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SayPro Box 6-1. Data and yet no information in Uganda Consulting Service
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In one project in Uganda, field extension staff had kept monthly records for seven years on their work with farmers to establish sustainable livelihood activities, such as planting woodlots, beekeeping, using fuel-efficient stoves and implementing soil conservation measures. There was literally a room full of monthly reports. However, no system had been developed for collating this information and turning it into insights about adoption rates, reasons for differences between villages or differing success rates of particular extension staff. When analysis of the data was attempted, it proved to be impossible because the data was unreliable and very difficult to compare and collate between different project areas. This problem typically arises when the focus is on data collection rather than knowledge generation. Figure 6-1 shows how data travel. Table 6-1 lists questions that need to be considered for each part of the journey. For each performance question and indicator, the journey will be different in terms of the choice of methods, frequency and responsibilities. Irrespective of the journey, be sure that the information you are collecting is helping you answer your performance questions.Figure 6-1. The journey data takeTable 6-1. Preparing the journey for your data
| Steps | Key Questions to Answer |
| Data sample selection | Will a sample be necessary? If yes, how will it be taken in order to be representative of the project’s primary stakeholders? If no, where can you get the information? |
| Data collection | How are you going to find your information: by measuring, interviewing individuals, group discussions, observing? |
| Data recording | Who will use which formats to write, visualise, photograph or take video of data and impressions? |
| Data storing | Where will data (raw and analysed) be stored, how and by whom? Who will have access? |
| Data collation | Who will use what methods to group data into a logically ordered overview? |
| Data analysis | Who will examine the data using what method to give them meaning and synthesise them into a coherent explanation of what happened and what needs to now be undertaken? |
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