The Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) facilitates finding and comparing neuroimaging resources for functional and structural neuroimaging analyses—including popular tools as well as those that once might have been hidden in another researcher's laboratory or some obscure corner of cyberspace. NITRC collects and points to standardized information about tools, making the task of finding and comparing them easier than before. The site can help researchers find the right functional or structural neuroimaging tool or resource for their research. NITRC has recently added services such as cloud-based computing and data storage, and is broadening the range of scientific domains from MR to PET, SPECT, CT, MEG/EEG and optical imaging. Additional domains of interest are digital atlasing, and computational neuroscience, including large-scale and multi-scale modeling. The NITRC team searches out relevant research tools and resources to house on the site. Researchers can compare tools on NITRC and developers can seek and receive help from the community to make their tools more usable and accessible.

A list of NIH-supported repositories that accept submissions of appropriate scientific research data from biomedical researchers. It includes resources that aggregate information about biomedical data and information sharing systems. Links are provided to information about submitting data to and accessing data from the listed repositories. Additional information about the repositories and points-of contact for further information or inquiries can be found on the websites of the individual repositories.

US weekly Nationally Notifiable Disease Surveillance Data from 1888 to 2013. These data include tables of disease counts reported by US states and cities to the Federal Health Authorities every week since 1888. These tables have been published in various journals over time and are available in various online repositories but are now also available in digital, computer-readable format.

US weekly Nationally Notifiable Disease Surveillance Data from 1888 to 2013. These data include tables of disease counts reported by US states and cities to the Federal Health Authorities every week since 1888. These tables have been published in various journals over time and are available in various online repositories but are now also available in digital, computer-readable format.

• API Help: http://www.tycho.pitt.edu/api_help.php
• API Key: https://www.tycho.pitt.edu/apikey.php

RadLex is a controlled terminology for radiology and serves as a single unified source of radiology terms for radiology practice, education, and research. RadLex is a comprehensive lexicon for standardized indexing and retrieval of radiology information resources. With more than 30,000 terms, RadLex satisfies the needs of software developers, system vendors and radiology users by adopting the best features of existing terminology systems while producing new terms to fill critical gaps. RadLex also provides a comprehensive and technology-friendly replacement for the ACR Index for Radiological Diagnoses. It unifies and supplements other lexicons and standards, such as SNOMED-CT, LOINC, and DICOM. As images, image reports, and medical records continue to move online RadLex meets the need of physicians to organize and retrieve image data using a common set of terms.



RadReport is a radiology reporting initiative that is a part of RadLex. RadReport aims to improve reporting practices by creating a library of clear and consistent report templates. Report templates and information about RadReport is available at the link in Resource 2.

A search-based Web service that provides access to disease, condition and wellness information via MedlinePlus health topic data in XML format. The service accepts keyword searches as requests and returns relevant MedlinePlus health topics in ranked order. The service also returns health topics summaries, search result snippets and other associated data.

This dataset represents all technologies available for licensing from the National Institutes of Health (NIH), the Food and Drug Administration (FDA), and the Center for Disease Control and Prevention (CDC).

A Web application that allows patient portals and electronic health record (EHR) systems to use existing code sets to link to relevant, authoritative health information from MedlinePlus.gov. Matches ICD-9-CM or SNOMED CT codes to related MedlinePlus consumer health information, LOINC codes to information on lab tests, and also matches NDC, RXCUI or text strings to patient medication information.