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Data Governance

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Definition

Data governance is the framework of policies, procedures, and standards that ensures data is managed properly throughout its lifecycle. It covers data privacy, compliance, access control, and quality standards.

How It Relates to CrawlForge

Web scraping activities must comply with data governance requirements including privacy regulations (GDPR, CCPA), terms of service, and robots.txt directives. Organizations need clear policies about what data they collect, how they store it, and how long they retain it.

CrawlForge supports data governance by respecting robots.txt by default, providing clear audit trails through usage logs, and offering structured extraction that collects only the specific data fields you need -- minimizing the risk of inadvertently collecting sensitive information.

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Related Terms

Data Quality

Data quality measures how well a dataset meets the requirements of its intended use. Key dimensions include accuracy, completeness, consistency, timeliness, and validity of the data.

Robots.txt

Robots.txt is a standard text file placed at the root of a website that tells web crawlers which pages they are allowed or disallowed from accessing. It is part of the Robots Exclusion Protocol.

Data Pipeline

A data pipeline is an automated sequence of steps that collects, processes, transforms, and delivers data from sources to destinations. It enables continuous data flow between systems without manual intervention.

Web Data

Web data is any information that is publicly accessible on the internet. It includes website content, social media posts, public APIs, government records, and any other data available through web protocols.

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