Optum, Inc.

Lisa A Hodne

Daniel L Binkley

Majdoddin Izadian

Matthew Jon Hartzler

Methods, systems, and apparatuses embodied herein control and track access to secured data independent of the asset storing the secured data. In this regard, some embodiments organize volumes including one or more datasets and attach one or more assets to each volume. Some embodiments further receive data permissions of use information, for example from a data steward device, for the volume and datasets, which are registered with the volume and the datasets. Some embodiments further receive a set of restrictions, retrieve the dataset permissions of use information for one or more dataset identifiers, and determine the restrictions do not conflict with the dataset permissions of use information. Some embodiments further generate, and subsequently store, an indication the set of restrictions is valid when the dataset permissions of use information does not conflict. Permissions of use information may be organized into persona data objects assigned to various user profiles.

Methods, apparatuses, and systems for data rights tracking

Embodiments provide for predicted data use obligation matching using data differentiators. Example embodiments retrieve a cross-link relationship graph structure from a data repository, where the cross-link relationship graph structure includes a plurality of cross-link relationship graph nodes connected by a plurality of cross-link relationship graph edges. Each cross-link relationship graph node is associated with a unique logical data record set identifier of a plurality of logical data record set identifiers associated with a dataset identifier. For each unique logical data record set identifier, the cross-link relationship graph structure is traversed. Based at least in part on a separation measure associated with each cross-link relationship of one or more cross-link relationships associated with the unique logical data record set identifier, one or more data use obligation scores for the unique logical data record set identifier is generated.

Predicted data use obligation match using data differentiators

Embodiments provide for predicted data use obligation matching using data differentiators. Embodiments retrieve one or more logical data record set identifiers associated with an intended use request. For each unique logical data record set identifier of the one or more logical data record set identifiers, a cross-link relationship graph structure comprising a plurality of cross-link relationship graph nodes and a plurality of cross-link relationship graph edges is traversed. Based at least in part on a separation measure associated with each cross-link relationship of one or more cross-link relationships associated with the unique logical data record set identifier, one or more data use obligation scores are generated for the unique logical data record set identifier. An aggregated data use obligation score is generated based at least in part on aggregating the one or more data use obligation scores for each of the unique logical data record set identifiers of the one or more logical data record set identifiers associated with the intended use request. Upon determining that the aggregated data use obligation score is below a risk threshold, the intended use request may be granted.

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Buffalo, MN, United States of America

Lisa A Hodne