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This document discusses the challenges and strategies in importing external data into a SAS database for social science research, including lessons learned in database design and file management.
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How to fill out Taming External Data

01
Identify the external data sources you are working with.
02
Gather all necessary credentials and access permissions for those data sources.
03
Choose the appropriate software or platform for integration with external data.
04
Create a structured plan detailing how the external data will be imported and utilized.
05
Map out the data fields to ensure proper alignment with your internal data structures.
06
Fill out the required forms or fields as mandated by your software for integrating external data.
07
Test the integration with sample data to ensure accuracy and functionality.
08
Monitor the data flow regularly to address any discrepancies.

Who needs Taming External Data?

01
Data analysts looking to enhance their datasets.
02
Businesses aiming to improve decision-making through external insights.
03
Researchers needing diverse data sources for their studies.
04
Organizations wanting to enrich customer profiles with external information.
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to make tame; domesticate. to break the spirit of, subdue, or curb. to tone down, soften, or mitigate.
System finds and links related data scattered across digital files, for easy querying and filtering. Larry Hardesty MIT News Office.
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Data coming from outside the company is called external data. Possible sources of external data include job portals, career websites, business-focused social networks, patents, university data, learning offerings, online courses, public statistics, and government sources.

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Taming External Data refers to the process of managing and integrating unstructured or disparate data from outside sources into a structured format for analysis and reporting.
Organizations that collect, analyze, or utilize external data in a way that impacts their operations, compliance, or decision-making processes are typically required to file Taming External Data.
To fill out Taming External Data, organizations should compile relevant external data sources, classify the data, adhere to specific formatting guidelines, and provide metadata that describes the data's origin and purpose.
The purpose of Taming External Data is to ensure that external information is properly documented, usable, and integrated into an organization’s data systems, thereby enhancing decision-making and compliance.
Information that must be reported includes data source details, data type descriptions, usage context, potential risks associated with the data, and any relevant compliance information.
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