Data Trustworthiness | Web Scraping Tool | ScrapeStorm
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.
Related Article
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