Data Privacy Pipeline Configuration for Collaborative Dataset Sharing
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Solution Overview
Problem
Existing data sharing techniques face challenges in facilitating collaborative intelligence while ensuring data privacy and controlling access, particularly in industries like healthcare and banking, due to concerns over data confidentiality, regulatory restrictions, and the potential loss of competitive advantage.
Innovation Solution
A graphical user interface is used to construct and configure a data privacy pipeline in a data trustee environment, allowing multiple parties to specify parameters for data sharing and access, using placeholder elements and parameterized access control to ensure privacy, enabling multi-party contributions to any portion of the pipeline.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is shared to improve collaborative intelligence, then the completeness and value of datasets improve, but data privacy and security concerns worsen
Solution Approach 1:
A data trustee environment is introduced as an intermediary between data owners and data consumers. The trustee holds and manages the collaborative dataset, allowing multiple parties to contribute data and query the dataset without direct access to raw data from other parties. This mediator structure enables collaborative intelligence while preserving data privacy through controlled access mechanisms.
Solution Approach 2:
The system separates data contribution, data storage, and data querying functions into distinct components. Data owners can contribute data without seeing other parties' data, while data consumers can query the collaborative dataset without accessing underlying raw data. This segmentation allows collaborative intelligence to be derived while maintaining privacy boundaries between participants.
2Reliability
If data access control is implemented to protect privacy, then data security improves, but ease of data sharing and collaboration worsens
Solution Approach 1:
The data trustee environment provides self-service capabilities where data owners can independently configure their data contribution parameters, access control policies, and query permissions through graphical user interfaces. This automation reduces the complexity of implementing secure data sharing, as the system automatically manages authentication, authorization, and data protection without requiring manual intervention for each access request.
Solution Approach 2:
The trustee environment serves multiple functions simultaneously: it acts as a data repository, an access control manager, a query processor, and a collaboration platform. This multi-functionality consolidates what would otherwise require multiple separate systems into a single unified platform, making secure collaborative data sharing more accessible and easier to implement across different organizations and use cases.
3Ease of operation
If placeholder elements are used to facilitate multi-party pipeline development, then ease of collaboration improves, but system complexity increases
Solution Approach 1:
The system allows participants to define placeholder elements in advance that represent future data sources, processing steps, or output destinations. These placeholders enable the pipeline structure to be configured and validated before actual data and computations are finalized. This preliminary configuration reduces collaboration friction by allowing parties to work on different aspects of the pipeline independently and integrate them later through the trustee environment's orchestration capabilities.
Data Source
AI summary
Embodiments of the present disclosure are directed to techniques for constructing and configuring a data privacy pipeline to generate collaborative data in a data trustee environment. An interface of the trustee environment can serve as a sandbox for parties to generate, contribute to, or otherwise configure a data privacy pipeline by selecting, composing, and arranging any number of input datasets, computational steps, and contract outputs. (e.g., output datasets, permissible named queries on collaborative data). The interface may allow a contributing party to use one or more unspecified “placeholder” elements, such as placeholder datasets or placeholder computations, as building blocks in a pipeline under development. Parameterized access control may authorize designated participants to access, view, and/or contribute to designated portions of a contact or pipeline. Authorized participants may indicate their approval, and the pipeline may be deployed in the data trustee environment pursuant to the agreed upon parameters.