Trusted Data Lineage. Actionable Insights.

At TraceLine Solutions, we help biotech and life sciences organizations fix the data layer behind their research. We turn fragmented, inconsistent data into structured, machine-readable assets that can actually be trusted and used for analytics, automation, and AI.

Our practice combines semantic data architecture, end-to-end lineage, and standards-driven automation to make data (re)usable at scale.

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Our Mission and Expertise

Biotech and life sciences organizations generate vast amounts of research data but it often remains fragmented, siloed, and hard to reuse.

Through our consultancy, we help organizations reuse data with confidence, structuring and harmonizing datasets with semantic modeling, provenance lineage, and standards-driven automation.

We apply the same first principles to our data platform, Genome2Protocol, leveraging semantic provenance to harvest insights from federated genomic datasets.

We deliver value through:

Applying semantic data architecture and FAIR principles to ensure datasets are interoperable and trustworthy
Integrating multi-study and distributed datasets to provide a unified, actionable view of complex research data
Designing practical, workflow-ready solutions that fit seamlessly into existing enterprise operations
Partnering with research consortia and biotech organizations to deliver reliable insights that accelerate decision-making

Our Core Services

Strategic Information Architecture

Short, focused engagements to review an organization’s data landscape, governance frameworks, and provenance patterns, revealing where fragmentation creates bottlenecks and delivering a roadmap to restore data lineage, establish semantic context, and unlock the full potential of AI and automation.

Semantic Modeling &
Standards Harmonization

We build and align semantic models, metadata structures, and controlled standards to enforce consistent meaning across studies, systems, and organizations. This semantic layer underpins metadata registries, catalogs, and harmonized standards, ensuring that analytical pipelines and research workflows operate on unambiguous, reusable data as studies, methods, and technologies evolve.

Data Lineage, Provenance &
Trust Frameworks

We establish end-to-end data lineage and provenance across distributed data pipelines, making data context explicit, traceable, and auditable by design. These trust frameworks create the transparency required for explainable analytics, governed automation, and AI systems that can be confidently deployed in regulated life sciences environments.

TraceLine focuses on the data foundations required for automation and advanced analytics, not on transient tools or models.

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Built on TraceLine Solutions’ semantic data and provenance expertise, Genome2Protocol is an early-stage, innovative research platform that connects fragmented genomic datasets to support faster and more informed site feasibility decisions in clinical trials. By harmonizing federated data and applying ontology-driven mapping, it helps life sciences organizations reduce wasted effort, accelerate trial planning, and ensure underrepresented populations are visible to precision medicine programs.

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Who we are

Dr. Selena Baset

Founder & CEO

Selena Baset founded TraceLine Solutions to help life sciences and biotech organizations establish durable data foundations in environments where scale, regulation, and complexity collide. With over 15 years of experience spanning academia and industry, she designs semantic architectures and metadata systems that enable alignment across domains, platforms, and functions.

Her approach combines systems thinking, deep semantic expertise, and practical delivery. Selena works with organizations to make data context explicit, unlock deterministic automation, and support advanced analytics through traceable, interoperable, and governance-aware information architectures.