Difference between revisions of "Exporting Analysis"

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== Read First ==
== Read First ==
* include here key points you want to make sure all readers understand
* Outputted research should always be reproducible. See categories below for different levels of replicability
* DIME does not have rules for which formatting rules you follow as long as the formatting is consistent in a project


== Formatting ==
Formatting requirements depends a lot on who is the audience. For example, the best practice differs a lot if we are communicating results to the beneficiaries of the project or to the research community.


== Guidelines ==
Fact sheets to government counterparts and to members of the communities that we are working with can be a very efficient method to disseminate our impact evaluation results. Here is a great example of a fact sheet used for a DIME project. Regression tables formatted according to journal standards would obviously not work well in this context.
* organize information on the topic into subsections. for each subsection, include a brief description / overview, with links to articles that provide details
 
===Subsection 1===
For academic context then DIME has no formatting requirements other than to follow established guidelines as much as possible. Here are examples of such guidelines:
===Subsection 2===
 
===Subsection 3===
* American Economic Review: [https://www.aeaweb.org/journals/aer/submissions/accepted-articles/styleguide]
* ShareLaTeX's collection of style guides [https://www.sharelatex.com/templates/journals]
 
== Replicability ==
We all know that all our work should be replicable, especially the outputs, this section will walk you through different levels of replicability and tools for each of those levels.
 
DIME projects should at least have good replicability except in very special circumstances, but even then it should at least fulfill the requirements for Basic Replicability.
 
* [[No replicability]]
* [[Basic replicability]]
* [[Good replicability]]
* [[Full replicability]]
 
See more detailed definition of replicability by clicking the links above. The links above also list tools to achieve the different levels of replicability.
 
== Version control ==
 
* GitHub
* Dated copy - but use main copy


== Back to Parent ==
== Back to Parent ==
This article is part of the topic [[*topic name, as listed on main page*]]
This article is part of the topic [[Data Analysis]]
 


== Additional Resources ==
## Additional Resources
* list here other articles related to this topic, with a brief description and link
* list here other articles related to this topic, with a brief description and link


[[Category: *category name* ]]
[[Category: Data Analysis ]]

Revision as of 12:21, 9 November 2017

NOTE: this article is only a template. Please add content!


add introductory 1-2 sentences here


Read First

  • Outputted research should always be reproducible. See categories below for different levels of replicability
  • DIME does not have rules for which formatting rules you follow as long as the formatting is consistent in a project

Formatting

Formatting requirements depends a lot on who is the audience. For example, the best practice differs a lot if we are communicating results to the beneficiaries of the project or to the research community.

Fact sheets to government counterparts and to members of the communities that we are working with can be a very efficient method to disseminate our impact evaluation results. Here is a great example of a fact sheet used for a DIME project. Regression tables formatted according to journal standards would obviously not work well in this context.

For academic context then DIME has no formatting requirements other than to follow established guidelines as much as possible. Here are examples of such guidelines:

  • American Economic Review: [1]
  • ShareLaTeX's collection of style guides [2]

Replicability

We all know that all our work should be replicable, especially the outputs, this section will walk you through different levels of replicability and tools for each of those levels.

DIME projects should at least have good replicability except in very special circumstances, but even then it should at least fulfill the requirements for Basic Replicability.

See more detailed definition of replicability by clicking the links above. The links above also list tools to achieve the different levels of replicability.

Version control

  • GitHub
  • Dated copy - but use main copy

Back to Parent

This article is part of the topic Data Analysis

    1. Additional Resources
  • list here other articles related to this topic, with a brief description and link