A Platform for Biomedical Discovery and Data-Powered Health | US National Library of Medicine
ab1630's bookmarks 2018-03-24
"A Platform for Biomedical Discovery and Data-Powered Health" National Library of Medicine Strategic Plan 2017–2027. Report of the NLM Board of Regents...
The National Library of Medicine (NLM) envisions a future in which data and information transform and accelerate biomedical discovery and improve health and health care.
Achieving this vision will require NLM to refocus and enhance its research, development, training, and information services to make more biomedical data ndable, accessible, interoperable, and reusable, to invent the tools and services to turn data and information into knowledge and insight, and to develop the workforce capable of doing so. It will require new forms of partnership and engagement with stakeholders in the public and private sectors, including researchers, librarians, health professionals, entrepreneurs and innovators, underserved communities, and the public.
is strategic plan outlines NLM’s priorities for enabling a future of biomedical discovery and data-powered health. It heralds a new research paradigm in which data-driven science com- plements experimental and observational approaches, care is characterized by high levels of personalization, and personally collected data become a foundation of self-knowledge and personal health management.
To become a platform for biomedical discovery and data-powered health, NLM must collect and integrate an expanding set of information resources and enable them to be analyzed by tools emerging from the informatics and data science research front. It must establish path- ways for dissemination and engagement across a broad range of users to drive information to the right place at the right time. It must expand training initiatives for informatics and data science research, and for technical support that will drive and shape the future of biomedical discovery. It must accelerate its investments in research in informatics and data science and align its research, development, and resource priorities toward achieving three goals, with an organizational structure that optimizes implementation..."