Buy Intellectual Property Data
The Ultimate Guide to Intellectual Property Data 2021
What is Intellectual Property Data?
Intellectual property (IP) data is a collection of data regarding information about creative works. This data is legal and publicly available. Unless submitted as patents to governmental bodies, creative works are subject to legal copyright protections and as such data can be collected on them.
How is Intellectual Property Data collected?
When intellectual property is uploaded online, data about is generated and collated. The data comes from the intellectual property itself, but can also be information about the property, such as ownership. Because legal records must be maintained, there’sa range of IP data available to the public. However, sifting through these reports for the intellectual property relevant to your specific demands a lot of time and resources. Intellectual property data providers offer IP datasets which are strucutred, standardized and custom-delivered to suit the user’s requirements.
What are the attributes of Intellectual Property Data?
Typically intellectual property data consists of two parts:
There is data about the intellectual property itself, such as its attributes or the sector it concerns. This could be an industry it belongs, or the ‘type’ of ‘property’ it is: a concept, piece of writing, logo, or business proposal.
Then there is data related to the intellectual property. This could be its trademarks, the media type it is, who owns it or where the intellectual property is registered to amongst other things.
What is Intellectual Property Data used for?
Primarily, intellectual property data is aggregated into databases for reference purposes. Intellectual propert plays an important role in the creation, spread and use of new knowledge for further innovation and inventions.
Advances in artificial intelligence (AI) have called for a revolution in intellectual property law. AI technology has started to create its own ‘inventions’ - AI machines can draw, write and compose music. Intellectual property data can be used both to further develop AI’s creative capacities as well as to inspire people to keep creating their own new intellectual property.
How can a user assess the quality of Intellectual Property Data?
Update frequency is less important for intellectual property data than other datasets because it is a less constantly-evolving field. Instead, check the data provider’s reputation and reviews before buying and make sure to request a data sample before you purchase any data to make sure that it is relevant to your field.
Who are the best Intellectual Property Data providers?
Finding the right Intellectual Property Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Intellectual Property Data providers that you might want to buy Intellectual Property Data from are Towergate Informatics, IPqwery, PatSnap, ktMINE, and Lighthouse IP.
Where can I buy Intellectual Property Data?
Data providers and vendors listed on Datarade sell Intellectual Property Data products and samples. Popular Intellectual Property Data products and datasets available on our platform are Royalty Rates for Intangible Assets and Minerals by RoyaltyStat and Royalty Rates for Intangible Assets & Minerals by RoyaltyStat.
How can I get Intellectual Property Data?
You can get Intellectual Property Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Intellectual Property Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Intellectual Property Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Intellectual Property Data?
Intellectual Property Data is similar to Litigation Data, Court Data, Bankruptcy Data, Patent Data, and Trademark Data. These data categories are commonly used for Legal Analytics and Intellectual Property Data analytics.