Difference between revisions of "Data Management"
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== Guidelines == | == Guidelines == | ||
* organize information on the topic into subsections. for each subsection, include a brief description / overview, with links to articles that provide details | * organize information on the topic into subsections. for each subsection, include a brief description / overview, with links to articles that provide details | ||
==Orgnaization of Project folder== | ==Orgnaization of Project folder== | ||
==Master data sets== | ==Master data sets== |
Revision as of 16:13, 25 January 2017
Due to the long life span of a typical impact evaluation, where multiple generations of team members will contribute to the same data work, clear methods for organization of the data folder, the structure of the data sets in that data folder, and the identification of the observations in those data sets is critical
Read First
- never work with a data set where the observations does not have standardized IDs. If you get a data set without IDs, the first thing you need to do is to create IDs
- always create master data sets for all unit of observations relevant to the analysis
Guidelines
- organize information on the topic into subsections. for each subsection, include a brief description / overview, with links to articles that provide details
Orgnaization of Project folder
Master data sets
Naming conventions
Back to Parent
This article is part of the topic *topic name, as listed on main page*
Additional Resources
- list here other articles related to this topic, with a brief description and link