The Oklahoma Seismic Data License Agreement — Form B is a legal document that governs the licensing of seismic data in the state of Oklahoma. This agreement establishes the terms and conditions under which seismic data can be accessed, used, and shared by companies and organizations involved in oil and gas exploration and production activities. The Form B of the Oklahoma Seismic Data License Agreement specifically pertains to the licensing of seismic data for the purpose of conducting detailed analysis and research. It is designed for parties who require more comprehensive access to the data for advanced studies, scientific research, and development of innovative technologies. Key provisions within the Oklahoma Seismic Data License Agreement — Form B include: 1. Definitions: This section clarifies specific terms used throughout the agreement, ensuring mutual understanding between all parties involved. 2. Grant of License: This clause outlines the extent of the license granted to the licensee, specifying the duration, geographic scope, and permissible uses of the seismic data. 3. Data Delivery and Quality: This section defines the obligations of the data provider concerning the delivery of the seismic data in a timely manner and ensures its accuracy and completeness. 4. Ownership and Intellectual Property: This clause clearly identifies the ownership rights of the seismic data, specifying that all intellectual property rights remain with the data provider. 5. Permitted Uses: This section enumerates the authorized uses of the seismic data, including interpretation, analysis, modeling, and geophysical research, among others. 6. Confidentiality: This provision emphasizes the confidential nature of the seismic data and imposes obligations on the licensee to maintain its confidentiality and ensure restricted access. 7. Indemnification: This clause specifies that the licensee assumes liability for any damages or claims arising out of their use of the seismic data. There may be different variations or revisions of the Oklahoma Seismic Data License Agreement — Form B based on specific circumstances, such as the duration of the license, regional variations, or additional provisions requested by the parties involved. It is essential for the parties to carefully review and negotiate all relevant terms and conditions to tailor the agreement to their particular needs.
Oklahoma Seismic Data License Agreement - Form B
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How to fill out Seismic Data License Agreement - Form B?
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These are some common types of licensing agreements: Trademark license - outlines how you may use a trademark Patent license - outlines your right to sell, use, make distribute and export a product that is patented Copyright license - outlines your right to reproduce and sell copyrighted assets.
Key Takeaways. A licensing agreement allows one party (the licensee) to use and/or earn revenue from the property of the owner (the licensor). Licensing agreements generate revenues, called royalties, earned by a company for allowing its copyrighted or patented material to be used by another company.
A data licence is a legal arrangement between the creator of the data and the end-user, or the place the data will be deposited, specifying what users can do with the data.
Data license agreements (DLA), or data use agreements (DUA) are documents that describe what kind of data is being shared with recipients. A DLA clearly states the purpose and duration of access being provided to the recipient, along with restrictions and security protocols that the recipient of the data must follow.
A data license agreement, or DLA, is a contract between an individual or company and another party when someone wants to gain access and use some type of data. The agreement can include clauses about how to share data with others not involved in the licensing agreement.
Eligible for data licensing However it can still earn some money from the contributor fund, if it is used in a data set for machine learning. This status basically means your photo was rejected for the normal collection, but was found to be useful for training AI software.