
Solving the Individual Human Data (IHD) Challenge: Enabling Responsible Data Reuse
in Life Sciences
Author: Mike Tatarnikov, CDO
Category: Innovation & Technology
Format: Whitepaper
Estimated read time: ~12 min
Basel, Switzerland – November 19, 2025
In Life Sciences, using Individual Human Data (IHD) is essential for research, but many teams still struggle to manage it. Consent rules vary, many organisations still rely on paper based forms, and researchers often need to check access rights manually. ownership of clinical assets changes hands, datasets can become fragmented or formatted inconsistently, which makes reuse harder than it should be.
Overcoming the Challenges of Reusing Individual Human Data
In our new whitepaper, Mike Tatarnikov, Chief Data Officer at MIGx, describes a clear way to address these issues. He outlines four elements that together support responsible reuse of clinical data: classifying datasets, providing a place to access them, explaining how decisions are made, and preparing or anonymising data when needed.
A Marketplace for Clinical Data
The paper then illustrates how a marketplace can bring these ideas together. Researchers can look for datasets using metadata, request access, and receive data in a form that matches the approved use.
From there, the marketplace grants access automatically when possible or routes it for review when needed, and it logs all activity to support compliance. When consent limits how data may be used, the marketplace provides only a suitable subset. It also limits access in time and revokes it once the approved work is complete.
What You’ll Discover
- Why using and reusing Individual Human Data (IHD) is difficult today, from consent rules to fragmented clinical datasets.
- The four elements of the proposed solution: a classifier, a data marketplace, an explainer, and a data curator/anonymiser.
- How a marketplace lets researchers search for datasets using metadata and request access under clear legal and ethical conditions.
- How time limited, logged access and curated data products can support compliance and help shorten study cycles from months to days.
By addressing these challenges directly, organisations can move from scattered, inconsistent clinical data toward a more controlled environment where research becomes easier and more efficient.
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