BACKGROUND: Biospecimens collected during medical research and the data derived from these materials represent a valuable resource of genetic and genomic information that can be used in biopharmaceutical drug development. The growing industry trend towards personalized medicine combined with reductions in research funding is creating the need for organizations to focus on optimization of sample asset inventories and integration of high-quality sample bioprocessing methods in order to maximize future research and reduce costs.Many organizations have turned to smartsourcing strategies which leverage specialized outsourcing service partners to manage their sample assets due to the required investment in staff, technology, equipment and facilities. At its core, smartsourcing moves beyond the traditional “lift and shift” outsourcing philosophy to a more flexible “value by innovating” philosophy. Sample management smartsourcing strategies include offsite, onsite and hybrid models that can be integrated with sample bioprocessing to deliver incremental value. Biospecimen smartsourcing strategies are evolving to support organizations in achieving significant cost savings and research advancements. As such, the poster will detail the scientific and financial benefits of taking a strategic approach to sample management. Specifically, the poster will highlight: Various smartsourcing management models for centralized specimen storage, bioprocessing and data reconciliation. How to assess existing sample management processes to identify opportunities for improvements and cost-savings. Financial and scientific benefits of integrating sample management and bioprocessing solutions through smartsourcing partnerships. CONCLUSION: Sample management smartsourcing strategies challenge research organizations to not only focus on best practices in biobanking, but also to seek improvements in bioprocessing methodology, operating procedures, technology and data management. Organizations that manage research samples as valuable scientific assets achieve improved sample optimization and utilization throughout the discovery and development process, which enables them to invest in their R&D core competencies.
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