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Data Technology

2nd DATA GOVERNANCE and R&D DIGITAL DATA TRANSFORMATION
EVENT

Date: 3rd and 4th of June 2025

Location: Berlin, Germany

About the event

This two-day event will bring together industry leaders, data professionals, and R&D experts to explore and discuss the latest advancements in data governance, digital transformation, and data-driven innovation within the pharmaceutical and life sciences sectors. Attendees will gain valuable insights into best practices, regulatory compliance, and digital data management tailored to the evolving needs of pharmaceutical R&D.

Join industry leaders and dive into the latest strategies for data governance and learn about cutting-edge approaches to digital data transformation that are driving R&D innovation, accelerating drug development, and ensuring regulatory compliance. Network with peers, attend expert-led sessions, and discover solutions to unlock the full potential of your data.
 

Join Us

Register today and be part of this transformative event. Learn, network, and collaborate with industry peers to navigate the future of chemical manufacturing


Register Today!

We look forward to welcoming you to the 2nd Data Governance and R&D Digital Data Transformation for the pharmaceutical and life sciences sectors event.

Science Lab
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SPEAKERS

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KEY TOPICS:

  1. Data Governance Strategies in Pharma & Life Sciences

    • Best practices for managing data quality, accessibility, and security.

    • Policies for compliance with global regulations, including GDPR and FDA guidelines.

  2. Digital Transformation in R&D

    • Innovations in data management and analytics to streamline R&D processes.

    • Leveraging AI and machine learning for predictive modeling in drug discovery.

  3. Data Interoperability and Integration

    • Solutions for unifying data across platforms and departments.

    • Standardizing data for collaboration across research, clinical, and regulatory functions.

  4. Ethics, Privacy, and Security in Digital Health Data

    • Ensuring data privacy and security throughout the digital transformation journey.

    • Ethical considerations in managing sensitive health data.

  5. Data-Driven Decision Making in Drug Development

    • Translating data insights into actionable strategies for R&D.

    • Real-world case studies highlighting the impact of data-driven decisions.

  6. Real-Time Data Analytics and AI for Clinical Trials

    • Improving clinical trial design and patient recruitment with real-time analytics.

    • AI applications for monitoring trial data and optimizing outcomes.

  7. Data Governance and Compliance

    • Implementing effective data governance frameworks

    • Ensuring compliance with industry regulations (e.g., GDPR, FDA, EMA)

    • Managing data privacy and security challenges in R&D

  8. Data Integrity and Quality Management

    • Best practices for ensuring data accuracy and reliability

    • Establishing data quality standards in research

    • Addressing data integrity challenges in clinical trials

  9. Advanced Analytics and Data-Driven Decision Making

    • Utilizing big data analytics for R&D optimization

    • Real-time data analysis in drug development

    • Predictive modeling for clinical and preclinical research

  10. Future of Data Governance in Pharmaceuticals

    • Emerging trends in data governance for life sciences

    • Preparing for future regulatory changes

    • The role of blockchain and secure data-sharing technologies

Scientist on Computer

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