Conduct discovery across operational, analytical, and R&D; teams to map current data stores, data inputs and outputs, software APIs, and data silos.
Perform toolchain and data standard assessments, identifying gaps in vendor interoperability, semantic consistency, and data lineage.
Define strategy for legacy repositories: decide which systems stay, migrate, or convert to standardized data layers (e.g., converting vendor-proprietary formats to Allotrope-compliant standard structures).
Operationalize semantic standards.
Establish data models utilizing Allotrope Simple Models (ASM) / Allotrope Data Models (ADM) and Allotrope Data Format (ADF) to standardize analytical data captured across disparate instruments (e.g., LC/MS, HPLC, Plate Readers).
Build unified controlled vocabularies, master metadata registries, and semantic mappings between vendor-native telemetry and enterprise-standard taxonomy.