Researchers struggle to find compatible datasets when basic information about how experiments were conducted is missing or inconsistent. The Experiments Metadata Checklist (Expmeta), approved as a GA4GH product in November 2025, provides a minimum set of properties to describe sequencing experiments. It currently focuses on core properties that apply to most sequencing approaches in a generic way.

In this working session, we will:

• focus on expanding Expmeta coverage to three critical experiment types: long-read sequencing, single-cell sequencing, and targeted sequencing (including metabarcoding and metagenomics);
• define which metadata properties are essential for each approach; - discuss practical integration of Expmeta into Beacon implementations for federated dataset discovery;
• engage the Canadian genomics landscape on adoption and implementation needs.

We are seeking input from sequencing facility managers, bioinformaticians implementing data repositories, and researchers working with these newer sequencing approaches. What metadata do you need to determine if a dataset used comparable methods to yours? The goal is to ensure Expmeta covers the experiment types researchers actually use, with clear guidance for implementation in Discovery tools.