Data Management involves the knowledge and skills required to navigate internal and external systems to locate, access, organize, protect and store data related to the organization’s needs. Data harmonization includes standardizing data across sampled populations, sources, formats, timing, and systems to ensure that they can be merged and analyzed together.
Data Management involves the knowledge and skills required to navigate internal and external systems to locate, access, organize, protect and store data related to the organization’s needs. Data harmonization includes standardizing data across sampled populations, sources, formats, timing, and systems to ensure that they can be merged and analyzed together.
The goal of this course is to understand the ingredients essential for successful data sharing and how this information can be used to harness recipes for ethical and effective data sharing partnerships.
This course answers the basic SNA question:
“Who does what, where, by what means, for what purpose, with whom, in exchange for what, with what change in stocks.”
This self-paced training is aimed at those who are new to data or those who have some experience with data but may need a refresher or want to expand their knowledge.