Case Studies Unlocking Pivotal R&D Answers While Ensuring Data Integrity

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	Unlocking Pivotal R&D Answers While Ensuring Data Integrity

Unlocking Pivotal R&D Answers While Ensuring Data Integrity

Technology Category	Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries	Life Sciences
Applicable Functions	Product Research & Development
Services	Data Science Services
Challenge	Obsidian Therapeutics was facing several challenges with their previous Electronic Lab Notebook (ELN). The system was clunky and didn't allow for linkages to registered samples, which hindered adoption and experimental detail. Without a formal registration system, Obsidian scientists couldn't draw connections between results data and upstream entities. Their legacy sample tracking system was unintuitive and saw low scientist usage, leading to data loss and compliance concerns. Read More
About Customer	Obsidian Therapeutics is a biotechnology company that is developing a suite of technologies that allow for control of protein activity within cells to power therapeutics. The company is focused on creating transformative treatments for cancer and other serious diseases. Their work involves extensive research and development, and they rely heavily on data management and tracking systems to ensure the integrity and reliability of their experimental records. Read More
Solution	Obsidian Therapeutics implemented Benchling’s Bioregistry, a unified informatics solution that integrated sample tracking and note-taking. This system generated strong user adoption and improved the quality and reliability of experimental records. With a centralized registration system, Obsidian can now trace from downstream results to identify effective upstream entities. This allows them to answer questions like, 'Why does this lentivirus work well? Is it related to a specific batch of constructs?' The robust Bioregistry also ensures that the constructs, parts, and other entities they’re tracking will hold up in a court of law. Read More Log in to view content
Contents

Technology Category

Platform as a Service (PaaS) - Data Management Platforms

Applicable Industries

Life Sciences

Applicable Functions

Product Research & Development

Services

Data Science Services

Challenge

Obsidian Therapeutics was facing several challenges with their previous Electronic Lab Notebook (ELN). The system was clunky and didn't allow for linkages to registered samples, which hindered adoption and experimental detail. Without a formal registration system, Obsidian scientists couldn't draw connections between results data and upstream entities. Their legacy sample tracking system was unintuitive and saw low scientist usage, leading to data loss and compliance concerns.

About Customer

Obsidian Therapeutics is a biotechnology company that is developing a suite of technologies that allow for control of protein activity within cells to power therapeutics. The company is focused on creating transformative treatments for cancer and other serious diseases. Their work involves extensive research and development, and they rely heavily on data management and tracking systems to ensure the integrity and reliability of their experimental records.

Solution

Obsidian Therapeutics implemented Benchling’s Bioregistry, a unified informatics solution that integrated sample tracking and note-taking. This system generated strong user adoption and improved the quality and reliability of experimental records. With a centralized registration system, Obsidian can now trace from downstream results to identify effective upstream entities. This allows them to answer questions like, 'Why does this lentivirus work well? Is it related to a specific batch of constructs?' The robust Bioregistry also ensures that the constructs, parts, and other entities they’re tracking will hold up in a court of law.

Impact #1	Improved user adoption of the data management system
Impact #2	Enhanced quality and reliability of experimental records
Impact #3	Ability to trace from downstream results to identify effective upstream entities

Impact #1

Improved user adoption of the data management system

Impact #2

Enhanced quality and reliability of experimental records

Impact #3

Ability to trace from downstream results to identify effective upstream entities

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Overview

Unlocking Pivotal R&D Answers While Ensuring Data Integrity

Operational Impact