Monday, June 13, 2011

[EQ] Data strategies for policymaking - Identifying international good practice

Data strategies for policymaking

Identifying international good practice

Philipp-Bastian Brutscher, Jan Tiessen, Ala’a Shehabi, Daniel Schweppenstedde, Claire Celia, Christian van Stolk, Tom Ling

Prepared for the European Commission Directorate General for Health and Consumers (DG SANCO)

The RAND Corporation

Available online PDF [99p.] at:

“…..With the move towards evidence-based policymaking, the need for high-quality data — which can include statistical and qualitative data, but also existing research — has increased for policy makers and public sector organisations. Against this background DG SANCO asked RAND Europe to explore international good practice of using data in policymaking. Based on previous research in this field, this report develops a conceptual framework for characterising and classifying the different elements of a data strategy for public sector organisations. This framework comprises the key questions of how to identify and define data needs, how to collect data, how to analysis and how to use data.


This framework is then applied to the analysis of thirteen cases studies. These thirteen case studies illustrate how different organisations in the fields of health, consumer, food and feed safety and animal welfare policy handle their data needs in policy making. The report concludes by identifying the key choices that need to be made in developing and implementing a data strategy for policymaking….”


Executive Summary

Background and rationale

CHAPTER 1 Introduction

1.1 Evidence-based policymaking and the need for data

CHAPTER 2 A conceptual framework of data strategies

CHAPTER 3 Identifying and prioritising data needs

CHAPTER 4 Data collection

CHAPTER 5 Data management

CHAPTER 6 Data analysis

CHAPTER 7 Data use

CHAPTER 8 Revising the linear model

CHAPTER 9 Conclusions and recommendations



Appendix A: Methodology
Literature review
Interview template


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