Second, it is important to find efficient circulation models for data elements to balance data transactions and interactions. This involves nurturing professional talent in the data element market and ...

Data elements that share the same characteristics are grouped. For example, customers that have the same buyer intent, interests, or goals can be grouped. This type is also known as clustering.

Clinical data standards strive to define and standardize data relevant to clinical concepts, with the primary goal of facilitating uniform data collection by providing a platform of clinical terms ...

For example, ExtractEHR-ascertained data have been used to identify typhlitis, a serious and potentially life-threatening complication in leukemia treatment, in a LEARN subcohort. 21 This paper ...

When classifying a data collection, the most restrictive classification of any of the individual data elements should be used. For example, if a data collection consists of a student's name, CMU email ...

With the advancement of industrial globalization and the rise of emerging productive forces, the digital economy has comprehensively penetrated into all aspects of life and work, and its element ...

Second, it is important to focus on the development of data trading platforms to further improve the data element market ecosystem.

Many Data Governance or Data Quality programs focus on “critical data elements,” but what are they and what are some key features to document for them? A critical data element is any data element in ...