Platform Transparency Overview

Datastreamer's in-platform transparency and data integrity overview

Datastreamer Platform Transperancy

Datastreamer is a software platform designed to handle data securely and transparently using Dynamic Pipelines. Leveraging our Dynamic Pipeline Platform's robust infrastructure and transparency features, Datastreamer provides comprehensive transparency measures throughout its architecture.

📘

Resources Mentioned

The following Datastreamer resources are mentioned in the below information:

Technical Documentation: docs.datastreamer.io
Platform Catalog: datastreamer.io/platform-catalog
Status Page: status.datastreamer.io
Platform Portal: portal.datastreamer.io

Component Processing Transparency

Datastreamer maintains clear and accessible documentation for all data processing Components. This includes detailed descriptions of data sources, transformations, and pipeline configurations. Users can access this documentation through the Datastreamer Technical Documentation and Platform Catalogs, ensuring full visibility into how their data is processed.

User Communication

Datastreamer commits to regularly communicating any changes, updates, or issues related to the platform to users in a timely and clear manner. This includes notifications about updates, scheduled maintenance, and any incidents affecting data processing. These notifications are present on the "Release Notes" within Technical Documentation. Outages, service issues, and planned maintenance are communicated through our Status Page. Users are able to subscribe to individual components for customized communications around impactful Components.

Access to Processing Logs and Pipeline Monitoring

Datastreamer provides users with access to detailed views of their data processing activities and billing. These logs include information on data flows, transformations, and any errors or issues encountered during processing. Users can access these logs through the Datastreamer Portal.

Data Transparency, Ownership, and Bias

Datastreamer, as a data processing agent, provides users the ability to process their data within the Datastreamer platform. Users of Datastreamer's Platform retain full ownership of the data they utilize within the Datastreamer Platform as they are determinants of the data they process.

Algorithmic Transparency

Datastreamer ensures that all algorithms used in data processing are transparent and explainable. Users have access to documentation explaining the logic and functioning of these algorithms, ensuring they understand how their data is being processed. This documentation is available in Platform Catalog and/or Technical Documentation.

Feedback and Issue Reporting

Datastreamer implements a mechanism for users to provide feedback and report issues related to data handling and transparency. Users can submit feedback and report issues through their supporting team members, and these submissions are reviewed and addressed promptly.

Governance and Accountability

With regards to the 3rd party Components, Datastreamer has established a framework and agreement process with Datastreamer Partners regarding the management and use of data processing and sourcing technologies. These 3rd party technologies are available in the platform as Pipeline Components. This framework ensures that all stakeholders understand their responsibilities regarding data handling and transparency. Information on the the framework and specific Pipeline Components are available from your Datastreamer support team.