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, version controls, and software documentation. In the end, we will share ideas on how to make the research community more aware of the importance of […]
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 one document, they help in documenting and communicating your analyses. In this talk, I’ll give a brief introduction to Jupyter and also touch on more […]
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 shared alongside the published article. As a reviewer, you often have the possibility of signing your review, to disclose your identity to the authors. In […]
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 your study? Let’s discuss it during this OSC/e lunch meetup.
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 GitHub, R, and Docker. No prior experience of these tools is needed. I will also discuss the challenges that I had when I revisited my […]
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 a powerful alternative. In this session, we’ll explore the latest advancements in synthetic data and introduce BlueGen.ai, a tool for generating high-quality synthetic datasets. We’ll […]
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 is an international effort of voluntary contributors. In this talk Pieter will give a brief introduction to OpenML but also share his experience as a […]
Studies in scientific literature often suffer from systematic biases toward statistically significant findings. Two of the most common sources of such bias are selective reporting and publication bias, both of which can lead to misleading scientific claims. To address these issues, Preregistration and Registered Reports have emerged as tools that aim to counteract such bias […]
This 1,5hrs session explores the importance of reproducibility in research and how 4TU.ResearchData supports researchers in making their work more transparent and trustworthy. We’ll reflect on how 4TU.ResearchData piloted the facilitation of reproducibility checks within the CODECHECK initiative. Join us for a short presentation and open discussion on the value of checking code — and […]
Are you conducting research at TU/e? From now on, responsible management of your research data is not only a good practice: it’s also a requirement. The university has established a new Research Data Management (RDM) Framework Policy, which aims to help you safeguard the future of your research findings and your career. In this session […]