10 Things for Curating Reproducible and FAIR Research (CURE-FAIR) provides standards-based guidelines to follow CURE-FAIR best practices with regards to publishing and archiving computationally reproducible studies, including the associated …
This course coversa range of approachesthat aim to enhance the transparency and reproducibility of social science research. It is appropriate for Ph.D. students in social science disciplines and related fields.
We created a software tool that accurately removes all patient identifying information from various kinds of clinical data documents, including laboratory and narrative reports. We created the Medical De-identification System (MeDS), a software tool …
Societies invest in scientific studies to better understand the world and attempt to harness such improved understanding to address pressing societal problems. Published research, however, can be useful for theory or application only if it is …
Social determinants of learning (SDOL) impact students’ abilities to successfully complete their courses. An economic barrier for vulnerable students is the skyrocketing cost of textbooks. An innovative strategy to promote equity in educational …
Data-driven computational analysis is becoming increasingly important in biomedical research, as the amount of data being generated continues to grow. However, the lack of practices of sharing research outputs, such as data, source code and methods, …
Beginning January 2014, Psychological Science gave authors the opportunity to signal open data and materials if they qualified for badges that accompanied published articles. Before badges, less than 3% of Psychological Science articles reported open …
The purpose of this course is to acquaint students with recent developments in open science and reproducibility of the research workflow. By the end of this course students will be familiar with documenting their research workflow (e.g., idea …