Data Republic’s Senate Platform revolutionises data sharing between organisations by providing comprehensive legal, governance and licensing workflows for companies when sharing data. Data Republic’s technology suite helps data owners to unlock the benefits of data sharing while protecting information security and data privacy.

This article covers key topics to get started on Senate.

  1. Setting up and participating in a data exchange project
  2. Tokenize PI for data matching 
  3. Control how your data is accessed and shared in Senate
  4. Improve internal and external data discoverability using Data Listings

***Note: Organizations using Senate must first execute required legal agreements to access Senate and conduct an exchange. See Data Republic's legal framework.***

Setting up and participating in a data exchange project

1. Define project goals and discuss requirements

  • A project is created to govern your data exchange in Senate. Organizations requesting access to data will usually set up the project and invite users from data owner organization(s) to discuss a data sharing opportunity and participate in an exchange. Within a project, users can access 'conversations', create and negotiate data licenses, or connect to a workspace to access data if invited. Learn more about: Working with data custodians and how to define your data requirements for a project.

2. Prepare data for exchange:

  • A package referencing any data for exchange (i..e files, database tables / views) must be created by the data owner(s) and added to the project to negotiate an exchange; a package contains references to where the meta data sits in Senate and does not contain the data itself. 
  • Note: Any data uploaded to Senate must be de-identified. For projects involving matched data at a row level, any personally identifiable information (PII) must be replaced by tokens to de-identify datasets for matching on Senate. See requirements to 'Tokenize PI for matching' below.

3. Data licensing and approval: 

  • A data license must be submitted and approved by the data governance manager from each organization before access to data can be provided. A data license contains agreed terms for permitted use of data, whether matching is allowed, pricing and data access terms. 

4. Access and download approved outputs

  • Depending on data sensitivity and the level of governance selected, data owners may require for analysis and/or token matching to take place in secure Discovery Workspaces (quarantined virtual machines) on Senate; whereby, any query run against the database is audited, and workspace access is controlled. 
  • Alternatively, a license may permit the data recipient to download raw data from Senate without the requirement of a workspace for analytics or any output checks.

Other useful information:

How to tokenize PI for matching

Data Republic’s Senate Matching technology provides an opportunity for organizations to match customer row data between data tables and unlock new insights about their customers without revealing or compromising PI. Organizations can install Contributor Node to tokenize PI and submit a data license request to complete a data match on Senate. Approval of the data license and match request is required by data governance managers from contributing organizations. Note: Tokenization is only required if you intend to request a data match in your project.

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Control access to your data and how it is used

Using Data Licenses: A data license is an agreement between an organization requesting access to data (i.e. data recipient / data licensee) and data owner organizations (i.e. data custodians or contributors). Terms such as permitted use of data, extraction rules, pricing and access must be agreed to, and approved by data governance managers from each organization, as well as Data Republic for the license to be effective.

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Improving data discoverability using Data Listings

Commercialize datasets by publishing your Data Listing to the 'Data Republic Open Catalog'. A Data Listing contains a description of the dataset as well as meta data to help analysts decide whether the dataset might be useful for their project. 

Improving internal data discoverability: If your organization has licensed the Senate Platform, use the 'Closed Catalog' feature to improve internal data discoverability and innovation by allowing Senate users within your own organization to discover new datasets. Users within your organization can request access to datasets to collaborate in a project and solve insight problems.

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