exported
---

# I2K NGFF Proposal :heart:

**Sent via email to I2K organizers**

## Background

While the structure of tutorials is the responsibility of the tutor,
the following structure may serve as a general guide:

Introduction of the topic, presented by the tutor (20min)
Introduction of each student and their background, presented by the students (2-5min each, 50min)
Practical work and training (2.5h)
Summary and questions (1h)

Please send a proposal to the workshop organizers. Your proposal must include:
- Information about the tutor[s].
- Title and abstract of the tutorial.
- A rough outline how the tutorial will be organized including technical requirements.
- At what time of the day you will be able to host the tutorials.

Via private email:
> The plan is to hold every tutorial twice, in the morning and evening
> of the tutor's time zone (or kids free time) so more students can
> participate. We also want to keep the individual tutorials small (10
> --20), so they will be very interactive. Once the probably highly
> parallel program is established, we will open a call for students and
> they will apply with a small paragraph about their background and
> motivation, and we will then attempt to find an optimal matching that
> maximizes student and tutor preference, schedules and some other
> features.

## Draft

### Tutors:
- Joshua Moore, Open Microscopy Environment, University of Dundee, UK
- Will Moore, Open Microscopy Environment, Unverisity of Dundee, UK
- Christian Tischer, Centre for Bioimage Analysis, EMBL Heidelberg, Germany

### Time of day:
Sessions starting between 0800 and 2000 CET (Berlin/Amsterdam)

### Title:
Towards a community standard image file format for sharing big image data in the cloud

### Keywords
big data, file formats, community standard, cloud storage, parallel access, sharing, visualization

### Abstract:

Bioimaging data, much like the subjects it illuminates, teems with diversity.
But rather than driving evolution, differences in nomenclature and data formats
inhibit sharing.

For users, translating between data formats is imperfect, time-consuming and
must be performed repeatedly. Combined with the growing number of formats and
advancements in both data volume and complexity, translation is increasingly a
bottleneck.

We will present recent work on a next-generation format that aims to enable
a one-time conversion of datasets to a common format as well as the
ability to store them on highly-parallel object storage.

We propose that such a next-generation format can revolutionize the sharing of
bioimaging data by expediting access and driving discovery. We imagine the same
strategy is amenable to image repositories like the BioImage Archive or Image Data Resource,
but also a large number of lab and institutional tools.

### Outline (120 min):

* Introductions (10m)
* The problem of large images in the cloud (Talk) (10m)
* Current efforts and the path towards a community standard (Talk) (10m)
* Accessing cloud hosted image data (Demos & Hands-on)
* Java: BigDataViewer (20m)
* Python: napari (20m)
* Other (Javascript, CLI) (20m)
* Make your own data cloud accessible (Demo) (15m)
* Summary & Questions (Discussion) (15m)

### DELETEME

* Review of already existing solutions (Tischi: we don't have to put this in to the outline that we submit, but keep it in mind of ourselves)
* Cytomine
* Neuroglancer
* N5AWSS3
* ...
* Towards a community standard (Tischi: we should stress that we are aiming to be inclusive also with above mentioned )
* Josh: Perhaps this could be a part of the talk in terms of who all we want to have work together? i.e. everyone is invited.
* Tischi: agree, it should be part of the above Talks. Let's try just to fetch as much information as possible until then.