There are a lot of ways we can judge whether a data source is a good choice, but certain core features are required (and not optional). In this video, learn how to effectively evaluate data sources.
- [Narrator] When we evaluate data sources, … we want to find information that will allow us … to assess the availability, usability, accuracy, … and quality of the data source. … This information may not always be in one place, … and it may not necessarily be easy to categorize … the information that we find … into one of these four categories. … There will be times when there's an overlap, for instance, … the accuracy or lack thereof can … of course influence the usability of a file. … And then there will be other times where it fits nicely … into one of these buckets. … While this framework is helpful … for conceptualizing the bigger picture, … the bigger problem that we are dealing with … when we look at data, in reality, of course, … we don't think about problems in this manner. … We don't get it just as a quality issue. … We are usually looking at more intricate details … about our situation. … When we work with data, … we often have questions associated … with actions that we take to process the data or to use it. …
This course was created by Madecraft. We are pleased to host this content in our library.
- Identifying high-quality data sources
- Evaluating data usability, accuracy, and more
- COVID-19 data sources
- Challenges and takeaways