The Data Stewardship Crash Course
The Data Stewardship Crash Course
Course in research data management. In this data steward training, you will gain in-depth knowledge of the research data infrastructure
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Learn The Data Stewardship Crash Course
- Gain a clear understanding about Data Stewardship
- Gain a clear understanding of the Data Stewardship's role in Data Governance
- Gain a clear understanding of how a Data Governance Program Office is structured
- Gain a clear understanding on the key components and responsibilities of the Data Governance Program Office
- Gain a clear understanding of the importance of Data Stewardship in the organization
Welcome to the Data Stewardship crash course series.
This course is the first of several series and we are going to cover the key aspects of data governance and data stewardship, starting with definitions and moving on to a Data Governance Program Office framework/setup.
When working with data, there are numerous challenges that need to be overcome, including the fact that Data does not explain itself and someone is needed to ensure that data is not just explained, but maintained. Someone must interpret the data, including what it means, how to use it correctly, and how to determine whether the data is of good quality or not.
Data is shared and used by many people for a variety of purposes. So, finding ownership and accountability for the data can be a challenge, in particular when the data is inaccurate.
This course will give you the needed knowledge regarding data, its importance, and how to manage it.
To ensure the best learning experience, each lesson is accompanied by a quiz to help ensure that the most important topics are really understood and learned.
This course series is open to students within all levels of knowledge of Data Governance, from total beginner to advanced. This particular course series is more of an introduction to the topic, but we believe that even for an advanced data practitioner, the course brings value. The subsequent series will touch more advanced topics which may be of more interest for advanced level data practitioners, but taking all the series will ensure no gaps in knowledge.
