Difference between revisions of "Secondary Data Sources"
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Secondary data is data collected by any party other than the researcher, including administrative data from programs, geodata from specialized sources, and census or other population data from governments. Secondary data provides important context for any investigation, and in some cases (such as administrative program data) it is the only source which covers the full population needed to conduct a research project. | '''Secondary data''' is data collected by any party other than the researcher, including [[Administrative Data|administrative data]] from programs, [[Geo Spatial Data|geodata]] from specialized sources, and census or other population data from governments. Secondary data provides important context for any investigation, and in some cases (such as administrative program data), it is the only source which covers the full population needed to conduct a research project. | ||
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Impact | == Read First == | ||
* Research teams usually rely on two broad categories of data - [[Primary Data Collection|primary data]], and '''secondary data'''. | |||
* Impact evaluations rely on many different sources of '''secondary data''', such as: [[Administrative|administrative]], [[Geo Spatial Data|geospatial]], [[Remote Sensing|sensor]], [[Telecom Data|telecom]], and '''crowd-sourcing'''. | |||
* Research teams should decide on the kind of data they want to use, based on context and project-needs. | |||
== Guidelines == | == Guidelines == | ||
Revision as of 18:17, 30 June 2022
Secondary data is data collected by any party other than the researcher, including administrative data from programs, geodata from specialized sources, and census or other population data from governments. Secondary data provides important context for any investigation, and in some cases (such as administrative program data), it is the only source which covers the full population needed to conduct a research project.
Read First
- Research teams usually rely on two broad categories of data - primary data, and secondary data.
- Impact evaluations rely on many different sources of secondary data, such as: administrative, geospatial, sensor, telecom, and crowd-sourcing.
- Research teams should decide on the kind of data they want to use, based on context and project-needs.
Guidelines
Administrative and Monitoring Data
Administrative data includes all data collected through existing government Ministries, programs and projects. It is a potentially rich source of data for an impact evaluation. Key challenges are: data is in paper format only (needs to be digitized), restricted access, lack of numeric identifier (or lack of common identifier with other key datasets).
JPAL provides a useful guide to using administrative data for impact evaluations.
National Survey Data
Existing survey data may be of use depending on the sampling frame for the impact evaluation, level of representativity of the existing data, and availability of disaggregated data. National Statistics Office typically collect a wide array of nationally-representative data, such as Living Standards Measurement Surveys and censuses. International survey efforts such as the Demographic and Health Surveys [1] and Enterprise Surveys [2] are also good sources.
Geo Spatial Data
This includes data from traditional satellites, micro- and nano-satellites, and unaccompanied aerial vehicles (UAVs, e.g. drones).
Remote Sensing
This includes all data collected by sensors, and through the Internet of Things (IoT).
Telecom Data
This includes call detail records, social media data, web scraping.
Crowd-sourced Data
This includes all data collected by crowd-sourcing, often through social media or mobile apps.
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This article is part of the topic Secondary Data Sources