Documentation and Usability (The Course)
Course Info
This course includes 1 attempt.
Informatics tools are designed to be used by a broad audience, everyone from entry level graduate students in biology to working professionals. Designing good user experiences can help increase usability of tools, but even for tools with necessarily complicated user interfaces, good documentation and tutorials can have an outsized impact on use and usability. This course is designed to teach principles of documentation and tutorials to tool developers in the ITCR and beyond.
Course Material
- 1 Introduction
- 2 Documentation: Why it’s worth the effort!
- Quiz: Documentation: Why its worth the effort10 attempts allowed
- 3 Lessons we should borrow from user designers
- Quiz: Lessons we should borrow from user-centered design10 attempts allowed
- 4 What does good documentation look like?
- Quiz: What does good documentation look like?10 attempts allowed
- 5 Creating a smooth getting started section
- Quiz: Creating a smooth getting started section10 attempts allowed
- 6 Creating helpful how-to examples
- Quiz: Creating helpful how-to examples10 attempts allowed
- 7 Creating handy reference guides
- Quiz: Creating handy reference guides10 attempts allowed
- 8 Creating clarifying code comments
- Quiz: Creating clarifying code comments10 attempts allowed
- 9 Obtaining user feedback
- Quiz: Obtaining user feedback10 attempts allowed
- 10 Other helpful features
- 11 How to keep your documentation up to date
- Quiz: How to keep your documentation up to date10 attempts allowed
- About this course
- About the Authors
- References
Instructors
Jeff is Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics at the Fred Hutchinson Cancer Center. Previously, he was a professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Data Science Lab. His group develops statistical methods, software, data resources, and data analyses that help people make sense of massive-scale genomic and biomedical data. As the co-director of the Johns Hopkins Data Science Lab he helped to develop massive online open programs that have enrolled more than 8 million individuals and partnered with community-based non-profits to use data science education for economic and public health development. He is a Fellow of the American Statistical Association and a recipient of the Mortimer Spiegelman Award and Committee of Presidents of Statistical Societies Presidential Award.
Sarah Wheelan is an associate professor of Oncology and Molecular Biology and Genetics at the Johns Hopkins University School of Medicine, and has an appointment in the department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. She is a founder and co-director of the Center for Computational Genomics and a co-director of the Experimental and Computational Genomics Core.
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