Management and Curation of Health Data - HDAT9400
Faculty: Faculty of Medicine
School: School of Medical Sciences
Course Outline: MSc Health Data Science
Campus: Sydney
Career: Postgraduate
Units of Credit: 6
EFTSL: 0.12500 (more info)
Indicative Contact Hours per Week: 8
CSS Contribution Charge: 3 (more info)
Tuition Fee: See Tuition Fee Schedule
Further Information: See Class Timetable
View course information for previous years.
Description
This course is designed to equip students with the skills required to appraise the current state of knowledge, collect or obtain data, design data management strategies aligned with best practice, and appreciate the day to day practicalities of data curation for sound data management. The course will develop practical competencies in structured literature reviews (systematic reviews), critical appraisal, meta-analysis and meta-regression. Building upon this, students will develop data wrangling skills required to assemble data suitable for research purposes. Data wrangling skills will focus on the key areas of data security, data exploration, documentation of data (for example data dictionaries), data management, with the ultimate aim of creating analysis ready datasets.
The core content will be delivered through lectures. Problem Based Learning (PBL) practicals have been designed to engage students in the learning process, providing hands on practical examples in the context of Health Data Science. Active and self directed learning will be supported via the Moodle TELT.
research.
2. Appraise a range of database structures and data file formats.
3. Design (and document) data management plans involving data cleaning procedures and generation of metadata.
4. Evaluate data quality.
5. Develop data linkage strategies.
6. Generate syntax (code) required to produce analysis ready datasets.
Tutorials: 2 hours
Web-based online learning activities: 5 hours