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The '''[[National Institutes of Health]]''' ('''NIH''') is a biomedical research facility primarily located in Bethesda, Maryland, USA, operating as an agency of the [[United States Department of Health and Human Services]]. The NIH is the U.S. agency most responsible for biomedical and health-related research, primarily through its Intramural Research Program (IRP), which claims to be "the largest institution for biomedical science on earth." In addition to conducting its own research, the agency provides major biomedical research funding to non-NIH research facilities through its Extramural Research Program (ERP). For example, in 2003 the NIH and its extramural arm provided 28% of biomedical research funding spent annually in the U.S., or about $26.4 billion.
'''"[[Journal:Ten simple rules for managing laboratory information|Ten simple rules for managing laboratory information]]"'''


The NIH comprises 27 separate institutes and centers that conduct research in different disciplines of biomedical science. The IRP is responsible for many scientific accomplishments, including the discovery of fluoride to prevent tooth decay, the use of lithium to manage bipolar disorder, and the creation of vaccines against hepatitis, ''Haemophilus influenzae'' (HIB), and human papillomavirus. The funding of NIH has at times been a source of contention in Congress, serving as a proxy for the political currents of the time. In fiscal year 2010, NIH spent $10.7 billion (not including temporary funding from the ARRA) on clinical research, $7.4 billion on genetics-related research, $6.0 billion on prevention research, $5.8 billion on cancer, and $5.7 billion on [[biotechnology]]. ('''[[National Institutes of Health]]''')<br />
[[Information]] is the cornerstone of [[research]], from experimental data/[[metadata]] and computational processes to complex inventories of reagents and equipment. These 10 simple rules discuss best practices for leveraging [[laboratory information management system]]s (LIMS) to transform this large information load into useful scientific findings. The development of [[mathematical model]]s that can predict the properties of biological systems is the holy grail of [[computational biology]]. Such models can be used to test biological hypotheses, guide the development of biomanufactured products, engineer new systems meeting user-defined specifications, and much more ... ('''[[Journal:Ten simple rules for managing laboratory information|Full article...]]''')<br />
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''Recently featured'': [[Laboratory information system]], [[Denuder]], [[Infectious disease informatics]]
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Latest revision as of 18:03, 10 June 2024

Fig2 Berezin PLoSCompBio23 19-12.png

"Ten simple rules for managing laboratory information"

Information is the cornerstone of research, from experimental data/metadata and computational processes to complex inventories of reagents and equipment. These 10 simple rules discuss best practices for leveraging laboratory information management systems (LIMS) to transform this large information load into useful scientific findings. The development of mathematical models that can predict the properties of biological systems is the holy grail of computational biology. Such models can be used to test biological hypotheses, guide the development of biomanufactured products, engineer new systems meeting user-defined specifications, and much more ... (Full article...)

Recently featured:

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