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Learn about courses, in a wide range of fields at a variety of institutions, where principles and resources from Project TIER have been used to teach transparent research methods.
Course syllabi, exercises, project instructions and other course documents are available for download.
Research Integrity and Responsible ScholarshipVrije Universiteit Amsterdam
The course provides a safe space to discuss research integrity dilemmas and violations, ethics revi…
Research Integrity and Responsible Scholarship
Vrije Universiteit Amsterdam
The course provides a safe space to discuss research integrity dilemmas and violations, ethics review guidelines in faculty, national and European laws and regulations. Students will explore the terrain of scientific integrity and research quality, and discuss violations of integrity, sloppy science and questionable research practices. Students will learn about proper data collection and storage; handling and analysis of data; reliable and verifiable research practices, open science, impartiality, independence and norms on co-authorship. Students will discuss standards of good practice in interaction with societal stakeholders.
Open Science: The New Default in ScienceEindhoven University of Technology
This course is taught by the library and designed for Ph.D. students. It is a component of a larger…
Open Science: The New Default in Science
Eindhoven University of Technology
This course is taught by the library and designed for Ph.D. students. It is a component of a larger section on Open Science required as part of the university’s general training program for Ph.D. students. In this course, the TIER Documentation Protocol is taught as an organizational principle for research data and affiliated objects. Course participants find the Protocol structure helpful for their work.
Advanced Quantitative Data Analysis for Health Care Research IIGeorge Mason University
This is a second year Master of Public Health elective in statistics. Students are already familiar…
Advanced Quantitative Data Analysis for Health Care Research II
George Mason University
This is a second year Master of Public Health elective in statistics. Students are already familiar with regression modeling, and spend this course applying statistical methods. The course aims to introduce some advanced topics (e.g. longitudinal data analysis and survival analysis), while giving students hands-on data analysis experience. This course involves a semester-long data analysis project that uses the Project TIER protocol. The students have previously applied statistical methods in the classroom, but have not seen a data analysis project from start to finish, e.g. identifying the dataset through writing up the final project.