A data dictionary defines and describes each variable in a data set, giving you a clear understanding of the indicators you’re working with. Here's our advice on how to make one for your program.
There is a lot that goes into properly conducting both baseline and endline surveys, from scheduling to audience selection and survey design. Here are five considerations for better surveys, giving you cleaner, more accurate data.
Earlier this month, USAID released a set of considerations for using data responsibly. The document raises issues on the balance between data use, privacy and security, and transparency and accountability.
The process of developing a data collection plan will reveal things about where your data comes from, who has access to it, and how it is collected and stored – all of which will inform the design and implementation of any new system you choose.
There are many options to choose from and each one has strengths in a different area. The type of data you are looking to collect, as well as the characteristics of its source and environment, should all inform what method of data collection makes the most sense for your program.
How can you get rid of all the noise and focus on what you need to get the job done? A clear understanding of your data requirements will help narrow your focus and identify a method of data collection that serves your needs precisely.
A well-articulated project objective becomes a lens through which you can examine each step of your data collection program. Learn how to start your program with a clearly defined project objective to make the rest of the process go a bit smoother.
We owe it to each other and to the success of our projects to work collaboratively. That means asking specific and important questions early in the development stage of avoid conflict later and prepare you for the changes that will surely come down the road.
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