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Data sharing | Web Scraping Tool | ScrapeStorm

2023-11-24 14:01:49
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Abstract:Data sharing refers to the process of sharing data between different organizations, systems, or applications. ScrapeStormFree Download

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Introduction

Data sharing refers to the process of sharing data between different organizations, systems, or applications. It is an important data management practice that improves data accessibility, usability, and reusability and fosters better decision-making and collaboration. Data sharing can play a role at different levels and areas, including within companies, between companies, government and public institutions, academia and society.

Applicable Scene

Data sharing is suitable for a variety of scenarios, including intra-company collaboration, cross-organizational supply chain optimization, medical and health data sharing, government policy development, and social science research. This approach improves data availability, improves decision-making efficiency, fosters innovation, and enhances collaboration.

Pros: Data sharing improves data availability, improves decision-making efficiency, fosters innovation, and enhances collaboration.

Cons: Data sharing comes with challenges such as data privacy, security, and regulatory compliance that must be handled carefully. Therefore, data owners’ needs, privacy regulations, and data sharing policies must be considered when it comes to data sharing.

Legend

1. Data sharing.

2. Data sharing.

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Reference Link

https://aws.amazon.com/what-is/data-sharing/

https://en.wikipedia.org/wiki/Data_sharing

https://www.databricks.com/glossary/data-sharing

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