Realistic Multi-Sector Collaborative Management for Production, Dissemination and Use of High-Quality Statistical Information

Music City Center 

This paper explores a range of management topics that can be important for multi-sector collaboration in the production, dissemination and use of high-quality statistical information. Principal attention focuses on statistical information historically produced through government agencies, or other public-stewardship institutions.
First, the paper considers factors that can be important in defining goals for statistical information intended for social welfare. These include identification of high-priority information needs of key stakeholders; and the translation of those needs into particular statistical information products that meet specific criteria for quality, risk and cost.
Those criteria lead to the second topic: exploration of data sources, methodology and technology to carry out the needed statistical work on a sustainable and cost-effective basis. Extensions beyond traditional work with sample surveys and administrative records can lead to in-depth reconsideration of quality criteria, and of related communications with stakeholders.
Third, the paper highlights a range of questions that are important for management of multi-sector collaboration to address the goals described above. These involve:
- Notable contributions available from each sector, including specialized technical and managerial capabilities; stakeholder networks; data sources; and discretionary funds

- Differing sector-level approaches to management of intangible capital; intellectual property rights; stakeholder relationships; and multiple dimensions of quality, cost and risk

- Related implications for transparency on methodology, technology and empirical results

- Other similarities and differences in institutional culture and incentive structures

collaboration

official statistics

artificial intelligence