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Journal Article
The article emphasizes the critical role of user experience (UX) in improving the usability and efficiency of scientific software in life science R&D, highlighting industry insights and a Novartis case study to advocate for greater investment in UX for internal tools.
Pharmaceutical and life science organizations face increasing challenges in managing controlled substances due to complex and evolving legislation, prompting a collaboration under the Pistoia Alliance to develop a Controlled Substance Compliance Service that translates legal requirements into actionable chemical information.
The SESL project shows how smart annotation and data integration can unlock hidden insights on type 2 diabetes by connecting scientific literature with powerful biomedical databases.
To tackle the challenge of storing and sharing large sequencing data, the Pistoia Alliance launched an open contest that sparked innovative compression algorithms and strong community engagement.
This article presents a perspective on semantics-driven data integration in the life sciences, highlighting how the SESL pilot project uses open semantic web standards to unify structured and unstructured public and proprietary data, enhancing access, reducing redundancy, and enabling cross-domain collaboration through a precompetitive consortium.
tranSMART is a globally adopted, open-source platform that empowers collaborative translational research by integrating diverse clinical and omics datasets into a user-friendly environment for data exploration, analysis, and pre‑competitive sharing.
This roadmap outlines a collaborative vision for developing standardized toxicology ontologies to enhance predictive toxicology, improve data interoperability, and support safer, faster therapeutic development.
Life science industries face a data integration crisis fueled by fragmented vocabularies, and this article proposes a new collaborative model to unify terminology and boost research productivity.
Life science researchers face duplicated efforts and fragmented workflows, so creating shared standards and secure, flexible external services—such as for sequence data—can streamline R&D, reduce costs, and boost innovation while addressing critical security and usability concerns.
