Who Owns The Data From The Internet Of Things?
With the IoT becoming critical to many industries and consumers, questions surrounding data ownership are coming with increasing frequency. The answers aren’t obvious.
Many organizations are beginning to convey their IoT data to third parties. Often this is motivated by a desire to monetize the data, sometimes for regulatory reporting reasons. These initiatives are bringing the issues of data ownership and licensing to the fore.
Interestingly, there is no set schema for determining how ownership is assigned, much less how IoT data can be licensed properly. Here’s an overview.
Data ownership in the Western world
In essence, the owner of machine-generated data (MGD), which covers virtually all of the IoT, is the entity who holds title to the device that recorded the data. In other words, the entity that owns the IoT device also owns the data produced by that device.
However, it’s not always clear that whomever has possession of the device and/or its output data actually “owns” it. When real-world constructs such as lease holdings come into play, it indeed gets complex and even murky.
Clinically speaking, data is owned by the titleholder. In this regard, data title is like a deed to real property. MGD may also contain metadata, which is akin to mineral and water rights.
Further, data may be owned by one party and controlled by another. Possession of data does not necessarily equate to title. Possession is control. Title is ownership. Referred to as usage rights, each time data sets are copied, recopied and transmitted, control of the data follows it. Conversely, transfer of ownership requires a legal mechanism to convey title.
I’m not a lawyer either, but let’s press on
It turns out that data by itself is not protectable under the American intellectual property regime; however, data title rights are similar to the rights afforded by a copyright.
Data title includes a bundle of usage rights that allow the titleholder to copy, distribute and create derivative works. Data within a database is like the words and images that compose a copyrighted book. The usage rights and title to the book are separable. The author of the novel retains title to the words and pictures that comprise the novel.
The author also owns the ability to authorize a publisher to publish books and distribute them. However, he or she does not control each reader’s usage rights of the content once they are accessed by readers.
Similarly, an entity that holds title to data or a database holds the associated data ownership rights. If the data set is copied and transmitted elsewhere, the author relinquishes the usage rights.
The parties to a data transfer contract matter
There are two major classes of parties in this space. The first category includes corporations, data brokers and marketplaces, which exchange data among themselves. This is not typically exposed to tight government regulation.
The second category is composed of consumers who submit data to a vendor in exchange for a product or service. Agreements in the consumer space may be subject to government oversight. The result is that certain industries such as healthcare must comply with a network of statutes and agency rules.
On the other end of the spectrum is the give-and-take approach. Under this approach, the vendor may collect in-deptj data from a sensor platform to optimize the user’s experience. Here, the contract allows all data to be exchanged in return for incentives such as a curated service or discount. This approach conveys all data usage rights and data title once the end user opts in.
How data rights are being handled in agriculture
The agriculture industry has embraced the use of sensors and machine-generated data to maximize production, and is also sophisticated in the way it handles data ownership interests.
The bottom line is that the farmer owns the data produced by his or her sensor platforms. Nevertheless, farm equipment manufacturers have developed a system of agreements with a high level of transparency to enable agricultural MGD to flow freely.
The complex world of vehicle-generated data
Automobiles, in particular EVs, are increasingly equipped with connected technologies and sensors that will create an unprecedented explosion in car-generated data. Stakeholders across several sectors from insurance to telecommunications, high tech and beyond, are poised to integrate these new data streams into their business models.
A unique feature of the automotive data market is the importance of consumer trust and sentiment. Consumers perceive all the data flowing from their car to be theirs. The effect is a strong expectation of receiving something in return.
In response to data-conscious users, automobile manufacturers craft their data exchange provisions that use a give-and-take approach. Similar to agribusiness data exchanges, there is an underlying presumption that the MGD captured after a purchase is owned by the entity who bought the car.
Regulators and industry groups agree that the car owner also owns the MGD. Like an insurance policy, the MGD ownership interests follow the car. This means that nonpersonal machine-generated data is treated differently from personal data, which follow the automobile’s occupants.
Energy and the IoT
Consumer smart-grid device deployment is rising. However, there is a cultural barrier to complete data exchange integration. This is because smart grid devices are connected to the home, and users may be hesitant to attach a device that may provide insight into their energy habits and, by way of inference, their lifestyles. It is no accident that firms have implemented data collection practices that take a tiered approach to obtaining a license to data usage rights and then title to end user MGD. As IoT adoption grows, schemas and policies governing data ownership rights and conveyance may become standardized.
No universal answer
As evidenced by the preceding, IoT data ownership is, and will likely continue to be, a complex issue. As a rule of thumb, whomever holds title to the data producing platform, likely owns the data. Different industries and companies take different approaches to regulating the transfer of data control and title. Add in international regulatory issues, both in-country and border-crossing, and it gets further complicated. The common denominator is well-crafted contractual language that both protects consumer interests and feeds a growing data ecosystem. More To Come.
David Knight is the Founder & CEO of Terbine, the first distributed exchange for data from the IoT. A serial entrepreneur, his background is in core technologies including multi-spectral sensing and communications, digital audio, messaging, enterprise software and distributed systems. An original executive of the Ansari XPRIZE that literally launched the private spaceflight industry, he continues to promote STEM education through innovative large-scale projects including his philanthropic work with the Space Shuttle Endeavour.