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Lifebit’s Approach to Data Governance & Security

Lifebit’s Approach to Data Governance & Security

Lifebit’s Platform offers researchers and clinicians a data-driven view into the determinants of health and disease. This facilitates clinical impacts, accelerates drug discovery, and ultimately improves patient outcomes.

Challenge: incorporating open-source software into platforms while maintaining security, support, and longevity

Researchers are increasingly turning to open-source software to access the latest, best-in-class tools for data analysis and sharing. The benefits of open source software are clear, so when organisations begin to build data analytics platforms/trusted research environments, they increasingly turn to open-source solutions. There are three approaches an organisation can take to adopting open-source software – closed platforms, DIY solutions, and open platform. However, for organisations looking to adopt open-source software as part of their platforms, there can be a variety of risks associated with this.

Closed platform or DIY platform approaches to open-source software come with high risk in terms of:

  • Lack of security and compliance
  • Lack of ongoing maintenance of software and support
  • High costs and poor user experience/interface (UX/UI)

Solution: open platform

Open platform systems have multiple benefits to end users, whilst ensuring security is not compromised. They:

  • enable users to add features and functionality they would otherwise not be able to in closed systems,
  • help combat vendor lock-ins and data silos, which are often significant issues when using either a closed platform or DIY solution
  • extend support for a variety of open-source integrations and applications, which ensure minimal security risks when it comes to adopting innovative and community-driven applications.

In this white paper we’ll explore the benefits and drawbacks of each approach and how Lifebit uses open-source software in our Platform while ensuring security, support and longevity. For access to the full white paper, fill out the form with your information.

 

Lifebit's Approach to data standardisation

Lifebit’s Approach to Data Standardisation

Lifebit’s Platform offers researchers and clinicians a data-driven view into the determinants of health and disease. This facilitates clinical impacts, accelerates drug discovery, and ultimately improves patient outcomes.

The Challenge: Lack of standardisation across global health data resources

Health data comes from a wide range of sources, including biobanks, clinical trials and electronic health records. With this diversity comes wide variability in how data is described and stored, which creates challenges for researchers preparing data for analyses.

Key challenges:

  • Inefficient and repetitive tasks
  • Coding and data expertise needed
  • Limited analysis potential


The Solution: Adopting a Common Data Model 

Common Data Models are being increasingly adopted across the healthcare industry to address the lack of data standardisation. Having datasets standardised to a consistent and accessible format means they can be easily merged and analysed for research.

 


Lifebit’s Data Transformation Suite

Fully integrated within Lifebit’s Platform, the Data Transformation Suite is a flexible set of pipelines that transform raw data to analysis-ready data using the OMOP Common Data Model.

 

Benefits:

  • Simplify data management: Achieve one unified model for all data types
  • Reduce time to insights: Less spent cleaning and pre-processing the data, more time spent gaining data insights
  • Enhance collaboration: Distributed datasets can be combined and analysed in the same manner
  • No data loss: All data transformed to OMOP
  • Flexible: Both client- and data-agnostic, the pipelines can be extended to suit your organisational needs
  • FAIRification of Data: Make your data Findable, Accessible, Interoperable and Reusable
  • Improve reproducibility: Enable reproducible research at scale

 

Find out how top 20 pharmaceutical companies are using Lifebit’s Data Transformation Suite to capture the transformational value of biobank data and prepare their data for research at scale.