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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Michael J. Fox Foundation for Parkinsons Research Resource Report Resource Website 50+ mentions |
Michael J. Fox Foundation for Parkinsons Research (RRID:SCR_006183) | MJFF | portal, disease-related portal, funding resource, topical portal, data or information resource | A Parkinson's research foundation dedicated to finding a cure for Parkinson's disease and to ensuring the development of improved therapies. Pipeline Programs fund investigator-initiated proposals focused on the following critical points along the translational pathway to new therapies for Parkinson's disease. | parkinson's disease, clinical, translational, foundational, research, funding resource |
is related to: Biomarkers Across Neurodegenerative Diseases is parent organization of: Michael J. Fox Foundation Funded Grants is parent organization of: Biomarkers Across Neurodegenerative Diseases is parent organization of: Parkinson's Progression Markers Initiative is parent organization of: Parkinson's Disease Online Research |
Public, Funding available to researchers | nif-0000-00518 | SCR_006183 | Michael J. Fox Foundation for Parkinson's Research, Michael J. Fox Foundation | 2026-08-03 09:33:01 | 68 | |||||||
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BioGrid Australia Resource Report Resource Website 100+ mentions |
BioGrid Australia (RRID:SCR_006334) | BioGrid Australia | production service resource, data analysis service, service resource, database, analysis service resource, data or information resource | A federated data sharing platform and infrastructure that provides access to real-time clinical, imaging and biospecimen data across jurisdictions, institutions and diseases. The web-based platform provides a secure infrastructure that advances health research by linking privacy-protected and ethically approved data among a wide network of health collaborators. Access to de-identified health records data is granted to authorized researchers after an application process so patient privacy and intellectual property are protected. BioGrid Australia''s approved researchers are provided access to multiple institutional databases, via the BioGrid interface, preventing gaps in patient records and research analysis. This legal and ethical arrangement with participating collaborators allows BioGrid to connect data through a common platform where data governance and access is managed by a highly skilled team. Data governance, security and ethics are at the core of BioGrid''s federated data sharing platform that securely links patient level clinical, biospecimen, genetic and imaging data sets across multiple sites and diseases for the purpose of medical research. BioGrid''s infrastructure and data management strategies address the increasing need by authorized researchers to dynamically extract and analyze data from multiple sources whilst protecting patient privacy. BioGrid has the capability to link data with other datasets, produce tailored reports for auditing and reporting and provide statistical analysis tools to conduct more advanced research analysis. In the health sector, BioGrid is a trusted independent virtual real-time data repository. Government investment in BioGrid has facilitated a combination of technology, collaboration and ethics approval processes for data sharing that exist nowhere else in the world. | endocrinology, neuroscience, imaging, medicine, oncology, population, cancer, cystic fibrosis, diabetes, pet, mri, clinical, respiratory, health, epilepsy, neuropsychiatry, data sharing, FASEB list | Cancer, Diabetes, Epilepsy, Cystic fibrosis, Respiratory disease, Multiple Sclerosis, Stroke, Bone density | Closed; Authorized researchers only. | nlx_152036, r3d100012476 | https://doi.org/10.17616/R3921N | http://www.biogrid.org.au/wps/portal | SCR_006334 | BioGrid Australia Limited | 2026-08-03 09:33:05 | 294 | |||||
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XNAT Central Resource Report Resource Website 10+ mentions |
XNAT Central (RRID:SCR_006235) | XNAT Central | data repository, data or information resource, database, image repository, storage service resource, service resource | Online repository of open access images including MR Sessions, MRI, Freesurfer APARC, Freesurfer ASEGs, Clinical Assessments, Atlas Scaling Factors, and Fast Segmentations data. CENTRAL currently contains 374 Projects, 3808 Subjects, and 5174 Imaging Sessions (June 2014). Central is powered by XNAT (The Extensible Neuroimaging Archive Toolkit), an open source software platform designed to facilitate management and exploration of neuroimaging and related data. XNAT includes a secure database backend and a rich web-based user interface. | magnetic resonance, pet, computed tomography, neuroimaging, mri, computer axial tomography imaging protocol, freesurfer aparc, freesurfer aseg, clinical assessment, atlas scaling factor, fast segmentation, image collection, clinical |
is used by: NITRC-IR is used by: NIF Data Federation is used by: Integrated Datasets is listed by: re3data.org is related to: Morphometry BIRN is related to: XNAT - The Extensible Neuroimaging Archive Toolkit has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
Free, Freely available | nif-0000-04375, r3d100010874 | https://doi.org/10.17616/R3533H | SCR_006235 | Extensible Neuroimaging Archive Toolkit CENTRAL | 2026-08-03 09:32:56 | 40 | ||||||
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Ontology for Biomedical Investigations Resource Report Resource Website 10+ mentions |
Ontology for Biomedical Investigations (RRID:SCR_006266) | OBI | controlled vocabulary, data or information resource, ontology | An ontology for the description of biological and clinical investigations built with international, collaborative effort. The ontology represents the design of an investigation, the protocols and instrumentation used, the material used, the data generated and the type analysis performed on it. This includes a set of universal terms that are applicable across various biological and technological domains, and domain-specific terms relevant only to a given domain. Currently OBI is being built under the Basic Formal Ontology (BFO). This project was formerly titled the Functional Genomics Investigation Ontology (FuGO) project. | life-science, clinical, investigation, biomedical, protocol, instrumentation, experiment, biology, owl, molecular, cellular, organismal, multi-organismal |
is used by: Information Artifact Ontology is used by: Beta Cell Genomics Ontology is listed by: FORCE11 is listed by: BioPortal is listed by: OBO is related to: Information Artifact Ontology is related to: Chemical Methods Ontology is related to: Genomic Standards Consortium |
PMID:20626927 | Creative Commons Attribution License v3 | nif-0000-06698 | http://purl.obofoundry.org/obo/obi.owl, http://purl.obofoundry.org/obo/obi, https://www.force11.org/node/4700 | SCR_006266 | OBI Ontology | 2026-08-03 09:32:57 | 19 | |||||
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FURTHeR Resource Report Resource Website 50+ mentions |
FURTHeR (RRID:SCR_006383) | FURTHeR | data repository, portal, community building portal, data or information resource, database, storage service resource, service resource | Data and knowledge management infrastructure for the new Center for Clinical and Translational Science (CCTS) at the University of Utah. This clinical cohort search tool is used to search across the University of Utah clinical data warehouse and the Utah Population Database for people who satisfy various criteria of the researchers. It uses the i2b2 front end but has a set of terminology servers, metadata servers and federated query tool as the back end systems. FURTHeR does on-the-fly translation of search terms and data models across the source systems and returns a count of results by unique individuals. They are extending the set of databases that can be queried. | biomedical, clinical, informatics, platform, federated, translation, institutional review board, data management software, clinical data, federation, FASEB list |
is related to: Clinical and Translational Science Awards Consortium has parent organization: University of Utah School of Medicine; Utah; USA |
National Center for Advancing Translational Sciences ; U.S. Department of Health and Human Services ; University of Utah Research Foundation ; NCRR UL1 RR025764 |
PMID:20351825 PMID:18999122 |
Restricted | nlx_152164 | http://www.further.utah.edu/ | SCR_006383 | Federated Utah Research and Translational Health Electronic Repository, FURTHeR - Federated Utah Research and Translational Health Electronic Repository | 2026-08-03 09:33:04 | 77 | ||||
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ePRISM Resource Report Resource Website 1+ mentions |
ePRISM (RRID:SCR_006386) | ePRISM | data management software, software resource, software application | Software application that supports the execution of multivariable prediction models with patient-specific characteristics so that personalized estimates of outcomes, often as a function of alternative treatments, can be generated within the routine flow of patient care. This can support evidence-based, shared medical decision-making to improve the safety, outcomes and cost-effectiveness of care. The current application is in the setting of generating individualized informed consent documents for PCI. However, the tool can support that translation of novel biomarkers, genetics and pharmacogenomic interactions into clinical care. The platform gives healthcare providers instantaneous access to the latest clinical prediction models coupled with rich visualization tools. These models may come from national organizations, outcomes researchers or a specific institution. In addition to decision support applications, it can be used to rapidly create personalized educational materials, patient letters, informed consent documents and a broad array of other items that can help elevate the quality of healthcare delivery. | healthcare, clinical, prediction model, visualization, platform |
is related to: Clinical and Translational Science Awards Consortium has parent organization: University of Kansas Medical Center; Kansas; USA |
nlx_152166 | SCR_006386 | Patient Refined Information Services Manager | 2026-08-03 09:33:04 | 3 | ||||||||
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cTAKES Resource Report Resource Website 10+ mentions |
cTAKES (RRID:SCR_006379) | cTAKES | text-mining software, software resource, source code, software application | An open-source natural language processing system for information extraction from electronic medical record clinical free-text. This is a system through which one creates one or more pipelines to process clinical notes and to identify clinical named entities. It processes clinical notes, identifying types of clinical named entities, drugs, diseases/disorders, signs/symptoms, anatomical sites and procedures. Each named entity that is found is given attributes for the text span, the ontology mapping code, the context (family history of, current, unrelated to patient), and negated/not negated. cTAKES is built on the UIMA framework. cTAKES 2.5 does not provide a GUI of its own for installation or processing. The cTAKES documentation shows how to use the GUIs provided by the UIMA framework, and how to run cTAKES from a command line. Before using cTAKES you need to know that cTAKES does not provide any mechanisms of its own to handle patient data securely. It is assumed that cTAKES is installed on a system that can process patient data, or that any data being processed by cTAKES has already been through a deidentification step in order to comply with any applicable laws. The tool has been developed and deployed at Mayo Clinic since early 2000. | natural language processing, information extraction, electronic medical record, medical record, clinical, free-text, annotation, unstructured information management architecture, uima |
is related to: Clinical and Translational Science Awards Consortium has parent organization: Mayo Clinic Minnesota; Minnesota; USA has parent organization: National Cancer Institute |
IBM UIMA ; SHARPn Strategic Health IT Advanced Research Projects Area 4: Secondary Use of EHR Data Cooperative Agreement from the HHS Office of the National Coordinator Washington DC DHHS 90TR000201 |
PMID:23286462 PMID:20819853 |
Open-source | nlx_152159 | https://wiki.nci.nih.gov/display/VKC/cTAKES+2.5 | SCR_006379 | cTAKES - clinical Text Analytics and Knowledge Extraction System, Clinical Text Analysis and Knowledge Extraction System | 2026-08-03 09:33:06 | 42 | ||||
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Creatinine Standardization Program Resource Report Resource Website 1+ mentions |
Creatinine Standardization Program (RRID:SCR_006441) | Creatinine Standardization Program | standard specification, experimental protocol, narrative resource, resource, international standard specification, data or information resource | Standard specification to reduce inter-laboratory variation in creatinine assay calibration and therefore enable more accurate estimates of glomerular filtration rate (eGFR). Created by NKDEP''''s Laboratory Working Group in collaboration with the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) and the European Communities Confederation of Clinical Chemistry (now called the European Federation of Clinical Chemistry and Laboratory Medicine), the effort is part of a larger NKDEP initiative to help health care providers better identify and treat chronic kidney disease in order to prevent or delay kidney failure and improve patient outcomes. Recommendations are intended for the USA and other countries or regions that have largely completed standardization of creatinine calibration to be traceable to an isotope dilution mass spectrometry (IDMS) reference measurement procedure. The program''''s focus is to facilitate the sharing of information to assist in vitro diagnostic manufacturers, clinical laboratories, and others in the laboratory community with calibrating their serum creatinine measurement procedures to be traceable to isotope dilution mass spectrometry (IDMS). The program also supports manufacturers'''' efforts to encourage their customers in the laboratory to coordinate use of standardized creatinine methods with implementation of a revised GFR estimating equation appropriate for use with standardized creatinine methods. Communication resources and other information for various segments of the laboratory community are available in the Creatinine Standardization Recommendations section of the website. Also available is a protocol for calibrating creatinine measurements using whole blood devices. The National Institute for Standards and Technology (NIST) released a standard reference material (SRM 967 Creatinine in Frozen Human Serum) for use in establishing calibrations for routine creatinine measurement procedures. SRM 967 was validated to be commutable with native serum samples for many routine creatinine procedures and is useful to establish or verify traceability to an IDMS reference measurement procedure. Establishing calibrations for serum creatinine methods using SRM 967 not only provides a mechanism for ensuring more accurate measurement of serum creatinine, but also enables more accurate estimates of GFR. For clinical laboratories interested in independently checking the calibration supplied by their creatinine reagent suppliers/manufacturers, periodic measurement of NIST SRM 967 should be considered for inclusion in the lab''''s internal quality assurance program. To learn more about SRM 967, including how to purchase it, visit the NIST website, https://www-s.nist.gov/srmors/quickSearch.cfm | creatinine, estimate, glomerular filtration rate, kidney, isotope dilution mass spectrometry, whole blood, calibration, serum, serum creatinine, clinical |
is related to: Glomerular Filtration Rate Calculators is related to: NIDDK Information Network (dkNET) is related to: NIST - National Institute of Standards and Technology has parent organization: National Kidney Disease Education Program |
Chronic kidney disease | NIDDK | nlx_152736 | SCR_006441 | 2026-08-03 09:33:07 | 2 | |||||||
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Johns Hopkins Point of Care Guides Resource Report Resource Website 1+ mentions |
Johns Hopkins Point of Care Guides (RRID:SCR_006314) | Johns Hopkins POC-IT Guides | mobile app, database, software application, data or information resource, software resource | Authoritative, need-to-know information from Johns Hopkins available for mobile devices and the web. Guides provide up to date information and break down details of diagnosis, drug indications, dosing, pharmacokinetics, side effects and interactions, pathogens, management, and vaccines into frequently-updated, quick-read entries. Available for infectious disease (ABX), diabetes, and HIV. | point of care, antibiotic, pathogen, infectious disease, drug, clinical test, management, complication, medication, clinical, infection, resistance | is related to: ABX Guide | Diabetes, Infectious disease, HIV | Available for purchase | nlx_151999 | SCR_006314 | Johns Hopkins Medicine POC-IT Guides, Johns Hopkins Guides: Antibiotic HIV and Diabetes Guides, POC-IT Guides | 2026-08-03 09:32:58 | 2 | ||||||
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OMIM Resource Report Resource Website 5000+ mentions |
OMIM (RRID:SCR_006437) | OMIM, MIM | catalog, data or information resource, database | Online catalog of human genes and genetic disorders, for clinical features, phenotypes and genes. Collection of human genes and genetic phenotypes, focusing on relationship between phenotype and genotype. Referenced overviews in OMIM contain information on all known mendelian disorders and variety of related genes. It is updated daily, and entries contain copious links to other genetics resources. | gene, genetics, phenotype, genotype, genetic loci, mutation, clinical, trait, disorder, umls, ontology, gold standard, FASEB list |
is used by: Human Phenotype Ontology is used by: NIF Data Federation is used by: MitoMiner is used by: Schizo-Pi is used by: GEMINI is used by: MARRVEL is used by: HmtPhenome is listed by: BioPortal is listed by: OMICtools is related to: HomoloGene is related to: TopoSNP is related to: phenomeNET is related to: Integrated Gene-Disease Interaction is related to: OMIA - Online Mendelian Inheritance in Animals is related to: Europhenome Mouse Phenotyping Resource is related to: Homophila is related to: Biomine is related to: MalaCards is related to: PhenoTips is related to: KOBAS is related to: Integrated Manually Extracted Annotation is related to: aGEM is related to: biomaRt has parent organization: Johns Hopkins University School of Medicine; Baltimore, Maryland; USA has parent organization: NCBI works with: Human Mouse Disease Connection works with: Database of genes related to Repeat Expansion Diseases |
Genetic disorder, Mendelian disorder, Developmental disorder | PMID:22477700 PMID:22470145 PMID:21472891 PMID:19728286 PMID:18842627 PMID:18428346 PMID:17642958 PMID:17357067 PMID:15608251 PMID:15360913 PMID:11752252 PMID:10845565 PMID:10612823 PMID:9805561 PMID:7937048 PMID:1867277 |
Restricted | nif-0000-03216, r3d100010416, OMICS_00278 | http://www.ncbi.nlm.nih.gov/sites/entrez?db=omim, http://www.ncbi.nlm.nih.gov/Omim/, http://purl.bioontology.org/ontology/OMIM, https://doi.org/10.17616/R3188W | SCR_006437 | Online Mendelian Inheritance in Man, OMIM - Online Mendelian Inheritance in Man, MIM, The Online Mendelian Inheritance in Man Morbid Map | 2026-08-03 09:33:04 | 5456 | ||||
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PatientCrossroads Resource Report Resource Website 1+ mentions |
PatientCrossroads (RRID:SCR_006279) | PatientCrossroads | portal, patient registry, people resource, topical portal, data or information resource | A trusted third-party gatekeeper of patient data from participants in a rare disease ecosystem, collecting and managing the information in a scalable, cost-effective manner. Each patient registry provides critical disease knowledge which makes that disease easier to study, increasing the probability a treatment can be developed. PatientCrossroads takes a network approach to patient registry programs. Unlike companies that merely sell registry software, we offer a full range of administration, management, and genetic curation services. What does this consolidated, patient-centric approach to patient registries mean? * Patients can more easily find registries and provide their valuable data (including locations of blood and tissue samples as well as reports of diagnoses, disease symptoms, treatment usage, and lifestyle activities) * Patients can be confident in the privacy of their de-identified data and the knowledge that PatientCrossroads does not sell patient data * Researchers and pharmaceutical companies have a larger, more easily accessible pool of potential patients for research studies and clinical trials targeting specific rare diseases * Pharmaceutical companies can collect post-market surveillance data in a more scalable and cost-effective manner * Rare disease advocacy and research foundations can more easily organize their global patient populations for inclusion in trials and studies | disease, treatment, clinical, patient, registry, drug discovery, clinical trial, research study, genetics, biorepository | is parent organization of: NF Registry | Rare disease | nlx_151889 | SCR_006279 | Patient Crossroads | 2026-08-03 09:32:57 | 3 | |||||||
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Congress of Neurological Surgeons University of Neurosurgery Resource Report Resource Website |
Congress of Neurological Surgeons University of Neurosurgery (RRID:SCR_006309) | University of Neurosurgery | continuing medical education, portal, topical portal, short course, data or information resource, training resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 19,2021.Designed with the neurosurgeon in mind, this portal contains everything you need to acquire new skills and techniques, including courses, an image database, and the world''s largest neurosurgical wiki reference - NeuroWiki. The new University of Neurosurgery includes: * More than 40 new online courses - in all neurosurgical subspecialties. * Archived webinars. * Lectures from the CNS Annual Meetings. * Neurosurgical image database. We are continuing to add new content - check back often. | surgery, neurology, neurosurgery, anatomy, cerebrovascular, epilepsy, core competency, clinical, non-clinical, pain, tumor, trauma, spine, socio-economic, peripheral nerve, pediatric, webinar |
has parent organization: Congress of Neurological Surgeons is parent organization of: Congress of Neurological Surgeons Online Image Database |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-06717 | SCR_006309 | CNS University, CNS University of Neurosurgery | 2026-08-03 09:33:03 | 0 | |||||||
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NINDS Common Data Elements Resource Report Resource Website 10+ mentions |
NINDS Common Data Elements (RRID:SCR_006577) | NINDS CDEs | narrative resource, data or information resource, database, standard specification | The purpose of the NINDS Common Data Elements (CDEs) Project is to standardize the collection of investigational data in order to facilitate comparison of results across studies and more effectively aggregate information into significant metadata results. The goal of the National Institute of Neurological Disorders and Stroke (NINDS) CDE Project specifically is to develop data standards for clinical research within the neurological community. Central to this Project is the creation of common definitions and data sets so that information (data) is consistently captured and recorded across studies. To harmonize data collected from clinical studies, the NINDS Office of Clinical Research is spearheading the effort to develop CDEs in neuroscience. This Web site outlines these data standards and provides accompanying tools to help investigators and research teams collect and record standardized clinical data. The Institute still encourages creativity and uniqueness by allowing investigators to independently identify and add their own critical variables. The CDEs have been identified through review of the documentation of numerous studies funded by NINDS, review of the literature and regulatory requirements, and review of other Institute''s common data efforts. Other data standards such as those of the Clinical Data Interchange Standards Consortium (CDISC), the Clinical Data Acquisition Standards Harmonization (CDASH) Initiative, ClinicalTrials.gov, the NINDS Genetics Repository, and the NIH Roadmap efforts have also been followed to ensure that the NINDS CDEs are comprehensive and as compatible as possible with those standards. CDEs now available: * General (CDEs that cross diseases) Updated Feb. 2011! * Congenital Muscular Dystrophy * Epilepsy (Updated Sept 2011) * Friedreich''s Ataxia * Parkinson''s Disease * Spinal Cord Injury * Stroke * Traumatic Brain Injury CDEs in development: * Amyotrophic Lateral Sclerosis (Public review Sept 15 through Nov 15) * Frontotemporal Dementia * Headache * Huntington''s Disease * Multiple Sclerosis * Neuromuscular Diseases ** Adult and pediatric working groups are being finalized and these groups will focus on: Duchenne Muscular Dystrophy, Facioscapulohumeral Muscular Dystrophy, Myasthenia Gravis, Myotonic Dystrophy, and Spinal Muscular Atrophy The following tools are available through this portal: * CDE Catalog - includes the universe of all CDEs. Users are able to search the full universe to isolate a subset of the CDEs (e.g., all stroke-specific CDEs, all pediatric epilepsy CDEs, etc.) and download details about those CDEs. * CRF Library - (a.k.a., Library of Case Report Form Modules and Guidelines) contains all the CRF Modules that have been created through the NINDS CDE Project as well as various guideline documents. Users are able to search the library to find CRF Modules and Guidelines of interest. * Form Builder - enables users to start the process of assembling a CRF or form by allowing them to choose the CDEs they would like to include on the form. This tool is intended to assist data managers and database developers to create data dictionaries for their study forms. | common data element, neuroscience, clinical, human, adult, pediatric, disease, disorder, data standard | has parent organization: National Institute of Neurological Disorders and Stroke | NINDS contract N01-NS-7-2372 | PMID:20583225 | nif-0000-10000 | SCR_006577 | National Institute of Neurological Disorders and Stroke CDEs, NINDS NINDS Common Data Elements: Harmonizing information. Streamlining research. | 2026-08-03 09:33:04 | 27 | ||||||
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RxNorm Resource Report Resource Website 500+ mentions |
RxNorm (RRID:SCR_006645) | RxNorm | controlled vocabulary, data or information resource, ontology | Ontology that provides a normalized naming system for generic and branded drugs and a tool for supporting semantic interoperation between drug terminologies and pharmacy knowledge base systems. It contains the names of prescription and many over-the-counter drugs available in the United States and links its names to many of the drug vocabularies commonly used in pharmacy management and drug interaction software. It can mediate messages between systems not using the same software and vocabulary. * RxNorm Download Files - contain data consistent with the 2013AB UMLS Metathesaurus Release Files. * RxNorm API - web service for accessing the current RxNorm data set. * RxNorm Browser (RxNav) - a browser for several drug information sources, including RxNorm, RxTerms and National Drug File - Reference Terminology (NDF-RT) . * Current Prescribable Content - subset of currently prescribable drugs found in RxNorm. * RxTerms Drug Interface Terminology - a drug interface terminology derived from RxNorm for prescription writing or medication history recording | umls, drug, pharmacy, clinical, drug pack, medicine, unique identifier, prescribable drug, web service, metathesaurus, generic drug, branded drug, data set, web service, database |
is listed by: BioPortal has parent organization: National Library of Medicine |
PMID:22426081 | Account required, (UMLS Terminology Services (UTS)) | nif-0000-02575 | SCR_006645 | Rx Norm | 2026-08-03 09:33:08 | 612 | ||||||
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Influenza Research Database (IRD) Resource Report Resource Website 10+ mentions |
Influenza Research Database (IRD) (RRID:SCR_006641) | IRD | data repository, production service resource, data analysis service, service resource, database, storage service resource, analysis service resource, data or information resource | The Influenza Research Database (IRD) serves as a public repository and analysis platform for flu sequence, experiment, surveillance and related data. | avian, clinical, genomic, host, influenza, isolate, mammalian, nonhuman, phenotypic, preventive, proteomic, repository, strain, epitope, surveillance, treatment, virus, protein sequence, immune, 3d protein structure, align, blast, short peptide, flu protein, sequence variation, snp, phylogenetic tree, human, 3d spacial image, image, clinical data, clinical, genomic, proteomic, phenotype |
is recommended by: NIDDK Information Network (dkNET) is listed by: DataCite is listed by: re3data.org is listed by: FAIRsharing is related to: Los Alamos National Laboratory is related to: University of California at Davis; California; USA is related to: Sage Analytica is related to: J. Craig Venter Institute has parent organization: University of Texas Southwestern Medical Center; Texas; USA has parent organization: Los Alamos National Laboratory has parent organization: Sage Analytica |
Influenza virus, Influenza | NIAID | PMID:17965094 | Acknowledgement requested, The community can contribute to this resource | DOI:10.25504/FAIRsharing.ws7cgw, nif-0000-21222, DOI:10.35094, DOI:10.17616/R3S634, r3d100011558 | https://www.fludb.org/, https://doi.org/10.17616/R3S634, https://doi.org/10.17616/r3s634, https://doi.org/10.35094/, https://dx.doi.org/10.35094/, https://fairsharing.org/10.25504/FAIRsharing.ws7cgw, https://doi.org/10.17616/R3S634 | http://www.fludb.org/brc/home.do?decorator=influenza | SCR_006641 | , Influenza Research Database, IRD | 2026-08-03 09:33:06 | 28 | ||
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Autoimmunity Centers of Excellence Resource Report Resource Website |
Autoimmunity Centers of Excellence (RRID:SCR_006510) | ACE | portal, disease-related portal, resource, topical portal, research forum portal, data or information resource | Nine centers that conduct clinical trials and basic research on new immune-based therapies for autoimmune diseases. This program enhances interactions between scientists and clinicians in order to accelerate the translation of research findings into medical applications. By promoting better coordination and communication, and enabling limited resources to be pooled, ACEs is one of NIAID''''s primary vehicles for both expanding our knowledge and improving our ability to effectively prevent and treat autoimmune diseases. This coordinated approach incorporates key recommendations of the NIH Autoimmune Diseases Research Plan and will ensure progress in identifying new and highly effective therapies for autoimmune diseases. ACEs is advancing the search for effective treatments through: * Diverse Autoimmunity Expertise Medical researchers at ACEs include rheumatologists, neurologists, gastroenterologists, and endocrinologists who are among the elite in their respective fields. * Strong Mechanistic Foundation ACEs augment each clinical trial with extensive basic studies designed to enhance understanding of the mechanisms responsible for tolerance initiation, maintenance, or loss, including the role of cytokines, regulatory T cells, and accessory cells, to name a few. * Streamlined Patient Recruitment The cooperative nature of ACEs helps scientists recruit patients from distinct geographical areas. The rigorous clinical and basic science approach of ACEs helps maintain a high level of treatment and analysis, enabling informative comparisons between patient groups. | immune system, infection, clinical trial, clinical, basic research |
is listed by: NIDDK Information Network (dkNET) is listed by: NIDDK Research Resources |
Type 1 diabetes, Diabetes, Autoimmune disease, Systematic lupus erythematosus, Rheumatoid arthritis, Sjogren's syndrome, Multiple sclerosis, Chronic inflammatory bowel disease, Pemphigus vulgaris, Scleroderma | NIAID ; NIDDK ; NIH Office of Research on Womens Health |
nlx_152751 | SCR_006510 | 2026-08-03 09:33:09 | 0 | |||||||
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NIDDK Central Repository Resource Report Resource Website 50+ mentions |
NIDDK Central Repository (RRID:SCR_006542) | CDR, NIDDKCDR | data repository, data or information resource, database, biospecimen repository, material storage repository, storage service resource, service resource | NIDDK Central Repositories are two separate contract funded components that work together to store data and samples from significant, NIDDK funded studies. First component is Biorepository that gathers, stores, and distributes biological samples from studies. Biorepository works with investigators in new and ongoing studies as realtime storage facility for archival samples.Second component is Data Repository that gathers, stores and distributes incremental or finished datasets from NIDDK funded studies Data Repository helps active data coordinating centers prepare databases and incremental datasets for archiving and for carrying out restricted queries of stored databases. Data Repository serves as Data Coordinating Center and website manager for NIDDK Central Repositories website. | clinical supply resource, data, clinical, sample sharing, genotyping, genotype, phenotype, genetic analysis, data sharing, genetics, serum, plasma, stool, urine, dna, red blood cell, buffy coat, tissue, immortalized cell line, cell line, data set, digestive organ, kidney, diabetes, kidney disease, digestive disease, genome-wide association study, sequencing, FASEB list |
uses: DataCite is used by: NIDDK Information Network (dkNET) is used by: NIF Data Federation is used by: NIH Heal Project is recommended by: National Library of Medicine is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases lists: HEALTHY study lists: Nonalcoholic Steatohepatitis Clinical Research Network lists: HALT-C Trial lists: Type 1 Diabetes Genetics Consortium lists: TEDDY lists: Type 1 Diabetes TrialNet lists: Rare and Atypical Diabetes Network lists: Diabetes Prevention Program lists: Diabetes Prevention Program Outcomes Study lists: Restoring Insulin Secretion Consortium (RISE) lists: Epidemiology of Diabetes Interventions and Complications lists: Diabetes Control and Complications Trial lists: Treatment Options for type 2 Diabetes in Adolescents and Youth is listed by: One Mind Biospecimen Bank Listing is listed by: re3data.org is listed by: Biospecimens/Biorepositories: Rare Disease-HUB (RD-HUB) is listed by: NIDDK Information Network (dkNET) is related to: NCBI database of Genotypes and Phenotypes (dbGap) is related to: Peginterferon and Ribavirin for Pediatric Patients with Chronic Hepatitis C is related to: Chronic Renal Insufficiency Cohort Study has parent organization: RTI International |
NIDDK | PMID:23396299 PMID:21959867 PMID:16595012 |
Restricted | nlx_152673, r3d100010377 | https://doi.org/10.17616/R3WP48 | https://www.niddkrepository.org, | SCR_006542 | NIDDK Central Repository, National Institute of Diabetes and Digestive and Kidney Diseases Central Repository, NIDDKCentral Repositories | 2026-08-03 09:33:06 | 85 | |||
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CTE and Post-traumatic Neurodegeneration: Neuropathology and Ex Vivo Imaging Resource Report Resource Website 1+ mentions |
CTE and Post-traumatic Neurodegeneration: Neuropathology and Ex Vivo Imaging (RRID:SCR_006543) | CTE and Post-traumatic Neurodegeneration: Neuropathology and Ex Vivo Imaging | portal, disease-related portal, topical portal, research forum portal, data or information resource | Initiative to assemble a multicenter team of expert neuroscientists to evaluate the late effects of Traumatic brain injury (TBI), including single and repetitive TBI of varying severity, and Chronic Traumatic Encephalopathy (CTE), using histological examination of postmortem bio specimens and neuroimaging tools as a foundation to develop in vivo diagnostics. As a first aim, this proposal will bring together a team of 5 accomplished neuropathologists in neurodegenerative disease to establish consensus criteria for the post-mortem diagnosis of CTE. This team will also define the stages of CTE pathology, the features that differentiate CTE from other neurodegenerations and the effects of substance abuse, and the characteristics of posttraumatic neurodegeneration after single TBI. As a second aim, this proposal will establish a national bio specimen and data bank for TBI (Understanding Neurological Injury and Traumatic Encephalopathy (UNITE) bio bank) by developing a nationwide brain donor registry and hotline to acquire high quality bio specimens and data. The UNITE bank will use strictly standardized protocols and a web-based interface to ensure that tissue and data are readily available to qualified investigators. Comprehensive retrospective clinical data including clinical symptoms, brain trauma and substance abuse history, and medical records (including common data elements) will be entered into a secure database. Behavioral/ mood dysfunction, cognitive changes, substance abuse and traumatic exposure will be correlated with quantitative assessment of the multifocal tauopathy, Ass deposition and axonal injury. As a third aim, neuroimaging signatures of the neuropathology will be determined in post-mortem tissue using high spatial resolution diffusion tensor imaging (DTI) and autoradiography using a highly selective PET ligand for tau. Quantitative assessment of axonal injury, tau, and Ass will be correlated with ex vivo DTI abnormalities and tau ligand autoradiography. Pilot neuroimaging studies of individuals at high risk for the development of CTE will also be conducted in the final 2 years of the proposal. This proposal will determine the clinical and neuroimaging correlates of CTE and posttraumatic neurodegeneration and create the groundwork for establishing their incidence and prevalence. This study will have a tremendous impact on public health of millions of Americans and greatly increase our understanding of the latent effects of brain trauma. | brain bank, biospecimen repository, neuroimaging, brain, neuropathology, dti, pet, clinical, cognitive decline, dementia, axonal injury, aggregated protein, neurodegeneration, post-mortem, incidence, prevalence, risk factor, clinical course, treatment, diagnosis, biomarker | has parent organization: Boston University School of Medicine; Massachusetts; USA | Traumatic brain injury, Chronic traumatic encephalopathy | nlx_156786 | SCR_006543 | Chronic Traumatic Encephalopathy and Post-traumatic Neurodegeneration: Neuropathology and Ex Vivo Imaging | 2026-08-03 09:33:03 | 1 | |||||||
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Leiden Open Variation Database Resource Report Resource Website 100+ mentions |
Leiden Open Variation Database (RRID:SCR_006566) | LOVD | data storage software, data repository, data or information resource, database, software application, data processing software, storage service resource, service resource, software resource | Freely available tool for Gene-centered collection and display of DNA variations. It also provides patient-centered data storage and storage of Next Generation Sequencing (NGS) data, even of variants outside of genes. Please note that LOVD provides a system for storage of information on genes and allelic variants. To obtain information about any genes or variants, do not download the LOVD package. This information should be obtained from the respective databases, http://www.lovd.nl/2.0/index_list.php In total: 2,507,027 variants (2,208,937 unique) in 170,935 individuals in 62619 genes in 88 LOVD installations. (Aug. 2013) LOVD 3.0 shared installation, http://databases.lovd.nl/shared/genes To maintain a high quality of the data stored, LOVD connects with various resources, like HGNC, NCBI, EBI and Mutalyzer. You can download LOVD in ZIP and GZIPped TARball formats. | genetic variation, genomic variant, gene, transcript, disease, next generation sequencing, dna variation, variant, clinical, screening, locus, phenotype, sequence variation, allelic variant, data sharing, FASEB list |
is listed by: OMICtools has parent organization: Leiden University; Leiden; Netherlands |
European Union FP7 GEN2PHEN 200754 | PMID:21520333 PMID:15977173 |
The community can contribute to this resource, Clearance to contribute required, GNU General Public License, Acknowledgement requested | nif-0000-02998, OMICS_00275, r3d100011905 | https://doi.org/10.17616/R3993T | SCR_006566 | Leiden Open Variation Database (LOVD) | 2026-08-03 09:33:04 | 238 | ||||
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Federal Interagency Traumatic Brain Injury Research Informatics System Resource Report Resource Website 50+ mentions |
Federal Interagency Traumatic Brain Injury Research Informatics System (RRID:SCR_006856) | FITBIR | data repository, portal, standard specification, data or information resource, database, narrative resource, topical portal, storage service resource, service resource | Platform for Traumatic Brain Injury relevant data. System was developed to share data across entire TBI research field and to facilitate collaboration between laboratories and interconnectivity between informatics platforms. FITBIR implements interagency Common Data Elements for TBI research and provides tools and resources to extend data dictionary. Established submission strategy to ensure high quality and to provide maximum benefit to investigators. Qualified researchers can request access to data stored in FITBIR and/or data stored at federated repositories. | Traumatic, brain, injury, platform, common, data, element, medical, imaging, clinical, assessment, environment, behavior, brain, magnetic, resonance |
is recommended by: National Library of Medicine is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: NIH Data Sharing Repositories is related to: NIH Data Sharing Repositories has parent organization: Center for Information Technology |
Traumatic Brain Injury | NINDS ; U.S. Army Medical Research and Material Command ; Center for Information Technology |
Restricted | nlx_151755, r3d100012837 | https://doi.org/10.17616/R31NJMED | SCR_006856 | Federal Interagency Traumatic Brain Injury Research (FITBIR) Informatics System, FITBIR Informatics System | 2026-08-03 09:33:11 | 57 |
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