Countdown ODA+ Dataset
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Grollman, C, Arregoces, L, Pitt, C, Borghi, J, Martinez-Alvarez, M, Powell-Jackson, T, Hsu, J and Greco, G. 2017. Countdown ODA+ Dataset. [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: 10.17037/DATA.127
Grollman, C, Arregoces, L, Pitt, C, Borghi, J, Martinez-Alvarez, M, Powell-Jackson, T, Hsu, J and Greco, G. Countdown ODA+ Dataset. [Internet] LSHTM Data Compass. London, United Kingdom: London School of Hygiene & Tropical Medicine; 2017. Available from: 10.17037/DATA.127
This is the latest version of this item.
An updated version of the Countdown ODA+ dataset. This dataset contains 2.1 million records which were used to generate estimates of official development assistance (ODA) to reproductive, maternal, newborn and child health (RMNCH) based upon donor, recipient country and activity type between 2003–2013.
Disbursement information on donor-reported ODA and private grants were obtained from the Organisation for Economic Co-operation and Development (OECD) Creditor Reporting System in January 2015 and coded based on donor name, project title, short and long descriptions, and CRS code describing the disbursement purpose. The coding scheme classifies records according to the degree to which they would promote attainment of Millennium Development Goals 4 and 5 (reproductive and sexual health, maternal and newborn health, and child health, RMNCH). We also classified records according to whether they supported prenatal and newborn health (PNH).
The dataset includes project funding as well as allocating shares of general budget support, health sector support and basket funding based on recipient country characteristics. The data can be used for analysis of resource flows to RMNCH or to other purposes or beneficiaries.
This dataset uses OECD CRS data: https://stats.oecd.org/Index.aspx?DataSetCode=CRS1 (accessed 7th January 2015). CRS data are copyright OECD and free to use for any purpose with acknowledgement of their source.
|Completed Date:||11 January 2017|
|Data capture method:||
|Data Creators(s):||Grollman, C, Arregoces, L, Pitt, C, Borghi, J, Martinez-Alvarez, M, Powell-Jackson, T, Hsu, J and Greco, G|
|LSHTM Faculty/Department:||Faculty of Public Health and Policy > Dept of Global Health and Development|
|Research Centre:||Centre for Evaluation|
|Research Group:||Countdown to 2015|
|Participating Institutions:||London School of Hygiene & Tropical Medicine|