OSCE Meetup: Creating reproducible research code
The goal of reproducible data analysis is to document and communicate your analysis so that others can easily follow your steps and replicate its results. We will discuss software environments, […]
The goal of reproducible data analysis is to document and communicate your analysis so that others can easily follow your steps and replicate its results. We will discuss software environments, […]
Notebooks have received an increasing amount of attention in the past few years as they provide an interface where code, data, and narrative can meet. By combining these elements in […]
Design Research is going through a phase of digital transformation: in our research, we increasingly rely on data collected from remote contexts, engage in data-enabled (co-)design, and work with data-intensive […]
Peer review is one method of quality control in scientific publishing. A topic of discussion in the open science community is open peer review, where the peer review reports are […]
This event is postponed until November The Publishing Trap is an open-source board game that allows participants to explore the impact of scholarly communications choices and discuss the role of […]
Preregistration is the practice of documenting your research plan at the beginning of your study and storing that plan in a read-only public repository. But: are there drawbacks to preregistering […]
Join a Community Networking event with drinks and snacks where we can discuss how we can incorporate open science principles into our daily lives as researchers. The idea is simple: […]
During this hands-on event, you will have a chance to get familiar with the new 4TU.ResearchData repository by using your own data. You will also be able to exchange ideas […]
Why Attend? Gain Insights: Understand what Open Science means for you and how it can benefit your research. Inspiring Examples: Discover inspiring examples of Open Science practices from the TU/e […]
Interested in making your thesis open & reproducible? I went into the rabbit hole, so you don’t have to. I will share my experience of writing my PhD thesis, using […]
The use and sharing of real data presents several challenges, including privacy risks, confidentiality concerns, access limitations. Even when available, it may not be fit for purpose. Synthetic data offers […]
OpenML is a platform that democratizes machine learning by facilitating open science in machine learning research. While the platform is founded in the Netherlands and hosted in Eindhoven, its development […]