Open data, open methods, and reproducible and transparent research are increasingly endorsed by funders, publishers, institutions, and learned societies. But what does making your research open, transparent, and reproducible mean in practice? Where can one learn open skills?

This edition of the Data Conversations will focus on (big) data sets; of course some of the lessons learned from big data sets are generalisable into RDM best practices. After getting an idea about large datasetis in general, we will get an introduction to Zarr and its community. Zarr lets you store your large arrays in chunked and compressed manner. Zarr is based on a open specification which enables to have implementations in various programming languages. NetCDF has a convention on top of Zarr specification known as NCZarr, which is implemented in C and Java.

Researchers, Students and Staff from different Faculties, Institutes, Services and disciplines will have a chance to hear and learn from each other about their experiences.

Come and share your stories and hear others. Find the registration button at the bottom of this page.

Location: the meeting is HYBRID; you can join a Zoom call or come in person to 3D 

Agenda

12:00 - 12:15 Grab your lunch and get comfortable

12:15 - 12:30 Peter Stol Working with (big) data sets

12:30 - 12:45 Sanket Verma (online) The Beauty of Zarr

12:45 - 13:00 Joint Q&A

13:00 - 13:30 (optional) Further discussion, sharing ideas and experiences and networking

About the speakers

Peter Stol

Peter Stol is a research compute engineer at VU Amsterdam. He facilitates researchers in accessing compute cycle and is managing the local cluster computer facilities.

Sanket Verma

Sanket is a data scientist based out of New Delhi, India. He likes to build data science tools and products and has worked with startups, government and organisations. He loves building community and bringing everyone together and is Chair of PyData Delhi and PyData Global. Currently, he’s taking care of the community and OSS at Zarr as their Community Manager. When he’s not working, he likes to play the violin and computer games and sometimes thinks of saving the world!

What to expect?

Data Conversations will feature two short talks from researchers or colleagues who support research. Each talk will be about 10 minutes long. There will be a joint Q&A after the talks.

If you attend in person, don't miss the free lunch at the beginning of the event! Those who are willing to stay longer than an hour are welcome to continue discussion and networking after the presentations. 

Who should attend?

Data Conversations brings together researchers, research support staff and data management and data science experts from all subject areas. Early career researchers, as well as experienced academics, are welcome to attend.

For those who can join us in person, there will be lunch which includes vegetarian and vegan sandwiches and wraps.

About Data Conversations

Data Conversations started at the University of Lancaster in the UK. The Lancaster Data Conversations aim to bring data practitioners together to talk about how researchers create, collect, use and share data. The Data Conversations at the VU Amsterdam share the same aim and are intended to provide a forum for researchers from different subjects and disciplines to exchange practices and ideas around open data, FAIR data, research data management and related open science topics.

Call for Talks

You can attend and benefit from your colleagues' experiences or come and present your own experiences. We welcome short talks on topics related to Open Science and Reproducible Research from early career researchers as well as from more experienced academics and research support staff. This is an informal and inclusive event, so whether you are a seasoned presenter or a first-timer, your contribution will be welcome.

If you would like to propose a talk, please complete this form.