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In Development

Optimizing Data Collection

The Optimizing Data Collection initiative builds on the evolution of ICH guidance and seeks to activate sponsors to highlight areas to consider in protocol design to optimize procedures and their frequencies. The initiative is building a framework of solutions with an aim to reduce unnecessary burden on patients, sites, regulators, and other stakeholders by helping sponsors critically assess what data is collected and why, while balancing scientific, operational, and regulatory demands.

Optimizing Data Collection

Overview

Research conducted by the Tufts Center for the Study of Drug Development (CSDD) highlights the escalating burden imposed by protocol design on patients and sites. Yet, the complexity of protocols has surged across the industry, with a 40% increase in total procedures and a 283% increase in data points collected during Phase III pivotal trials over the past decade.¹

Solutions and Resources

Explore a suite of solutions designed to help sponsors and other interested stakeholders optimize clinical trial data collection from early development through study closeout. Our expanding set of resources supports teams in evaluating data needs, reducing unnecessary complexity, and aligning collection practices with both scientific objectives and patient/site burden.

Analysis

Regulatory Landscape Assessment

Our analysis of key ICH guidelines – such as E6(R3), E8(R1), E19, and M11 – shows how they apply to the Optimizing Data Collection initiative and why they matter.
0.35 MB
Publication

Insights Informing Strategies for Optimizing the Collection of Clinical Trial Data

This peer-reviewed publication, available in Therapeutic Innovation & Regulatory Science (DIA TIRS), outlines strategic approaches to improving data collection in clinical trials.
Framework

Clinical Development Plan (CDP) Framework & Considerations for Data Optimization

A structured framework that can be used to align study objectives and endpoints to the CDP, which is integral to the Target Product Profile (TPP), helping teams define the evidence needed for a given indication and avoid unnecessary complexity across protocols.​
1.03 MB
Guide

Protocol Considerations for Data Optimization​

A structured, question‑based resource that helps guide teams through endpoint‑guided decision‑making to map procedures, frequencies, and data needs, enabling more fit-for-purpose protocol design and data collection.
1.12 MB

Media and Webinars

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