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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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OMIM Resource Report Resource Website 5000+ mentions |
OMIM (RRID:SCR_006437) | OMIM, MIM | database, catalog, data or information resource | 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 | 2026-08-04 09:41:35 | 5456 | ||||
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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 | portal, topical portal, storage service resource, narrative resource, standard specification, data repository, service resource, database, data or information 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 | 2026-08-04 09:41:43 | 57 | ||||
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Nonhuman Primate Transplantation Tolerance Cooperative Study Group Resource Report Resource Website |
Nonhuman Primate Transplantation Tolerance Cooperative Study Group (RRID:SCR_006847) | NHPCSG | resource, portal, topical portal, research forum portal, disease-related portal, data or information resource | Cooperative program for research on nonhuman primate models of kidney, islet, heart, and lung transplantation evaluating the safety and efficacy of existing and new treatment regimens that promote the immune system''''s acceptance of a transplant and to understand why the immune system either rejects or does not reject a transplant. This program bridges the critical gap between small-animal research and human clinical trials. The program supports research into the immunological mechanisms of tolerance induction and development of surrogate markers for the induction, maintenance, and loss of tolerance. | transplantation, clinical, kidney, islet, tolerance, heart, lung, treatment, immune system, tolerance induction | is related to: NIDDK Information Network (dkNET) | Kidney transplantation, Islet transplantation, Heart transplantation, Lung transplantation | NIDDK ; NIAID |
nlx_152728 | http://www.niddk.nih.gov/fund/diabetesspecialfunds/consortia/NHP.pdf | SCR_006847 | Non-human Primate Transplantation Tolerance Cooperative Study Group | 2026-08-04 09:41:41 | 0 | |||||
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RxNorm Resource Report Resource Website 500+ mentions |
RxNorm (RRID:SCR_006645) | RxNorm | ontology, data or information resource, controlled vocabulary | 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 | 2026-08-04 09:41:41 | 612 | ||||||
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Influenza Research Database (IRD) Resource Report Resource Website 10+ mentions |
Influenza Research Database (IRD) (RRID:SCR_006641) | IRD | data analysis service, analysis service resource, storage service resource, data repository, production service resource, service resource, database, 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 | 2026-08-04 09:41:38 | 28 | ||
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Diabetes in America Resource Report Resource Website |
Diabetes in America (RRID:SCR_006754) | Diabetes in America | resource, narrative resource, data or information resource, book | A compilation and assessment of epidemiologic, public health, and clinical data on diabetes and its complications in the United States. Published by the National Diabetes Data Group of the National Institute of Diabetes and Digestive and Kidney Diseases, the book contains 36 chapters organized in five areas: * the descriptive epidemiology of diabetes in the United States based on national surveys and community-based studies, including prevalence, incidence, sociodemographic and metabolic characteristics, risk factors for developing diabetes, and mortality * the myriad complications that affect patients with diabetes * characteristics of therapy and medical care for diabetes * economic aspects, including health insurance and health care costs * diabetes in special populations, including African Americans, Hispanics, Asian and Pacific Islanders, Native Americans, and pregnant women. Diabetes in America, 2nd Edition, has been designed to serve as a reliable scientific resource for assessing the scope and impact of diabetes and its complications, determining health policy and priorities in diabetes, and identifying areas of need in research. The intended audience includes health policy makers at the local and Federal levels who need a sound quantitative base of knowledge to use in decision making; clinicians who need to know the probability that their patients will develop diabetes and the prognosis of the disease for complications and premature mortality; persons with diabetes and their families who need sound information on which to make decisions about their life with diabetes; and the research community which needs to identify areas where important scientific knowledge is lacking. | epidemiology, prevalence, incidence, sociodemographic, metabolic, risk factor, mortality, complication, therapy, medical care, economic, health insurance, health care cost, african american, hispanic, asian, pacific islander, native american, pregnant, clinical, pdf, medical care |
is related to: NIDDK Information Network (dkNET) has parent organization: National Diabetes Information Clearinghouse |
Diabetes | NIDDK | Public, Not copyrighted. The Clearinghouse encourages users of this publication to duplicate and distribute as many copies as desired. | nlx_152695 | SCR_006754 | Diabetes in America 2nd Edition | 2026-08-04 09:41:41 | 0 | |||||
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Chemical Effects in Biological Systems (CEBS) Resource Report Resource Website 10+ mentions |
Chemical Effects in Biological Systems (CEBS) (RRID:SCR_006778) | CEBS | storage service resource, data repository, service resource, database, data or information resource | Repository for toxicogenomics data, including study design and timeline, clinical chemistry and histopathology findings and microarray and proteomics data. Data derived from studies of chemicals and of genetic alterations, and is compatible with clinical and environmental studies. Data relating to environmental health, pharmacology, and toxicology. It is not necessary to have microarray data, but study design and phenotypic anchoring data are required.CEBS contains raw microarray data collected in accordance with MIAME guidelines and provides tools for data selection, pre-processing and analysis resulting in annotated lists of genes of interest. Biomedical Investigation Database is another component of CEBS system. used to load and curate study data prior to export to CEBS, in addition to capturing and displaying novel data types such as PCR data, or additional fields of interest, including those defined by the HESI Toxicogenomics Committee. BID has been shared with Health Canada and the US Environmental Protection Agency. | caenorhabditis elegans, chemical study, microarray, genetic alteration, toxicogenomics, environmental health, study design, timeline, clinical chemistry, histopathology, proteomics, chemical, clinical, microarray hybridization, gel image, phenotype, pharmacology, toxicology |
is recommended by: National Library of Medicine has parent organization: National Institute of Environmental Health Sciences |
NIGMS ; NIEHS |
PMID:17962311 | Free, Freely available | nif-0000-02649, r3d100010314 | https://doi.org/10.17616/R3W02M | SCR_006778 | CEBS, Chemical Effects in Biological Systems (CEBS), Chemical Effects in Biological Systems | 2026-08-04 09:41:42 | 19 | ||||
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Human Imaging Database Resource Report Resource Website 1+ mentions |
Human Imaging Database (RRID:SCR_006126) | HID | source code, data management software, image repository, storage service resource, software resource, software application, data repository, service resource, database, data or information resource |
THIS RESOURCE IS NO LONGER IN SERVICE. Documented October 5, 2017. Database management system developed to handle the increasingly large and diverse datasets collected as part of the MBIRN and FBIRN collaboratories and throughout clinical imaging communities at large. The HID can be extended to contain relevant information concerning experimental subjects, assessments of subjects, the experimental data collected, the experimental protocols, and other metadata normally included with experiments. |
imaging, fmri, clinical, behavior, biomedical imaging data, mri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Cognitive Paradigm Ontology is related to: XCEDE Schema has parent organization: Biomedical Informatics Research Network |
Schizophrenia | PMID:19826494 PMID:18348946 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00269 | http://www.nitrc.org/projects/hid | http://fbirnbdr.nbirn.net:8080/BDR/ | SCR_006126 | fBIRN Data Repository, Human Imaging Database (HID) System, Function BIRN Data Repository | 2026-08-04 09:41:31 | 3 | |||
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ChiCTR - Chinese Clinical Trial Registry Resource Report Resource Website 10+ mentions |
ChiCTR - Chinese Clinical Trial Registry (RRID:SCR_006037) | ChiCTR | storage service resource, registry, data repository, service resource, clinical trial, database, data or information resource | National clinical trial registry by Ministry of Health of China to join World Health Organization International Clinical Trial Registration Platform (WHO ICTRP Primary Registry), and the approved Primary Registry of WHO ICTRP. It registers both Chinese and global clinical trials, receives data from Partner Registers certified by the WHO ICTRP, and submits data to the WHO ICTRP Central Repository for global search. Moreover, based upon the talent and technical platform, consisting of Chinese Evidence-based Medicine Centre of Ministry of Health of China, Virtual Research Centre of Evidence-Based Medicine of Ministry of Education of China, Chinese Cochrane Centre, UK Cochrane Centre and International Clinical Epidemiology Network Resource and Training Centre in West China Hospital, Sichuan University (INCLEN CERTC), ChiCTR is responsible for providing consultations on trial design, central randomization service, guidance on the writing of clinical trial reports and relevant training. WHO takes the lead in establishing the global clinical trial registration system, which is agreed upon by governments from all over the world. There are both ethical and scientific reasons for clinical trial registration. Trial participants expect that their contributions to biomedical knowledge will be used to improve health care for everyone. Open access to information about ongoing and completed trials meets the ethical duty to trial participants, and promotes greater trust and public confidence in clinical research. Furthermore, trial registration ensures that the results of all trials can be tracked down and should help to reduce unnecessary duplication of research through greater awareness of existing trials and results. The mission of ChiCTR is to Unite clinicians, clinical epidemiologists, biostatisticians, epidemiologists and health care managers both at home and abroad, to manage clinical trials in a strict and scientific manner, and to promote their quality in China, so as to provide reliable evidences from clinical trials for health care workers, consumers and medical policy decision makers, and also to use medical resources more effectively to provide better service for Chinese people and all human beings. Any trial performed in human beings is considered as a clinical trial, and should be registered before its implementation. All the registered clinical trials will be granted a unique registration number by WHO ICTRP. | clinical trial, registry, registration, clinical, trial, china |
is related to: WHO International Clinical Trials Registry Platform has parent organization: Sichuan University; Sichuan; China |
nlx_151504 | SCR_006037 | Chinese Clinical Trial Registry | 2026-08-04 09:41:29 | 35 | ||||||||
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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, funding resource, topical portal, disease-related 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 | 2026-08-04 09:41:32 | 68 | |||||||
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BioMedBridges Resource Report Resource Website 1+ mentions |
BioMedBridges (RRID:SCR_006179) | BioMedBridges | portal, organization portal, data or information resource, consortium | Consortium of 12 Biomedical sciences research infrastructure (BMS RI) partners to develop a shared e-infrastructure to allow interoperability between data and services in the biological, medical, translational and clinical domains (providing a complex knowledge environment comprising standards, ontologies, data and services) and thus strengthen biomedical resources in Europe. The BMS RIs are on the roadmap of the European Strategy Forum on Research Infrastructures (ESFRI). Connecting several European research infrastructures brings a diversity of ethical, legal and security concerns including data security requirements for participating e-Infrastructures that are storing or processing patient-related data (or biosamples): EATRIS, ECRIN, BBMRI, EuroBioImaging and EMBL-EBI. In addition, INSTRUCT is interested in secure sample transport and in intellectual property rights; Infrafrontier stores high-throughput data from mice. BBMRI with its focus on the availability of biomaterials is currently emphasizing aspects like k-anonymity and metadata management for its data. Sharing of imaging data by Euro-BioImaging poses challenges with respect to anonymisation and intellectual property. Therefore, an ethical, regulatory and security framework for international data sharing that covers these diverse areas and different types of data (e.g. clinical trials data, mouse data, and human genotype and DNA sequence data) is of crucial importance. The outcomes will lead to real and sustained improvement in the services the biomedical sciences research infrastructures offer to the research community. Data curation and sample description will be improved by the adoption of best practices and agreed standards. Many improvements will emerge from new interactions between RIs created by data linkage and networking. Ensuring access to relevant information for all life science researchers across all BMS RIs will enable scientists to conduct and share cutting-edge research. | clinical, biomedical, infrastructure, technology, biology, medicine, translational, data sharing, biobank, genetic, stem cell, clinical trial, imaging, genotype, dna sequence, standard specification, interoperability |
is listed by: Consortia-pedia is related to: Biobanking and Biomolecular Resources Research Infrastructure (BBMRI) has parent organization: European Bioinformatics Institute |
European Union FP7 Capacities Specific Programme 284209 | nlx_151726 | SCR_006179 | Building data bridges between biological and medical infrastructure in Europe (BioMedBridges), Building data bridges between biological and medical infrastructures in Europe, Building data bridges from biology to medicine in Europe | 2026-08-04 09:41:31 | 6 | |||||||
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BioGrid Australia Resource Report Resource Website 100+ mentions |
BioGrid Australia (RRID:SCR_006334) | BioGrid Australia | data analysis service, analysis service resource, production service resource, service resource, database, 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 | 2026-08-04 09:41:35 | 294 | |||||
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Deciphering Developmental Disorders Resource Report Resource Website 10+ mentions |
Deciphering Developmental Disorders (RRID:SCR_006171) | DDD | portal, topical portal, storage service resource, disease-related portal, research forum portal, biospecimen repository, service resource, material storage repository, data or information resource | The Deciphering Developmental Disorders (DDD) study aims to find out if using new genetic technologies can help doctors understand why patients get developmental disorders. To do this we have brought together doctors in the 23 NHS Regional Genetics Services throughout the UK and scientists at the Wellcome Trust Sanger Institute, a charitably funded research institute which played a world-leading role in sequencing (reading) the human genome. The DDD study involves experts in clinical, molecular and statistical genetics, as well as ethics and social science. It has a Scientific Advisory Board consisting of scientists, doctors, a lawyer and patient representative, and has received National ethical approval in the UK. Over the next few years, we are aiming to collect DNA and clinical information from 12,000 undiagnosed children in the UK with developmental disorders and their parents. The results of the DDD study will provide a unique, online catalogue of genetic changes linked to clinical features that will enable clinicians to diagnose developmental disorders. Furthermore, the study will enable the design of more efficient and cheaper diagnostic assays for relevant genetic testing to be offered to all such patients in the UK and so transform clinical practice for children with developmental disorders. Over time, the work will also improve understanding of how genetic changes cause developmental disorders and why the severity of the disease varies in individuals. The Sanger Institute will contribute to the DDD study by performing genetic analysis of DNA samples from patients with developmental disorders, and their parents, recruited into the study through the Regional Genetics Services. Using microarray technology and the latest DNA sequencing methods, research teams will probe genetic information to identify mutations (DNA errors or rearrangements) and establish if these mutations play a role in the developmental disorders observed in patients. The DDD initiative grew out of the groundbreaking DECIPHER database, a global partnership of clinical genetics centres set up in 2004, which allows researchers and clinicians to share clinical and genomic data from patients worldwide. The DDD study aims to transform the power of DECIPHER as a diagnostic tool for use by clinicians. As well as improving patient care, the DDD team will empower researchers in the field by making the data generated securely available to other research teams around the world. By assembling a solid resource of high-quality, high-resolution and consistent genomic data, the leaders of the DDD study hope to extend the reach of DECIPHER across a broader spectrum of disorders than is currently possible. | microarray, sequencing, child, genome, chromosome, dna sequencing, ethics, interview, dna, saliva, clinical, genetics, gene, diagnosis, phenotype, clinical data, FASEB list |
is related to: DECIPHER has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Developmental disorder, Genetic disorder, Parent, Neurodevelopmental disorder, Congenital anomaly, Abnormal growth, Dysmorphic feature, Unusual behavioral phenotype | Wellcome Trust ; Health Innovation Challenge Fund |
PMID:21679367 | nlx_151673 | SCR_006171 | Deciphering Developmental Disorders (DDD) | 2026-08-04 09:41:32 | 42 | |||||
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XNAT Central Resource Report Resource Website 10+ mentions |
XNAT Central (RRID:SCR_006235) | XNAT Central | image repository, storage service resource, data repository, service resource, database, data or information 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 | 2026-08-04 09:41:32 | 40 | ||||||
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Ontology for Biomedical Investigations Resource Report Resource Website 10+ mentions |
Ontology for Biomedical Investigations (RRID:SCR_006266) | OBI | ontology, data or information resource, controlled vocabulary | 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 | 2026-08-04 09:41:33 | 19 | |||||
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FURTHeR Resource Report Resource Website 50+ mentions |
FURTHeR (RRID:SCR_006383) | FURTHeR | portal, storage service resource, community building portal, data repository, service resource, database, data or information 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 | 2026-08-04 09:41:35 | 77 | ||||
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ePRISM Resource Report Resource Website 1+ mentions |
ePRISM (RRID:SCR_006386) | ePRISM | software application, software resource, data management software | 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 | 2026-08-04 09:41:35 | 3 | ||||||||
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cTAKES Resource Report Resource Website 10+ mentions |
cTAKES (RRID:SCR_006379) | cTAKES | software application, software resource, source code, text-mining software | 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 | 2026-08-04 09:41:36 | 42 | ||||
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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 | software resource, software application, mobile app, database, data or information 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 | 2026-08-04 09:41:34 | 2 | ||||||
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PatientCrossroads Resource Report Resource Website 1+ mentions |
PatientCrossroads (RRID:SCR_006279) | PatientCrossroads | portal, topical portal, people resource, patient registry, 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 | 2026-08-04 09:41:33 | 3 |
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