OP Data Café @ EPSC-DPS 2019

SMW1.14 OpenPlanetary Data Café
Convener: Angelo Pio Rossi
Thu, 19 Sep, 13:30–17:00 Pluto (Room 13)

Menu of the Day

Possible/proposed topics:

Tentative agenda

13:30 - 13:45 — Intro to OpenPlanetary and Data Cafe (Nicolas Manaud)

13:45 - 14:00 — Agenda Creation (ALL)

14:00 - 16:45 — Group Activities
14:00 - 14:45 (45 min): ???
14:45 - 15:30 (45 min): ???
15:30 - 16:15 (45 min): ???
16:15 - 16:45 (30 min): ???

16:45 - 17:00 — Wrap-up - Outcomes and follow up (on forum editing)

What is a Data Café?

An OpenPlanetary (OP) Data Café is a place for planetary scientists and software developers to meet and share, discuss, and solve common issues around the topic of data handling and analysis.

We organise OP Data Cafés during splinter sessions at scientific conferences, following an unconference format. An unconference is a participant-driven meeting where the agenda is created by the attendees at the beginning of the event. Anyone who wants to initiate a discussion on a topic can claim a time and a space. Unconferences typically feature open discussions rather than having a single speaker at the front of the room given a talk, although any format is permitted.

At an OP Data Café, you can expect to:

  • learn new tools or techniques that can help you in your workflow,
  • participate in co-creating activities related to community-driven projects,
  • ask for help for a problem you have

The structure, content and duration of an OP Data Café can vary depending of the room space, number of attendees and proposed topics, but it typically follows the following structure principles:

  1. Welcome & Introduction (~15 min): Organisers introduce OpenPlanetary and the OP Data Café of the day.
  2. Agenda Creation (~15 min): Participants (1) propose activities (demo, tutorial, hacks) or formulate questions/problems to be addressed during the Group Activities or to be started via OP Forum; and (2) vote (when too many participants w.r.t. room space). Note: participants can propose topics prior to the event.
  3. Group Activities (~30 min - 2 hours): Participants split up into groups around a table and start the chosen activity.
  4. Wrap Up (~3 min / group): All participants reconvene and each group quickly reports on outcomes/findings from discussions/tutorials/hacks.

How to participate?

Anyone willing to learn something about what is proposed on the Menu of the Day is welcome to join. Before, during and after an OP Data Café we use OP Forum (this forum), and our Github repository dedicated to sharing activity-related materials.

You first need to Sign-up to this forum, then add a new Topic (in category ‘Events and Data Cafes’ > ‘EPSC-DPS 2019’) to either:

  • ask for help if you have a problem in your data processing/analysis workflow, with the hope to find some people who can help you. You can decide instead to join a demo or tutorial activity, which can be followed by a short “Clinic / Q&A” session.

For everyone teaching something or moderating an activity:

  • propose a demo of a tool/technique/workflow helping in solve a problem or complete a task. Your presentation should be short and encourage open discussions at your table.
  • propose a hands-on tutorial at beginner, intermediate or expert level. Any form is accepted as long as related materials and instructions are made accessible from the OP Data Café GitHub repository.
  • propose a hack or co-creating activity aiming to build something useful for the community, or to solve a particular problem, e.g.: write a how-to or short tutorial.

Guidelines

  • Try to describe your proposed activity or question in one short paragraph, keeping in mind your target audience (skills/knowledge level, needs). Think of it as a pitch, a short abstract you could orally expose in less one minute.
  • If needed, use this Github repository to share activity-related materials (e.g: PPT, PDF, Python notebooks, revealjs, etc…).

Note to organisers: Assign the person leading an activity at a particular event: the one making a demo, running a tutorial, or moderating a hack (not necessarily the same person who created the Topic ).

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