Data Scraping Encyclopedia>Data Scraping Noun> Data Licensing

Data Licensing | Web Scraping Tool | ScrapeStorm

2024-08-22 19:36:09

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Abstract：Dataset licensing refers to contracts and rules that specify the conditions and rights for the use, distribution, and reuse of data. ScrapeStormFree Download

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Introduction

Data licensing refers to contracts and rules that specify the conditions and rights for the use, distribution, and reuse of data. It is used as a means to restrict or allow the use of data when a company or organization provides it to a third party. Data licenses help prevent the misuse and unauthorized use of data by establishing clear rules about data ownership and usage rights.

Applicable Scene

When companies use other companies’ data to develop new products or services, they must obtain a license that allows them to use the data commercially. When universities and research institutions use external data for research, they need a license that allows non-commercial use. When you publish a dataset on a data sharing platform (e.g., GitHub, Kaggle), you are granted permission to set guidelines for data usage for users.

Pros: By clearly defining how data is used, data abuse and unauthorized use can be prevented. Licensing agreements legally protect the rights and intellectual property of data providers. By clarifying the conditions for data use, users can more easily understand the scope of data use, helping to prevent problems. Clear conditions for the commercial use of data will promote data trade and create market expansion opportunities.

Cons: Complex data licensing agreements can be difficult to understand and comply with, and can be burdensome for users. Strict licensing conditions can limit the free use of data and make it difficult to generate new ideas and innovations. Negotiating data use terms can be time-consuming and costly. If data obtained from different licensors is subject to different licensing terms, you may need to adjust these terms.