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http://ncit.nci.nih.gov/

A reference terminology and core biomedical ontology for NCI that covers approximately 100,000 key biomedical concepts with terms, codes, definitions, and more than 200,000 inter-concept relationships. It is the reference terminology for NCI, NCI Metathesaurus and NCI informatics infrastructure covering vocabulary for clinical care, translational and basic research, and public information and administrative activities. It includes broad coverage of the cancer domain, including cancer related diseases, findings and abnormalities; anatomy; agents, drugs and chemicals; genes and gene products and so on. In certain areas, like cancer diseases and combination chemotherapies, it provides the most granular and consistent terminology available. It combines terminology from numerous cancer research related domains, and provides a way to integrate or link these kinds of information together through semantic relationships. NCIt features: * Stable, unique codes for biomedical concepts; * Preferred terms, synonyms, definitions, research codes, external source codes, and other information; * Links to NCI Metathesaurus and other information sources; * Over 200,000 cross-links between concepts, providing formal logic-based definition of many concepts; * Extensive content integrated from NCI and other partners, much available as separate NCIt subsets * Updated frequently by a team of subject matter experts. NCIt is a widely recognized standard for biomedical coding and reference, used by a broad variety of public and private partners both nationally and internationally including the Clinical Data Interchange Standards Consortium Terminology (CDISC), the U.S. Food and Drug Administration (FDA), the Federal Medication Terminologies (FMT), and the National Council for Prescription Drug Programs (NCPDP).

Proper citation: NCI Thesaurus (RRID:SCR_003563) Copy   

•   Source: SciCrunch Registry

http://www.themmrf.org/research-programs/commpass-study/

A personalized medicine initiative to discover biomarkers that can better define the biological basis of multiple myeloma to help stratify patients. This effort hopes to obtain samples from approximately 1,000 multiple myeloma patients and follow them over time to identify how a patient's genetic profile is related to clinical progression and treatment response. As a partnership between 17 academic centers, 5 pharmaceuticals and the Department of Veterans Affairs, the goal of this eight year study is to create a database that can accelerate future clinical trials and personalized treatment strategies. MMRF's CoMMpass Study has the following goals: * Create a guide to which treatments work best for specific patient subgroups. * Share data with researchers to accelerate drug development for specific subtypes of multiple myeloma patients. In order to facilitate discoveries and development related to targeted therapies, the comprehensive data from CoMMpass is placed in an open-access research portal. The data will be part of the Multiple Myeloma Research Foundation's (MMRF) Personalized Medicine Platform combines CoMMpass data with those collected from MMRF's Genomics Initiative. It is hoped that the longitudinal data, combined with the annotated bio-specimens will help provide insights that can accelerate personalized therapies.

Proper citation: MMRF CoMMpass Study (RRID:SCR_003721) Copy   

•   Source: SciCrunch Registry

http://www.epilepsygenetics.eu/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 16,2023. Group of clinical care and epilepsy research centers who are committed to improving the lives of people with epilepsy through an understanding of the genetics of epilepsy. The consoritum was in an effort to speed discovery to epilepsy genetics by pooling the resources of several research centres., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: EPIGEN (RRID:SCR_000093) Copy   

•   Source: SciCrunch Registry

http://www.aetionomy.eu/

Consortium founded to establish mechanism-based taxonomies for Alzheimer's and Parkinson's disease and other neurodegenerative disorders (NDD), with the goal of facilitating development of more effective and targeted treatments. To do this, the consortium collects and analyzes data to: * Create new ways to combine underutilized data currently available in the literature, public databases, and from private companies * Determine how to dynamically organize and structure different types of knowledge about NDD * Determine how to apply this knowledge to construct new patient group classification * Identify correlations between disease features at molecular, tissue or organ-specific, and clinical levels * Identify sub-groups of patients based on the molecular cause of their disease, as opposed to the nature and location of their symptoms * Deliver data, tools, and recommendations for the biomedical community in the treatment of NDD A mechanism-based taxonomy is hoped to advance the: # Description and organization of the indication-specific data # Linking of data to disease models, based on causal and correlative relationships The expected outcome of AETIONOMY is a new NDD taxonomy system that distinguishes mixed pathologies, allowing for new features or classes to be added into the taxonomy, all with the goal of aiding drug and biomarker discovery.

Proper citation: AETIONOMY (RRID:SCR_000232) Copy   

•   Source: SciCrunch Registry

http://www.cdisc.org/

A global, open, multidisciplinary, non-profit organization that has established standards to support the acquisition, exchange, submission and archive of clinical research data and metadata. Its mission is to develop and support global, platform-independent data standards that enable information system interoperability to improve medical research and related areas of healthcare. CDISC standards are vendor-neutral, platform-independent and freely available via the CDISC website.

Proper citation: Clinical Data Interchange Standards Consortium (RRID:SCR_000219) Copy   

•   Source: SciCrunch Registry

http://knightadrc.wustl.edu/

The Charles F. and Joanne Knight Alzheimer Disease Research Center (Knight ADRC) supports researchers and our surrounding community in their pursuit of answers that will lead to improved diagnosis and care for persons with Alzheimer disease (AD). The Center is committed to the long-term goal of finding a way to effectively treat and prevent AD. The Knight ADRC facilitates advanced research on the clinical, genetic, neuropathological, neuroanatomical, biomedical, psychosocial, and neuropsychological aspects of Alzheimer disease, as well as other related brain disorders.

Proper citation: Washington University School of Medicine Knight Alzheimers Disease Research Center (RRID:SCR_000210) Copy   

•   Source: SciCrunch Registry

https://www.qcif.edu.au/

Provides digital infrastructure capabilities for research and innovation across Queensland and Australia. Provides services, infrastructure and support for computation and data driven collaborative research and its application in industry. Members are six Queensland universities – The University of Queensland, Queensland University of Technology, Griffith University, James Cook University, CQUniversity, and the University of Southern Queensland. The University of the Sunshine Coast is an associate member. Member employees provide support and development services.

Proper citation: Queensland Cyber Infrastructure Foundation Ltd (RRID:SCR_000208) Copy   

•   Source: SciCrunch Registry

http://cbrain.mcgill.ca/loris

A modular and extensible web-based data management system that integrates all aspects of a multi-center study, from heterogeneous data acquisition to storage, processing and ultimately dissemination, within a streamlined platform. Through a standard web browser, users are able to perform a wide variety of tasks, such as data entry, 3D image visualization and data querying. LORIS also stores data independently from any image processing pipeline, such that data can be processed by external image analysis software tools. LORIS provides a secure web-based and database-driven infrastructure to automate the flow of clinical data for complex multi-site neuroimaging trials and studies providing researchers with the ability to easily store, link, and access significant quantities of both scalar (clinical, psychological, genomic) and multi-dimensional (imaging) data. LORIS can collect behavioral, neurological, and imaging data, including anatomical and functional 3D/4D MRI models, atlases and maps. LORIS also functions as a project monitoring and auditing platform to oversee data acquisition across multiple study sites. Confidentiality during multi-site data sharing is provided by the Subject Profile Management System, which can perform automatic removal of confidential personal information and multiple real-time quality control checks. Additionally, web interactions with the LORIS portal take place over an encrypted channel via SSL, ensuring data security. Additional features such as Double Data Entry and Statistics and Data Query GUI are included.

Proper citation: LORIS - Longitudinal Online Research and Imaging System (RRID:SCR_000590) Copy   

•   Source: SciCrunch Registry

http://www.du.edu/psychology/

The department of psychology at Denver University that offers degrees at the undergraduate, graduate and doctoral level. The doctoral programs have specializations such as Affect/Social, Child Clinical, Cognitive, and Developmental.

Proper citation: Denver University Department of Psychology (RRID:SCR_000474) Copy   

•   Source: SciCrunch Registry

http://www.ecnp.eu/

A pan-European scientific association to encourage research across the neurosciences and to translate new knowledge on fundamental disease mechanisms into new medicines and clinical applications. As an interdisciplinary forum for the science and treatment of disorders of the brain, they promote the communication and cross- fertilization of high-quality experimental and clinical research across the field of neuroscience. ECNP is a non-profit member-based association, independently governed and self-funded. ECNP is a public-interest-serving entity.

Proper citation: ECNP (RRID:SCR_000501) Copy   

•   Source: SciCrunch Registry

http://www.hl7.org/index.cfm?ref=nav

ANSI-accredited standards developing organization providing a comprehensive framework and related standards for the exchange, integration, sharing, and retrieval of electronic health information that supports clinical practice and the management, delivery and evaluation of health services. HL7's 2,300+ members include approximately 500 corporate members who represent more than 90% of the information systems vendors serving healthcare. HL7 provides standards for interoperability that improve care delivery, optimize workflow, reduce ambiguity and enhance knowledge transfer among all of their stakeholders, including healthcare providers, government agencies, the vendor community, fellow SDOs and patients.

Proper citation: Health Level Seven International (RRID:SCR_000466) Copy   

•   Source: SciCrunch Registry

https://nei.nih.gov/health/clinicalstudies/

An archived portal of clinical studies, both ongoing and completed, that have been conducted and supported by the National Eye Institute (NEI) since 1970. The portal covers corneal diseases, glaucoma, epidemiology, lens and cataract, retinal diseases, strabismus, amblyopia and visual processing.

Proper citation: NEI Clinical Studies (RRID:SCR_000546) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/atp

Autism research program that makes available post-mortem brain tissue to qualified scientists all over the world. Working directly with tissue banks, organ procurement agencies, medical examiners and the general public, this is the largest program dedicated to increasing and enhancing the availability of post-mortem brain tissue for basic research in autism. To date, the ATP has collected and stored more than 170 brains in their repositories at Harvard (US) and Oxford (UK). These brains are processed by formalin fixation and/or snap frozen to properly provide high quality tissue of all brain regions, in support of biological research in autism. The ATP is unique in that they diligently pursue all available clinical data (pre and post mortem) on tissue donors in order to create the most biologically relevant brain repository for autism research. These data, together with tissue resources from both banks and associated repositories, are presented to all interested researchers through their extensive web-based data portal (login required). The ATP is not a brain bank, but works directly with the Harvard Brain Tissue Resource Center in Boston (HBTRC), Massachusetts to serve as its tissue repository. This program augments brain bank functions by: * Creating the most biologically relevant brain tissue repository possible * Fully covering all costs associated with brain extraction and transfer to the repositories at Harvard (US and Canada) and Oxford (UK). * Providing scientific oversight of tissue distributions * Overseeing and managing all tissue grants * Clinically phenotyping and acquiring extensive medical data on all of their donors * Providing continuing family support and communication to all of their donors * Directly supporting researchers to facilitate autism research * Maintaining a robust web based data management and secure on-line global interface system * Developing and supporting ATP established scientific initiatives * Actively providing public outreach and education The ATP is not a clinical organ procurement agency, but rather they facilitate the wishes of donors and families to donate their tissue to autism research. Through the ATP's established international infrastructure, they work with any accredited tissue bank, organ procurement agency, or medical examiner that receives a family's request to donate their loved one's tissue to the program. Once contacted, the ATP will insure that the family's request to donate their loved one's tissue is faithfully met, covering all costs to the family and partnering agency as well as ensuring the tissues' proper and rapid transport to the ATP's repository at the Harvard Brain Tissue Resource Center (HBTRC) in Boston, Massachusetts.

Proper citation: Autism Tissue Program (RRID:SCR_000651) Copy   

•   Source: SciCrunch Registry

http://cvrl.ioo.ucl.ac.uk/index.htm

The Colour & Vision Research laboratory and database are based at the Institute of Ophthalmology, which is part of University College London. The Institute and CVRL are both closely associated with Moorfields Eye Hospital. The Institute is next door to Moorfields Eye Hospital near Old Street tube station (see directions). At the Colour & Vision Research laboratory, we investigate normal and clinical human visual perception. Our research focuses on questions about colour perception, light and dark adaptation, night-time vision, and the temporal and spatial properties of vision. Our primary goal is to understand the nature of the mechanisms that underlie visual perception, and to understand how those mechanism malfunction in clinical cases. More details about our research can be found by looking at the publications of members of the laboratory. The CVRL database, first set up in 1995, provides an annotated library of downloadable standard data sets relevant to colour and vision research. The focus of this site is primarily scientific and technical, but some introductory background information is also provided. A consistent set of functions for modeling colour vision based on the Stockman & Sharpe cone fundamentals and on our more recent luminous efficiency measurements are summarized under the category CVRL functions. These functions are tabulated in 0.1, 1 and 5 nm steps and can be returned as csv, xml, or tabular data or as dynamic plots. The Stockman & Sharpe cone fundamentals are the basis of a CIE proposal for physiologically-relevant colour matching functions. These functions, which are indentical to the CVRL functions, are summarized under the category CIE 2007 functions. The CIE functions are also tabulated in 0.1, 1 and 5 nm steps, and can also be returned as csv, xml, or tabular data or as dynamic plots. Significant additions to the database are the individual colour matching measurements made by Stiles & Burch. These have been compiled and cross-checked with the help of Boris Oicherman, Alexander Logvinenko, and Abhijit Sarkar from hard copies of the original data provided by Pat Trezona and Mike Webster. They can be obtained as Excel files and are available for both 2 and 10 colour matches. Other data sets, which are provided as csv files, include cone fundamentals, colour matching functions, chromaticity coordinates, prereceptoral filter density spectra, photopigment spectra, and CIE standards. Many of these data sets can also be viewed as dynamic plots. Sponsors: CVRL is funded by BBSRC The Wellcome Trust, Fight for Sight, National Eye Institute, and NIH.

Proper citation: Colour and Vision Research Laboratory (RRID:SCR_000770) Copy   

•   Source: SciCrunch Registry

http://ctri.nic.in/Clinicaltrials/login.php

Free, online public record system for registration of clinical trials being conducted in India. Initiated as a voluntary measure, trial registration in the CTRI has been made mandatory by the Drugs Controller General (India) (DCGI) (http://www.cdsco.nic.in/). Moreover, Editors of Biomedical Journals of 11 major journals of India declared that only registered trials would be considered for publication. Today, any researcher who plans to conduct a trial involving human participants, of any intervention such as drugs, surgical procedures, preventive measures, lifestyle modifications, devices, educational or behavioral treatment, rehabilitation strategies as well as trials being conducted in the purview of the Department of AYUSH (http://indianmedicine.nic.in/) is expected to register the trial in the CTRI before enrollment of the first participant. Trial registration involves public declaration and identification of trial investigators, sponsors, interventions, patient population etc before the enrollment of the first patient. Submission of Ethics approval and DCGI approval (if applicable) is essential for trial registration in the CTRI. Multi-country trials, where India is a participating country, which have been registered in an international registry, are also expected to be registered in the CTRI. In the CTRI, details of Indian investigators, trial sites, Indian target sample size and date of enrollment are captured. After a trial is registered, trialists are expected to regularly update the trial status or other aspects as the case may be. After a trial is registered, all updates and changes will be recorded and available for public display. The CTRI is working with the WHO ICTRP to ensure that results of all trials registered with the CTRI are adequately reported and publicly available.

Proper citation: Clinical Trials Registry - India (RRID:SCR_000679) Copy   

•   Source: SciCrunch Registry

http://www.bumc.bu.edu/cardiovascularproteomics/

The Cardiovascular Proteomics Center is a research center funded by the NIH/NHLBI to analyze and identify proteins that may be modified or created by oxidative stress. The CPC is developing and applying new proteomics methodology and instrumentation to the analysis of known proteins and those yet to be discovered.

Proper citation: Cardiovascular Proteomics Center (RRID:SCR_000603) Copy   

•   Source: SciCrunch Registry

http://www.feinberg.northwestern.edu/

Medical school of Northwestern University which focuses on research initiatives, clinical affiliates, and global outlook.

Proper citation: Northwestern University Feinberg School of Medicine; Illinois; USA (RRID:SCR_001058) Copy   

•   Source: SciCrunch Registry

http://www.neuroscience.ufl.edu/

A department at the University of Florida's College of Medicine that offers programs of study on neural function and how it changes with injury and disease. The institution's research ranges from fundamental discovery to clinical application. These neuroscience programs are offered at the undergraduate, graduate, postdoctoral and resident level.

Proper citation: University of Florida College of Medicine Neuroscience (RRID:SCR_001081) Copy   

•   Source: SciCrunch Registry

https://cde.nlm.nih.gov/

A repository of Common Data Elements (CDE). The CDE is a standardized, precisely defined question, paired with a set of allowable responses, used systematically across different sites, studies, or clinical trials to ensure consistent data collection. Multiple CDEs (from one or more Collections) can be curated into Forms. Forms in the Repository might be original, or might recreate the format of real-world data collection instruments or case report forms. NIH has endorsed collections of CDEs that meet established criteria. NIH-endorsed CDEs are designated with a gold ribbon. Users can Browse NIH-Endorsed CDEs, Browse All CDEs, or Browse Forms.

Proper citation: NIH Common Data Element Repository (RRID:SCR_001390) Copy   

•   Source: SciCrunch Registry

http://radiology.arizona.edu/CGRI/

Biomedical technology resource center that develops new gamma-ray imaging instruments and techniques that yield substantially improved spatial and temporal resolutions. The Center makes its imagers and expertise available to a wide community of biomedical and clinical researchers through collaborative and service-oriented interactions. The collaborative research applies these new imaging tools to basic research in functional genomics, proteomics, cancer, cardiovascular disease and cognitive neuroscience, and to clinical research in tumor detection and other selected topics. There are five core research projects: * Detector technology research and development * Reconstruction algorithms and system modeling * Data acquisition, signal processing, and system development * Image-quality assessment and system optimization * Techniques for molecular imaging

Proper citation: Center for Gamma Ray Imaging (RRID:SCR_001384) Copy   

•   Source: SciCrunch Registry