Cover: Data strategies for policymaking

Data strategies for policymaking

Identifying international good practice: Final report

Published May 19, 2011

by Philipp-Bastian Brutscher, Jan Tiessen, Alaa Shehabi, Daniel Schweppenstedde, Claire Celia, Christian Van Stolk, Tom Ling

Download eBook for Free

Full Document

FormatFile SizeNotes
PDF file 1.8 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.

Summary Only

FormatFile SizeNotes
PDF file 0.2 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.

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.

Research conducted by

The research described in this report was prepared for the European Commission Directorate General for Health and Consumers (DG SANCO) by RAND Europe.

This report is part of the RAND technical report series. RAND technical reports may include research findings on a specific topic that is limited in scope or intended for a narrow audience; present discussions of the methodology employed in research; provide literature reviews, survey instruments, modeling exercises, guidelines for practitioners and research professionals, and supporting documentation; or deliver preliminary findings. All RAND reports undergo rigorous peer review to ensure that they meet high standards for research quality and objectivity.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.