Enhancing Strategic Information (ESI) project

The Enhancing Strategic Information (ESI) project is a multifaceted project that among other things seeks to effectively integrate data quality enhancement techniques with approaches to promote and ensure the occurrence of widespread data use. The project is funded by USAID and implemented by a consortium of South African based firms, two of them – John Snow International and Khulisa Management Services – are tasked with implementing these tasks through close collaboration with government.

Data Quality Sharing Platform

There are a lot of ideas out there on how best to collect, analyse, use and improve programmatic data. Most ideas are great but often they tend to say the same thing albeit in slightly different ways, for instance, a programme logical framework vs. a programme logic model.  The difference is, as they say, the same.  In recognition of the enormous amount of duplication that goes on and numerous attempts at reinventing the wheel, the ESI team has set up a portal where M&E practitioners can share ideas to improve data quality, tools manage data and innovating ways to engage and use the masses of data churned out by those delivering services.

The sharing portal launched at the ESI Data Quality Conference March 23-24, is for use by anyone interested in improving data quality and encouraging data use.  Browse the pages and links for useful information covered at the data quality conference: Standards and Measurement; Tools/Methodology; Data Use/Dissemination Practices; and Quality Improvement InitiativesPost your questions, comments, observations, intuitions (and those thoughts that you just have to share) on the platform to get the party started.

One response to “Enhancing Strategic Information (ESI) project

  1. I’m a data capturer by profession. I had the privilege to be trained DHIS level 1 and DHIS level 2 by you guys ESI. I have been employed by the Department of Health from 01 October 2010 until today. I have an interest in joining your institution if u have vacancies in data related posts. Thank you

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