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Data Trustworthiness | Web Scraping Tool | ScrapeStorm

2024-08-27 19:42:42
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Abstract:Data trustworthiness refers to the degree to which data is considered to be true, accurate, reliable, complete and secure in a specific context. ScrapeStormFree Download

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Introduction

Data trustworthiness refers to the degree to which data is considered to be true, accurate, reliable, complete and secure in a specific context. It involves multiple aspects such as data quality, accuracy, integrity, reliability, security and privacy protection, and is the basis for data analysis and decision-making. In the digital age, with the widespread application of big data technology, the issue of data trustworthiness has become increasingly prominent. In-depth research and evaluation of data trustworthiness is of great significance to ensure the scientificity, rationality and effectiveness of decision-making.

Applicable Scene

Data trustworthiness applies to any scenario where decisions or analysis need to be made based on data, ensuring the authenticity, accuracy, completeness and security of the data.

Pros: Data trustworthiness ensures that decisions are based on reliable and accurate data, improving decision quality and business insights.

Cons: Verifying and maintaining data trustworthiness may require additional time and resources, increasing data processing costs.

Legend

1. Data trustworthiness.

2. Data trustworthiness overview.

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Reference Link

https://files.eric.ed.gov/fulltext/EJ1320570.pdf

https://www.sciencedirect.com/topics/computer-science/trustworthiness-data

https://www.thefarnsworthgroup.com/blog/trustworthiness-qualitative-research

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