Knowledge Briefs

This knowledge brief on data reference interview include a list of questions to ask when a researcher has a request related to data.

The knowledge brief on evaluating data documentation includes the characteristics of good documentation and the approaches to evaluate the quality of data documentations.

The knowledge brief on evaluating dataset for research needs guide researchers to assess the fit between the dataset and the research question.  

The knowledge brief on using and evaluating U.S. federal statistics introduces the basic quality standards and guidelines that ensures the quality of federal statistics and how to assess the fit between the statistical datasets and their research needs.

The knowledge brief on understanding administrative data helps users understand administrative data, the benefits of using administrative data, and its limitations.

The knowledge brief on evaluating administrative data guides users to go through the quality dimensions of relevance, accessibility, interpretability, coherence, accuracy, and institutional environment to assess the fitness for use of the administrative data.

The knowledge brief on understanding commercial data helps users understand commercial data, the benefits of using commercial data, and its limitations.

The knowledge brief on evaluating commercial data quality guide users to go through a list of common data quality issues that need researchers' attention.

This knowledge brief on commercial data quality helps users to prepare the conversation of data quality issues with commercial data vendors.

This knowledge brief on commercial data quality helps users to prepare conversation with researchers on data quality issues.

The knowledge brief on evaluating international government data quality help users understand common data quality issues of international government data. 

The knowledge brief on understanding survey data and public polls help users to understand the key concepts in survey research and its methodology with examples for popular surveys and public polls.

The knowledge brief on evaluating survey data quality follows the total survey error framework to help users understand the potential quality issues of survey data.