Research companies
Licensing Historical Business Data for AI: A Guide for Research Companies
AI-assisted educational guide with automated source checks. FirmSignal is independent of Mode and may earn a referral fee if you complete a qualifying transaction through our link. Eligibility, valuation, terms and data handling are determined by the buyer.
Research companies can unlock a new revenue stream by licensing their historical business data for AI research and training. This data can include project management and documentation records, excluding restricted, participant, and third-party licensed material. To get started, it's essential to understand what makes operational context useful and how to prepare your company's data for licensing. In this article, we'll explore the opportunity, the importance of operational context, and provide a concrete first assessment to help you determine if your company's data is suitable for licensing. According to Mode [1], companies with several years of operating records and a minimum number of employees may be eligible for their data partnership program. However, eligibility and rights require individual review, and official terms can change. The Federal Trade Commission (FTC) [2] provides guidance on protecting personal information, which is critical when handling sensitive data.
Understanding the Opportunity
Research companies can benefit from licensing their historical business data for AI research and training. This data can be valuable for training AI models, and companies like Mode are willing to pay for it. According to Mode [1], companies with several years of operating records and a minimum number of employees may be eligible for their data partnership program. However, eligibility and rights require individual review, and official terms can change.
- Determine if your company meets the minimum employee requirement
- Assess the number of years of operating records you have
- Review your company's data to ensure it meets the required criteria
Preparing Your Company's Data
Before licensing your company's data, it's crucial to prepare it for export. This includes reviewing your data to ensure it meets the required criteria, removing sensitive information, and transforming personal identifiers. Mode [1] agrees on the systems and date ranges with the company before any export and removes sensitive material and transforms personal identifiers in the agreed copy before reselling it for AI research and training.
- Review your company's data to ensure it meets the required criteria
- Remove sensitive information
- Transform personal identifiers
Operational Context and Data Security
Operational context is essential when licensing historical business data for AI. This includes understanding how the data was collected, processed, and stored. The Federal Trade Commission (FTC) [2] provides guidance on protecting personal information, which is critical when handling sensitive data. A sound data security plan is built on five key principles: take stock, scale down, lock it, pitch it, and plan ahead.
- Take stock of the data in your files and on your computers
- Scale down and keep only what you need for your business
- Lock it and protect the information that you keep
- Pitch it and properly dispose of what you no longer need
- Plan ahead and create a plan to respond to security incidents
Hypothetical Worked Example
Let's consider a hypothetical example of a research company that wants to license its historical business data for AI. The company has the following inventory:
System: Project management software, Date coverage: 2018-2022, Internal owner: John Doe, Useful workflow context: Project planning and execution, Exclusions: Restricted and participant licensed material
System: Documentation software, Date coverage: 2020-2022, Internal owner: Jane Smith, Useful workflow context: Document management, Exclusions: Third-party licensed material
System: Email client, Date coverage: 2019-2022, Internal owner: Bob Johnson, Useful workflow context: Communication, Exclusions: Personal emails
System: CRM software, Date coverage: 2018-2022, Internal owner: Maria Rodriguez, Useful workflow context: Customer management, Exclusions: Sensitive customer information
- Identify the systems and date ranges for the data
- Determine the internal owner and useful workflow context for each system
- Exclude restricted, participant, and third-party licensed material
Questions to Ask a Buyer
When licensing your company's historical business data for AI, it's essential to ask the right questions to ensure you're working with a reputable buyer. Some questions to ask include: What is the purpose of the data licensing agreement? How will the data be used and protected? What are the terms and conditions of the agreement?
- Ask about the purpose of the data licensing agreement
- Inquire about how the data will be used and protected
- Review the terms and conditions of the agreement
Uncertainty and Next Steps
Licensing historical business data for AI can be a complex process, and there may be uncertainty about the suitability of your company's data. It's essential to consult with a qualified professional to review your company's data and determine the best course of action. Additionally, it's crucial to ensure that your company's data is properly secured and protected to prevent any potential risks or breaches. Possessing records is not proof of the right to license them, and it's recommended to have a qualified review of client confidentiality, privilege, personal information, contracts, and third-party rights where relevant.
- Consult with a qualified professional to review your company's data
- Ensure your company's data is properly secured and protected
Conclusion
In conclusion, licensing historical business data for AI can be a valuable opportunity for research companies. By understanding the opportunity, preparing your company's data, and ensuring operational context and data security, you can unlock a new revenue stream. Remember to ask the right questions when working with a buyer and to consult with a qualified professional to review your company's data and determine the best course of action. With the right approach, your company can benefit from licensing its historical business data for AI research and training. The FTC [2] provides guidance on protecting personal information, and it's essential to follow these guidelines to ensure the security and protection of your company's data.
- Review the FTC guidelines on protecting personal information
- Ensure your company's data is properly secured and protected
- Consult with a qualified professional to review your company's data
Frequently asked questions
What is a company data partnership?
A company data partnership is an agreement between a company and a buyer, such as Mode, to license the company's historical business data for AI research and training.
How does Mode protect sensitive information?
Mode removes sensitive material and transforms personal identifiers in the agreed copy before reselling it for AI research and training.
What are the key principles of a sound data security plan?
A sound data security plan is built on five key principles: take stock, scale down, lock it, pitch it, and plan ahead.
Sources and further reading
Program criteria can change. Confirm current eligibility and written terms with the buyer. Hypothetical examples illustrate preparation and are not actual transactions.