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How better data management helped researchers find and fund promising studies.
A centralized data platform gave NIH a clearer view of research investments, helping teams track funding and measure the impact of their programs.
qualifying study subjects with comprehensive clinical profiles
increase in funded projects3K+ processed RNA sequencing samples
Publicis Sapient is using digital transformation to help the National Institutes of Health (NIH) implement centralized research protocols and data repositories to advance medical breakthroughs. By coordinating stakeholders and applying advanced techniques, they have increased funded projects by 300%—expediting critical medical advancements.
More than 6 million people live with Parkinson’s disease worldwide. However, researchers fighting the illness have been hindered by limited funding, technical resources and access to large-scale data sets. Traditional, partitioned data capture methods and the limited availability of super computers powerful enough for gene sequencing and analysis have wasted significant time and created duplication of effort.
Hoping to expedite the development of new medical treatments by jointly identifying and validating new disease therapies, the National Institutes of Neurological Disorders and Stroke (NINDS) Parkinson's Disease Biomarker Program (PDBP) partnered with Publicis Sapient. The aim was to establish new ways of documenting, sharing and leveraging data. Together, they are using existing NIH program resources, modular new protocols and transformative industry change management to develop an exponentially more productive global research collaborative.
Through the use of data transformation templates, machine learning and proprietary software, Publicis Sapient is helping the NINDS PDBP improve the way the research community is capturing, sharing and leveraging data across the research community. This includes optimizing data acquisition standards, centralizing biospecimens for more in-depth, targeted analysis and expanding identifier capabilities. The work also increases industry collaboration and coordination while building a more thorough shared data set to support research across the field.
Through this initiative, IT Infrastructure advancements, new data access and changing researcher practices have allowed the PDBP program to significantly improve its approach to standardizing data capture protocols.
By providing more reliable and comprehensive de-identified data sets to other researchers, Publicis Sapient played a role in helping the National Institutes of Health become more efficient with large-scale data analysis and set new standards for medical research best practices.
This data output has resulted in comprehensive clinical profiles for 1,599 qualifying study subjects, providing 1,469 whole genome-sequencing samples and 3,538 processed RNA-sequence samples.
PDBP has provided the medical community a large, harmonized Parkinson’s disease data set to perform advanced sequencing and analysis. And the client’s work is now expanding into a new research focusing on related disease data.
