With the growing reliance on artificial intelligence (AI) for many different applications, the
sharing of code, data, and models is important to ensure the replicability and …

Information extraction (IE) approaches often play a pivotal role in text analysis and require
significant human intervention. Therefore, a deeper understanding of existing IE practices …

As science becomes increasingly data-intensive, the requirements for comprehensive
Research Data Management (RDM) grow. This often overwhelms scientists, requiring more …

Recent CSCW research on the collaborative design and development of research
infrastructures for the natural sciences has increasingly focused on the challenges of open …

Within the wider open science reform movement, HCI researchers are actively debating how
to foster transparency in their own field. Publication venues play a crucial role in instituting …

For many years, HCI research has been known to suffer from a replication crisis, due to the
lack of openly available datasets and accompanying code. Recent research has identified …

Over the past decade, a crisis of confidence in published scientific findings has catalyzed
widespread response from the research community, particularly in the West. These …

Science faces a reproducibility crisis. There is a need to establish open science practices
within the academic reputation economy. Open Science Badges address this issue by …

One of the pillars of the scientific method is reproducibility–the ability to replicate the results
of a prior study if the same procedures are followed. A lack of reproducibility can lead to …

The uptake of open science resources needs knowledge construction on the side of the
readers/receivers of scientific content. The design of technologies surrounding open science …