Universal Data Agreement (UDA)
Sharing data can help address some of society’s biggest challenges and can help individuals and organizations be more innovative, efficient, and productive. We want to make it easier for individuals and organizations that want to share data to do so. We’re working with companies, academics, and researchers to build better processes and tools. As a first step, we’ve taken a closer look at an open data use scenario with this Open Use of Data Agreement (O-UDA).
This agreement is between YOU, the registrant and DIFM-CIG grant.
This agreement shall survive in the event that DIFM-CIG evolves and or is consumed by another grant and or
The Open Use of Data Agreement (O-UDA)
The O-UDA is a simple agreement used to permit anyone to use data under the agreement for any purpose, with only minimal obligations. In short:
• Use of data under the agreement carries no obligations.
• Redistribution of the Output from use of the data under the agreement—
including results of analysis of the data or ML models trained with the
data—carries no obligations.
• Redistribution of data under the agreement—modified or unmodified—
carries two minor obligations. First, the redistributor must pass on all
attribution information. Second, the redistributor must pass on the warranty and liability disclaimers from the data provider.
• The redistribution obligations are designed to encourage sharing by limiting the liability of the data provider and ensuring that those downstream can identify where the data came from.
Computational Use of Data Agreement (C-UDA)
The C-UDA is a simple agreement that allows the data holder to make data available to anyone for computational use purposes, such as artificial intelligence, machine learning, and text and data mining. In short:
• It is intended for scenarios where the data distributor may desire, or is required, to restrict the use of data sets, including scenarios where the data set contains material not owned or controlled by the data distributor.
• It addresses data that is assembled from lawfully accessed, publicly available sources to be used for computational analysis.
• Redistribution of the Results from use of the data under the agreement— including results of analysis of the data or ML models trained with the data—carries no obligations.
• Redistribution of data under the agreement—modified or unmodified—requires use of the C-UDA.
• The redistribution obligations are designed to encourage sharing by limiting the liability of the data provider and ensuring that those downstream can identify where the data came from.
