TY  - BOOK
AU  - Verhulst,Stefaan
ED  - Project Muse,
ED  - Project Muse.
TI  - Open Data in Developing Economies : : Toward Building an Evidence Base on What Works and How / 
SN  - 9781928331605
AV  - JF1525.A8 V476 2017
PY  - 2018///
CY  - Baltimore, Maryland
PB  - Project Muse
KW  - Big data
KW  - Developing countries
KW  - Internet in public administration
KW  - Electronic government information
KW  - Electronic books.
KW  - local
N1  - Issued as part of book collections on Project MUSE; Includes bibliographical references; 1. Introduction -- part I. Open data for development -- 2. The relevance of open data for developing economies -- 3. The impact of open data on developing economies -- 4. The impact of open data in developing economies across sectors -- part II. Case studies -- Open data's impact on improving government. 5. Burundi's open RBF -- 6. India's ESMI -- 7. Open Development Cambodia -- 8. Uganda's iparticipate -- Open data's impact on empowering citizens. 9. Gottovote! Kenya -- 10. Tanzania's open education dashboards -- 11. South Africa's Medicine Price Registry -- Open data's impact on creating opportunity. 12. Aclímate Colombia -- 13. Ghana's Esoko -- 14. Jamaica's Interactive Community Mapping -- Open data's impact on solving public problems. 15. Nepal earthquake recovery -- 16. Paraguay's dengue prediction -- part III. Conclusion -- 17. Leveraging open data as a new asset for development; Open Access
N2  - Recent years have witnessed considerable speculation about the potential of open data to bring about wide-scale transformation. The bulk of existing evidence about the impact of open data, however, focuses on high-income countries. Much less is known about open data's role and value in low- and middle-income countries, and more generally about its possible contributions to economic and social development. Open Data for Developing Economies features in-depth case studies on how open data is having an impact across the developing world-from an agriculture initiative in Colombia to data-driven healthcare projects in Uganda and South Africa to crisis response in Nepal. The analysis built on these case studies aims to create actionable intelligence regarding: (a) the conditions under which open data is most (and least) effective in development, presented in the form of a Periodic Table of Open Data; (b) strategies to maximize the positive contributions of open data to development; and (c) the means for limiting open data's harms on developing countries
UR  - https://muse.jhu.edu/book/57263/
ER  -