Good data are essential for conducting good research, statistical analysis, and program evaluations and measuring performance. Among other features, the data must be accessible, timely, secure, and relevant to the particular purpose and users. Each analytic use may have its own data, but often they use the same data sources. Even if they use the same data sources, though, different purposes can require different forms of the same data, such as individual-level versus aggregate information, personally identifiable versus anonymized data, program administrative (reporting) data, proprietary business or company information, and federal, state, or local data.
Join the Urban Institute’s Federal Evaluation Forum for this virtual public event addressing some of the major opportunities and challenges in developing evidence on public policy issues. We will focus on some of the main categories of evidence: statistical reports, program evaluation, performance management, and policy research.
The forum will address the following questions:
1. What types of data infrastructure are needed to build good evidence in the public sector? How are data needs similar or different for evaluation, statistical reports, policy research, and performance management?
2. What are some of the key issues to consider to strengthen the kinds of data infrastructure needed for the different types of evidence?
3. How can privacy and confidentiality be protected while also providing essential data for evaluation, research, and statistical purposes?
4. What can the federal government and agencies do to build and maintain appropriate infrastructure?