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SL Visit

Product Description: SL Visit

SL Visit is a secure, privacy-preserving software product that enables researchers and data users to analyze sensitive datasets without direct data access. By leveraging the data visiting principle, SL Visit ensures that data remains read-only and protected, while still allowing innovative algorithmic exploration.

Visit Data

Principle

SL Visit is built on the data visiting principle, where data remains strictly read-only and never leaves its original location. Users submit their algorithms to the data holder, who reviews and executes them on the local dataset. The algorithm then returns only aggregated results, ensuring that sensitive information is never exposed.

Use

SL Visit is designed for a variety of powerful applications, including:

  • Targeted Data Access: Use established algorithms to answer specific research questions on curated datasets, streamlining scientific discovery.
  • Identifying Patient Patterns: Find patients with specific side-effects and analyze connections to comorbidities across diverse datasets.
  • Algorithm Testing: Deploy and evaluate new algorithms on existing datasets, enabling rapid prototyping and validation.

Benefits

SL Visit is designed for ease of collaboration and robust data governance:

  • Algorithm Submission: Data users provide their algorithms for analysis.
  • Data Holder Review: All algorithms are reviewed and approved by the data holder before execution.
  • Results Only: Only aggregated, non-identifiable results are returned to the user.
  • Upfront Agreement: All parties agree in advance to the terms of algorithm provision and data use, ensuring transparency and compliance.

SL Visit empowers secure, flexible research by allowing users to 'visit' data with their algorithms—unlocking insights while keeping sensitive information protected at all times.