Dean Jolliffe, D. Mahler, Malarvizhi Veerappan, Talip Kilic, Philip Wollburg
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引用次数: 2
Abstract
Data produced by the public sector can have transformational impacts on development outcomes through better targeting of resources, improved service delivery, cost savings, increased accountability, and more. Around the world, the amount of data produced by the public sector is increasing rapidly, but we argue the full potential of data to improve development outcomes has not been realized yet. We outline 12 features needed for data to generate greater value for development and present case studies substantiating these features. We argue that a key reason why the transformational value of data has not yet been realized is that suboptimal data—data not satisfying these 12 features—are being supplied. The features are that the data should be of adequate spatial and temporal coverage (complete, frequent, and timely), should be of high quality (accurate, comparable, and granular), should be easy to use (accessible, understandable, and interoperable), and should be safe to use (impartial, confidential, and appropriate).
期刊介绍:
The World Bank Journals, including the Research Observer, boast the largest circulation among economics titles. The Research Observer is distributed freely to over 9,100 subscribers in non-OECD countries. Geared towards informing nonspecialist readers about research within and outside the Bank, it covers areas of economics relevant for development policy. Intended for policymakers, project officers, journalists, and educators, its surveys and overviews require only minimal background in economic analysis. Articles are not sent to referees but are assessed and approved by the Editorial Board, including distinguished economists from outside the Bank. The Observer has around 1,500 subscribers in OECD countries and nearly 10,000 subscribers in developing countries.