What data management involves
Data management focuses on the quality, relevance, and organisation of the studies, information, and evidence that support regulatory submissions and ongoing dossier obligations. This includes evaluating available data, identifying gaps, reviewing study quality, and assessing whether information is fit for purpose.
Beyond scientific data, we also support companies with the practical and organisational aspects of data access and data-sharing. This can include reviewing fee structures, examining the fairness and transparency of data-sharing arrangements, assessing risks associated with disputes, and helping members understand their options under relevant REACH mechanisms.
We use structured methodologies to help members understand the value, reliability, and regulatory relevance of available data — and to clarify where additional work, better evidence, or alternative approaches may be needed.
The difference our data management support makes
Clear data organisation reduces uncertainty and helps consortia and individual companies make informed decisions about study needs, data-sharing costs, and dossier maintenance.
Our support ensures data is traceable, well-structured, and ready to integrate into regulatory submissions, making long-term dossier management more efficient.
Our experience
What is consortium management under REACH?
We have experience supporting consortia of different sizes and levels of complexity, including:
- Single-substance consortia with large numbers of joint registrants, where coordination, communication, and cost-sharing structure are critical.
- Multi-substance consortia with smaller membership — for example, eight members coordinating more than 45 substances across EU and UK regimes.
This breadth of experience allows us to adapt our approach to the unique demands of each group, whether highly technical, heavily administrative, or governance focused.
What working with us looks like
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Step 1
Understanding the purpose
We begin by understanding the purpose of the consortium or data-management project — its goals, substances, applicable regimes, and the level of coordination required. From there, we establish clear communication channels, document pathways, and structured workflows that make collaborative work easier and more transparent for everyone involved.
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Step 2
Establishing structure
As activities progress, we maintain momentum, keep members informed, and provide the organisational structure needed to keep joint tasks moving.
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Step 3
Ongoing support
Support is typically long-term, reflecting the ongoing nature of consortium governance, data coordination, and shared regulatory responsibilities.
Ready for clearer direction and confident decisions?
Let’s talk about the right support model for you, whether that is a defined project or ongoing advice.