The research data management (RDM) readiness model assists research institutions in
measuring their readiness level and identifying gaps to develop a strategy for implementing …

Many research funders mandate researchers to create and maintain data management
plans (DMPs) for research projects that describe how research data is managed to ensure …

Research data management (RDM) poses a significant challenge for academic
organizations. The creation of library research data services (RDS) requires assessment of …

In recent years, various initiatives from within and outside the HCI field have encouraged
researchers to improve research ethics, openness, and transparency in their empirical …

Data curation is the process of making a dataset fit-for-use and archivable. It is critical to data-
intensive science because it makes complex data pipelines possible, studies reproducible …

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 …

In this paper, we introduce an innovative design concept for the curation of data, which we
call'Data Story'. We view this as an additional resource for data curation, aimed specifically …

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 …

Recent years have introduced major shifts in scientific reporting and publishing. The
scientific community, publishers, funding agencies, and the public expect research to adhere …

Research data curation is the act of carefully preparing research data and artifacts for
sharing and long-term preservation. Research data management is centrally implemented …