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This document defines data fields used in e-Data v2 to assist in entering, summarizing, and analyzing program data for reporting purposes and program planning.
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How to fill out Data Collection Glossary

01
Start with a clear understanding of the data you will be collecting.
02
Define each term used in your data collection process to ensure consistency.
03
Organize terms alphabetically for easy reference.
04
Include examples for each term to clarify their usage.
05
Consult stakeholders to ensure all relevant terms are included.
06
Review and update the glossary regularly as new terms or data types are introduced.

Who needs Data Collection Glossary?

01
Data analysts who interpret the collected data.
02
Project managers overseeing data collection processes.
03
Researchers who need a clear understanding of terms used.
04
Stakeholders involved in data-driven decision making.
05
Anyone involved in data collection, to ensure consistency and clarity.
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Data Collection Glossary is a comprehensive list of terms and definitions relevant to data collection processes, ensuring consistent understanding and usage of terminology within data management.
Organizations or individuals involved in data collection and management, including researchers, data analysts, and institutions that handle data, are typically required to file a Data Collection Glossary.
To fill out a Data Collection Glossary, one should accurately define each term, provide context for its use, and ensure clarity and consistency across entries, usually adhering to a specified format provided by the governing body.
The purpose of the Data Collection Glossary is to standardize terminology, facilitate clearer communication among stakeholders, and enhance the accuracy and reliability of data collection processes.
The Data Collection Glossary must report definitions of key terms, categories of data collected, methodologies used in data collection, and any relevant standards or protocols followed.
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