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In 2009, the plan was finalized and submitted to the Secretary of the Department of Health and Human Services; a seventh question related to infrastructure and surveillance needs was added to the plan in 2010. NDAR was developed by the NIH with the goal of improving sample sizes and enabling researchers to share data for increased analyses.
In order to get funding from the National Institutes of Health, researchers now need a plan for sharing and managing their data. Exdez/Digital Vision Vectors via Getty ImagesStarting on Jan. 25 ...
NAHDAP's staff consists of professional researchers, data archivists and technicians working together to obtain, process, distribute, and promote amongst social science researchers sharing of data relevant to drug addiction and HIV. NAHDAP is a project of the National Institute on Drug Abuse, part of the National Institutes of Health.
Data sharing is the practice of making data used for scholarly research available to other investigators. Many funding agencies, institutions, and publication venues have policies regarding data sharing because transparency and openness are considered by many to be part of the scientific method. [1]
Big Data to Knowledge (BD2K) is a project of the National Institutes of Health for knowledge extraction from big data. BD2K was founded in 2013 in response to a report from the Working Group on Data and Informatics for the Advisory Committee to the Director of the National Institutes of Health.
The Public Access Compliance Monitor (PACM or "compliance monitor") is a service from the National Library of Medicine that helps users at NIH-funded institutions locate and track the compliance of funded papers with the NIH Public Access Policy at an institutional level.
ODM is a vendor-neutral, platform-independent format for interchange and archive of clinical study data. The model includes the clinical data along with its associated metadata, administrative data, reference data and audit information. [8] ODM was first introduced in 1999, and the latest version, 1.3.2, was released in 2012. [9]
PhenX Toolkit's mission is to provide investigators with standard measurement protocols for use in genomic, epidemiologic, clinical and translational research. Use of PhenX measures facilitates combining data from a variety of studies, and makes it easy for investigators to expand a study design beyond the primary research focus.