The advances in high-throughput technologies have resulted in tremendous growth in biological data, consequently increasing the number of published research papers. This provides challenges for curators and researchers alike in finding, and assimilating scientific facts described in articles. Therefore, services that support browsing of scientific content and identifying key biological concepts with minimal effort would be beneficial for the community. To this end, the task 3.3 of Work Package 3 under the Elixir-Excelerate grant is concerned with exploring technical solutions and the infrastructure needed to support scalability of curation tasks. This document reports the work delivered so far in laying the foundation for an infrastructure that facilitates literature-data integration and enrichment. The work can be split into two main aspects: (1) establishing infrastructural elements, that includes, an automated system to ingest annotations, a platform to integrate annotations from various sources and APIs to redistribute the annotations; (2) applications to display annotations on articles and handle complex GeneRIF annotations. Finally, this work covers the implementation of a mechanism to create deep links between literature and data and the integrations of annotations as part of the database curation workflow. The infrastructural elements delivered under Work Package 3 has demonstrated how text-mining annotations from different sources can be ingested and made available for reuse. Going forward, these components needs to be tested for its usability. This requires engagement the curation community to derive actionable insights that may feed into improving the various components, for example, text-mined annotations, browsing and article triage.