Deadline- Rolling
Countries/Region- All Countries
Proposals are invited for Data Preparation and Release Window under 3ie’s(International Initiative for Impact Evaluation) replication programme, intended to increase the transparency of research, and thus the quality of evidence, that influences policy making for development in low- and middle-income countries.
The DPRW grant program provides small grants or independent consulting agreements to the original authors of selected impact evaluations to prepare their raw datasets and accompanying code books for public use and to release them through an online public site. The intent of the DPRW is to fill the gap in public data accessibility as funding requirements and professional standards are catching up to the wave of impact evaluations in international development. DPRW is designed to help mitigate the costs of preparing older datasets for public release so that the data used for policy influential analysis can be made public.
Eligibility–
- Original authors of studies on the 3ie CSL with a publication date before January 2011.
- Original authors of studies with a publication date before January 2011 selected for 3ie in-house replication studies.
Applicants should keep in mind, however, the following key terms of agreements under DPRW-
- The data must be made publicly available. That is, DPRW funds cannot be used just to make data available to replication researchers. The replication programme does not make data public that are provided by original authors to replication researchers of their own accord, but original authors who receive DPRW awards to prepare their data must also release them publicly.
- The data should be publicly released with all necessary documentation for replication within three calendar months of grant/contract signing (applicants should strive to make the data available as soon as possible after signing).
- The data should be raw data, cleaned for keying and coding errors, combined with the necessary documentation for transformations such as the creation of new variables, the cleaning of outliers, the handling of missing values, etc.
- Awardees will receive 50% of the funding upon signing and the remaining 50% once the data and documentation are public and have been checked by the data preparation and release programme.
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