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? 

During this Data Conversations meeting, we will talk about code. Research today often involve creating software or writing code to generate, process and analyse data. Reproducible science requires not just sharing the paper, but the methods as well. When those methods are partly or entirely captured by computer code, sharing that code is a powerful step towards making your work reproducible.

There are many things to think about when working with software: What documentation should accompany it? How to share it so that other researchers can use it or cite it? How do you take the level of experience of the audience into account? During the meeting, you will hear two short presentations and will be able to ask questions.

Come to meet likeminded people at VU Amsterdam, share your stories and hear others. Find the registration button at the bottom of this page.

Location: the meeting is IN PERSON 3D Club at the Campus

Agenda

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

12:15 - 12:30  Steven Beutick

PyOrb 1.0 – Automated Analysis Tool for Orbital Interactions

12:30 - 12:45 Brett Olivier 

What else are weekends for?

12:45 - 13:00 Joint Q&A

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

Abstracts of the talks

PyOrb 1.0 – Automated Analysis Tool for Orbital Interactions

The PyOrb program, an open-source tool, streamlines the analysis of Kohn-Sham molecular orbital bonding mechanisms in molecules and reactions. It aims to make this method accessible for non-specialist users while providing more experienced computational chemists with a systematic and efficient analysis. Ultimately, this automation allows researchers to focus on creating a broader perspective, saving valuable time.

What else are weekends for?

My research field is Computational Systems Biology and this mostly means I have worked with mathematical models. This includes both building and using them to explore biological phenomena, as well as, building the tools/software needed to run them, new algorithms to understand them and the standards needed to exchange them between different tools. Here I will highlight some things I have learned trying to keep research software alive that worked, and some that didn't (I wish I'd thought of beforehand).

What to expect?

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

This meeting highlights a cooperation between the Open Science Program and an international training program, Open Seeds. This collaboration aims to support courageous individuals and teams willing to take up the challenge to make their research at VU University Amsterdam more open. They receive a monetary award from VU Amsterdam and 16 weeks-long training from the Open Seeds program, starting the end of September. Read more about the collaboration between VU Amsterdamand the Open Seeds training programme inthis blog post. Full information about Open Seeds 8 cohort is provided on OLS website. During this Data Conversations, we will hear from one VU Amsterdam project that is taking part in Open Seeds.

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.

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.