iefieldkit is a package of Stata commands that standardizes and simplifies best practices for high-quality, reproducible, primary data collection. This package currently supports three major components of data workflow: survey design; survey completion; and data cleaning and survey harmonization. This page will explain the package and its commands.
iefieldkitaims to provide Stata-based tools for managing the primary data collection process from start to finish.
iefieldkitcurrently consists of four commands:
- All commands in the package can be used independently, and are developed for use in a wide range contexts.
- See the open-source code here for public contribution and comment.
One of the most important developments in economics research over the past two decades has been the rise of empirical data collection, especially with unique primary datasets collected by the researchers themselves. The authors of
iefieldkit have supported the implementation of a wide range of primary data collection in fields including agriculture, health, energy and environment, edutainment, financial and private sector development, fragility, conflict, violence, gender, governance, and transport. They have developed workflows to support general best practices for data collection. As a rule, they develop new packages only in order to fill an essential gap in Stata functionality.
iefieldkit aims to provide Stata-based tools for managing the primary data collection process from start to finish.
All commands utilize spreadsheet-based workflows so that their inputs and outputs are significantly more human-readable than Stata do files completing the same tasks would be. These tasks can be supported and reviewed by personnel who specialize in field work rather than code tools. The increasing diversity and specialization of research teams has made accessibility to non-Stata-proficient personnel an essential component of data management workflows, and this package takes this development seriously.
Before Data Collection
Before data collection occurs,
ietestform allows for rapid error-checking of ODK-based electronic surveys, including best practices for SurveyCTO-styled forms. This ensures that data, once collected, will import in Stata-friendly formats -- such as avoiding name conflicts and ensuring compliant variable naming and labelling.
During Data Collection
During data collection,
iecompdup (both previously released as a part of the package
ietoolkit but now moved to this package) provide a workflow for detecting and resolving duplicate entries in the dataset, ensuring that the final survey dataset will be a correct record of the survey sample to merge onto the master sampling database.
After Data Collection
After data collection, the
iecodebook commands provide a workflow for rapidly cleaning, harmonizing, and documenting datasets.
iecodebook uses input specified in an Excel sheet, which provides a much more well-structured and easy to follow overview – especially for non-technical users – than the same operations written directly to a dofile.