Data Management Subjects: Resources:
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Aims: After completion of the course, participants should be able to:
Course schedule [15 weeks]: Week-1 15 January: Orientation 09.00 - 10.30: Course orientation - LOINC, etc,. - Introduce 43-File database 14.45 - 15.30: Install and introduce prerequisite programs; Stata, Navicat, ODBC, XAMPP
Week-2 29 January 09.00 - 16.00: Presentation & discussion on key standards in health informatics
Week-3 5 February [Dr.Wilaiphorn & Team] (1) 9.00 – 16.00: Research Project management - Design essential documents based on protocol; - Case Report Form (CRF), - Log, - Informed Consent Form (ICF), - Standard Operating Procedure (SOP), - ect. - Ethical issues; ICH – GCP training - Develop guideline for data ownership/ data retrieval guideline
Week-4 9.00 – 16.00: Research Project management - Design essential documents based on protocol; - Case Report Form (CRF), - Log, - Informed Consent Form (ICF), - Standard Operating Procedure (SOP), - ect. - Ethical issues; ICH – GCP training - Develop guideline for data ownership/ data retrieval guideline
Week-5 09.00 – 16.00: Design Module in Thai Care Cloud - Design CRFs, Log, ICF in Module
Week-6 26 February [Dr.Kavin & Team] 09.00 – 16.00: Design Module in Thai Care Cloud - Archive essential documents in Module - Create dynamic report in Module
Week-7 09.00 – 16.00:
Week-8 09.00 – 16.00: How to handle complex data (1) - Data cleaning and query management [query and resolution] - Handling complex data using Purify - Relational database implemented by SQL [Link 1, Link 2, Link 3] - Assignment (1) - Present working Modules [3 students]
Week-9 09.00 – 16.00: How to handle complex data (2) - Data cleaning and query management [query and resolution] - Handling complex data using Purify - Relational database implemented by SQL - Assignment (2) - Present working Modules [3 students]
Week-10 09.00 – 16.00: Present Assignment 1 & 2
Week-11 09.00 – 12.00: Big data mining 03.00 – 16.00: Present final working Modules [10 students]
Week-12 09.00 – 16.00: Interested article on data management
Week-13 09.00 – 16.00: Present interested article (1)
Week-14 09.00 – 16.00: Present interested article (2)
Week-15 Course evaluation
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