Maximize your competency in data planning and management and validate your technical knowledge to gain the most benefit from your use of ADAPT. Here you will learn about the concepts and find tips to assure that the ADAPT process is properly implemented.
The ADAPT process
The ADAPT helps maintain a process of planning and more specifically helps define the means to measure success of planning. The ADAPT is designed to interface with the National Strategy for the Development of Statistics (NSDS). It provides a consultative platform with a multi-level hierarchy for maintaining content. Before getting your hands-on the application it is good to familiarize yourself with key concepts. To assure success of implementation, please look at the recommendations for success.
What is development data planning?
Development data planning is assuring that development progress is measured. ADAPT is designed to begin with the National Development Plan (NDP). In defining a framework of priorities it is also necessary to define the means which will be used to determine improvements. These indicators will need data for quantifying progress. For the ADAPT, the data that will be used to measure national development indicators are vital. These goals and objectives have links upward to regional and global development frameworks such as the SDGs. There are also links to sector development plans and sub-national development plans. ADAPT provides the means of mapping the various plans and relate them all to the NDP.
Most development plans come in a hierarchical structure. These usually move from the most abstract objectives to the most concrete and measurable indicators. ADAPT begins with this log frame and helps envision the structure. Guidance on log frames is <provided here>.
The ADAPT begins with the NDP and requires defining what indicators are already being produced by the National Statistical System (NSS). It is also relevant to know what data is available, assess the existing data through a systematic process and evaluate the capacity to produce the indicators at regular intervals. After the assessment has been done, a gap analysis is undertaken and provides the basis for future investment.
Summing up, development data planning requires having a broad vision and a narrow focus, which can be linked by carefully choosing all the components that build up the monitoring framework. To aid in this process, PARIS21 developed the Advanced Data Planning Tool (ADAPT). In the following section the logframe approach to development planning will be explained, to link national aspirations to concrete indicators.