Office Of Portfolio Analysis
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Office Of Portfolio Analysis
The Office of Portfolio Analysis was established in the Division of Program Coordination, Planning, and Strategic Initiatives in 2011 to assist NIH Institutes and Centers with scientific portfolio analysis. Per the Federal Register, the Office of Portfolio Analysis serves the following goals: # Prepare and analyze data on NIH sponsored biomedical research to inform trans-NIH planning and coordination; # Serve as a resource for portfolio management at the programmatic level; # Employ databases, analytic tools, methodologies and other resources to conduct assessments in support of portfolio analyses and priority setting in scientific areas of interest across NIH; # Research and develop new analytic tools, support systems, and specifications for new resources in coordination with other NIH organizations to enhance the management of the NIH's scientific portfolio; and # Provide, in coordination with other NIH organizations, training on portfolio analysis tools, procedures, and methodo ...
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Division Of Program Coordination, Planning, And Strategic Initiatives
The Division of Program Coordination, Planning, and Strategic Initiatives (DPCPSI) is a division of the Office of the Director of the National Institutes of Health of the United States of America. DPCPSI was formally established as part of implementing the requirements of the NIH Reform Act of 2006. The Division coordinates research and activities from a trans-NIH perspective. The offices under its leadership are: * Office of AIDS Research * Office of Behavioral and Social Sciences Research * Office of Data Science Strategy * Office of Dietary Supplements * Office of Disease Prevention * Office of Evaluation, Performance, and Reporting * Office of Portfolio Analysis * Office of Research Infrastructure Programs * Office of Research on Women's Health The National Institutes of Health (NIH) is an agency of the United States Department of Health and Human Services and is the primary agency of the United States government responsible for biomedical and health-related research. It ...
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Bibliometrics
Bibliometrics is the use of statistical methods to analyse books, articles and other publications, especially in regard with scientific contents. Bibliometric methods are frequently used in the field of library and information science. Bibliometrics is closely associated with scientometrics, that is the analysis of scientific metrics and indicators, to the point that both fields largely overlap. Bibliometrics studies first appeared in the late 19th century. They have known a significative development after the Second World War in a context of "periodical crisis" and new technical opportunities offered by computing tools. In the early 1960s, the Science Citation Index of Eugene Garfield and the citation network analysis of Derek John de Solla Price laid the fundamental basis of a structured research program on bibliometrics. Citation analysis is a commonly used bibliometric method which is based on constructing the citation graph, a network or graph representation of the cita ...
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Open Access
Open access (OA) is a set of principles and a range of practices through which research outputs are distributed online, free of access charges or other barriers. With open access strictly defined (according to the 2001 definition), or libre open access, barriers to copying or reuse are also reduced or removed by applying an open license for copyright. The main focus of the open access movement is "peer reviewed research literature". Historically, this has centered mainly on print-based academic journals. Whereas non-open access journals cover publishing costs through access tolls such as subscriptions, site licenses or pay-per-view charges, open-access journals are characterised by funding models which do not require the reader to pay to read the journal's contents, relying instead on author fees or on public funding, subsidies and sponsorships. Open access can be applied to all forms of published research output, including peer-reviewed and non peer-reviewed academic journa ...
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Machine Learning
Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning IEEE Transactions on Vehicular Technology, 2020. A subset of machine learning is closely related to computational statistics, which focuses on making predicti ...
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Bench To Bedside
Translational medicine (often called translational science, of which it is a form) is defined by the European Society for Translational Medicine as "an interdisciplinary branch of the biomedical field supported by three main pillars: benchside, bedside, and community". The goal of translational medicine is to combine disciplines, resources, expertise, and techniques within these pillars to promote enhancements in prevention, diagnosis, and therapies. Accordingly, translational medicine is a highly interdisciplinary field, the primary goal of which is to coalesce assets of various natures within the individual pillars in order to improve the global healthcare system significantly. History Translational medicine is a rapidly growing discipline in biomedical research and aims to expedite the discovery of new diagnostic tools and treatments by using a multi-disciplinary, highly collaborative, "bench-to-bedside" approach. Within public health, translational medicine is focused on ensur ...
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San Francisco Declaration On Research Assessment
The San Francisco Declaration on Research Assessment (DORA) intends to halt the practice of correlating the journal impact factor to the merits of a specific scientist's contributions. Also according to this statement, this practice creates biases and inaccuracies when appraising scientific research. It also states that the impact factor is not to be used as a substitute "measure of the quality of individual research articles, or in hiring, promotion, or funding decisions". The declaration originated from the December 2012 meeting of the American Society for Cell Biology, and was published on May 13, 2013, signed by more than 150 scientists and 75 scientific organizations. The American Society for Cell Biology states that, , there were more than 6,000 individual signatories to the declaration and that the number of scientific organizations "signing on has gone from 78 to 231" within two weeks. As of 14 December 2017, the number of individual signatories has risen to over 12 ...
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Journal Impact Factor
The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric index calculated by Clarivate that reflects the yearly mean number of citations of articles published in the last two years in a given journal, as indexed by Clarivate's Web of Science. As a journal-level metrics, journal-level metric, it is frequently used as a Proxy (statistics), proxy for the relative importance of a journal within its field; journals with higher impact factor values are given the status of being more important, or carry more prestige in their respective fields, than those with lower values. While frequently used by universities and funding bodies to decide on promotion and research proposals, it has come under attack for distorting good scientific practices. History The impact factor was devised by Eugene Garfield, the founder of the Institute for Scientific Information (ISI) in Philadelphia. Impact factors began to be calculated yearly starting from 1975 for journ ...
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Scientific Publications
: ''For a broader class of literature, see Academic publishing.'' Scientific literature comprises scholarly publications that report original empirical and theoretical work in the natural and social sciences. Within an academic field, scientific literature is often referred to as the literature. Academic publishing is the process of contributing the results of one's research into the literature, which often requires a peer-review process. Original scientific research published for the first time in scientific journals is called the primary literature. Patents and technical reports, for minor research results and engineering and design work (including computer software), can also be considered primary literature. Secondary sources include review articles (which summarize the findings of published studies to highlight advances and new lines of research) and books (for large projects or broad arguments, including compilations of articles). Tertiary sources might include en ...
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Citation Metrics
Citation impact is a measure of how many times an academic journal article or book or author is cited by other articles, books or authors. Citation counts are interpreted as measures of the impact or influence of academic work and have given rise to the field of bibliometrics or scientometrics, specializing in the study of patterns of academic impact through citation analysis. The journal impact factor, the two-year average ratio of citations to articles published, is a measure of the importance of journals. It is used by academic institutions in decisions about academic tenure, promotion and hiring, and hence also used by authors in deciding which journal to publish in. Citation-like measures are also used in other fields that do ranking, such as Google's PageRank algorithm, software metrics, college and university rankings, and business performance indicators. Article-level One of the most basic citation metrics is how often an article was cited in other articles, books, or ot ...
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SSRN
The Social Science Research Network (SSRN) is a repository for preprints devoted to the rapid dissemination of scholarly research in the social sciences, humanities, life sciences, and health sciences, among others. Elsevier bought SSRN from Social Science Electronic Publishing Inc. in May 2016. History SSRN was founded in 1994 by Michael C. Jensen and Wayne Marr, both financial economists. In January 2013, SSRN was ranked the biggest open-access repository in the world by Ranking Web of Repositories (an initiative of the Cybermetrics Lab, a research group belonging to the Spanish National Research Council), measured by number of PDF files, backlinks and Google Scholar results. In May 2016, SSRN was bought from Social Science Electronic Publishing Inc. by Elsevier. On 17 May 2016, the SSRN founder and chairman Michael C. Jensen wrote a letter to the SSRN community in which he cited SSRN CEO Gregg Gordon's post on the Elsevier Connect and the "new opportunities" coming fr ...
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George Santangelo
George M. Santangelo is an American genomicist and data scientist. He is the director of the Office of Portfolio Analysis at the National Institutes of Health. Education and career Santangelo received his bachelor's degree from the University of Pennsylvania, and his Ph.D. from Yale University. In 2011, he was appointed as director of the newly formed Office of Portfolio Analysis The Office of Portfolio Analysis was established in the Division of Program Coordination, Planning, and Strategic Initiatives in 2011 to assist NIH Institutes and Centers with scientific portfolio analysis. Per the Federal Register, the Office of ... at the National Institutes of Health. Santangelo oversees a team of analysts, data scientists, and software developers to enable data-driven decision-making. Selected works * * * * References {{DEFAULTSORT:Santangelo, George Living people Year of birth missing (living people) National Institutes of Health people Yale University a ...
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