Tools   Select Another Resource Report Type

http://emsci.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 6, 2023. A clinical spinal cord injury network that provides a database of clinical assessment data from spinal cord injured patients. The EMSCI assessment scheme currently consists of the so called core sets: neurological (ISNCSCI), functional (10MWT, 6MWT, TUG, WISCI2) measurements and independence measures (SCIM3). Additional assessments are: neurophysiology (MEP, SSEP, NCV), pain, hand function and an urodynamics.

Proper citation: European Multicenter Study about Spinal Cord Injury (RRID:SCR_003720) Copy   

•   Source: SciCrunch Registry

http://www.swanrepository.com/

The SWAN Repository is the biologic specimen bank of the Study of Women''s Health Across the Nation (SWAN). SWAN is a National Institutes of Health funded, multi-site, longitudinal study of the natural history of the midlife including the menopausal transition. The overall goal of SWAN is to describe the chronology of the biological and psychosocial characteristics that occur during midlife and the menopausal transition. In addition, SWAN is describing the effect of the transition and its associated characteristics on subsequent health and risk factors for age related chronic diseases. SWAN was designed to collect and analyze information on demographics, health and social characteristics, reproductive history, pre-existing illness, physical activity, and health practices of mid-life women in multi-ethnic, community-based samples; elucidate factors that differentiate symptomatic from asymptomatic women during the menopausal transition; identify and utilize appropriate markers of the aging of the ovarian-hypothalamo-pituitary axis and relate these markers to alterations in menstrual cycle characteristics as women approach and traverse the menopause; and explain factors that differentiate women most susceptible to long-term pathophysiological consequences of ovarian hormone deficiency from those who are protected. The biological specimen bank can also be linked by identification number (not by participant name) to data collected in the Core SWAN protocol. The specimen bank can also be linked with data from the Daily Hormone Study as well as menstrual calendars. Types of data include: epidemiological data, psychosocial data, physical measures, as well as data from assays (endocrine and cardiovascular information). SWAN has seven clinical study sites located in six states, two in California, and one each in Chicago, Boston, Detroit area, northern New Jersey and Pittsburgh. The SWAN cohort was recruited in 1996/7 and consists of 3302 African American, Caucasian, Chinese American, Hispanic and Japanese American women. Cohort members complete an annual clinic visit. The Core Repository includes over 1.8 million samples from the first 11 years of specimen collection. This includes samples from annual visits and samples from the Daily Hormone Sub-study (DHS). During an Annual visit, participants provide materials for up to 24-28 aliquots to be incorporated into the Repository. During a DHS visit, a participant provides 6 serum samples and between ~30-50 urine samples depending upon the length of her menstrual cycle. DHS participants (887) provide urine samples collected throughout one menstrual cycle each year. A typical DHS collection consists of a blood draw plus collection of 10 ml of urine daily throughout the month-long menstrual cycle, up to 50 days. DHS Repository samples consist of 6 serum samples and 30 5 ml urine samples. Specimen collection occurs from the time of menstrual bleed to the subsequent menstrual bleed or up to 50 days, whichever come first. The current DHS collection consists of more than 200,000 specimens stored in 5 ml vials. The SWAN DNA Repository currently contains extracted diluted DNA from 1538 SWAN participants. B-lymphocytes were transformed with Epstein Barr virus, and the resulting transformed b-cells aliquoted. Information about using these transformed cells for genomic or proteomic studies is available. DNA has been extracted from one aliquot (per woman) of the immortalized cells using the Puregene system. There was an average DNA yield of 217.0 mg/mL and a A260/A280 average ratio of 1.86. This DNA, in turn, has been aliquoted into 20ng/1 ml units for release by the DNA Repository. Samples are free of personal identifiers and collected under consents that allow a broad range of activities related to women''s health. All of these samples are available to researchers who wish to study the midlife and menopausal transition. Scientists who use these specimens can also request data collected during a participant''s annual visit including medical and health history, psychosocial measures, biological measures and anthropometry.

Proper citation: Study of Womens Health Across the Nation (SWAN) Repository (RRID:SCR_008810) Copy   

•   Source: SciCrunch Registry

http://www.nihclinicalcollection.com

A plated array of approximately 450 small molecules that have a history of use in human clinical trials. The collection was assembled by the National Institutes of Health (NIH) through the Molecular Libraries Roadmap Initiative as part of its mission to enable the use of compound screens in biomedical research. Similar collections of FDA approved drugs have proven to be rich sources of undiscovered bioactivity and therapeutic potential. The clinically tested compounds in the NCC are highly drug-like with known safety profiles. These compounds can provide excellent starting points for medicinal chemistry optimization and, for high-affinity targets, may even be appropriate for direct human use in new disease areas.

Proper citation: NIH Clinical Collection (RRID:SCR_007349) Copy   

•   Source: SciCrunch Registry

http://www.gtec.at/Products/Software/g.BSanalyze-Specs-Features

An interactive environment for multimodal biosignal data processing and analysis in the fields of clinical research and life sciences. It is the most comprehensive package to analyze non-invasive and invasive brain-, heart- and muscle-functions and dysfunctions. It includes many functions such as support vector machines, event-related ECG, support for P300 and SSVEP/SSSEP BCIs, zero class detection for BCIs, compressed spectral array, minimum energy, and more! g.BSanalyze consists of a base version for data import, visualization, transformation and pre-processing and has several dedicated toolboxes. The package comes with many sample biosignal data-sets, including P300, SSVEP, motor imagery, CSP BCIs, Tilt-Table, EPs, multi-unit activity, CFM, and ERD/ERS.

Proper citation: g.BSanalyze (RRID:SCR_009625) Copy   

•   Source: SciCrunch Registry

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3860449/

Collection of far reaching initiatives designed to transform research capabilities and improve translation of research into practice. Program consists of three major themes: new pathways to discovery, research teams of future, and reengineering clinical research enterprise.

Proper citation: NIH Roadmap (RRID:SCR_011465) Copy   

•   Source: SciCrunch Registry

http://www.elsevier.com/online-tools/embase

Comprehensive international bibliographic biomedical database that enables users to track and retrieve precise information on drugs and diseases from pre-clinical studies to searches on critical toxicological information. It contains bibliographic records with citations, abstracts and indexing derived from biomedical articles in peer reviewed journals, and is especially strong in its coverage of drug and pharmaceutical research. Embase can help with everything from clinical trials research to pharmacovigilance and is updated online daily and weekly. Its broad biomedical scope covers the following areas: * Drug therapy and research, including pharmaceutics, pharmacology and toxicology * Clinical and experimental (human) medicine * Basic biological science relevant to human medicine * Biotechnology and biomedical engineering, including medical devices * Health policy and management, including pharmacoeconomics * Public, occupational and environmental health, including pollution control * Veterinary science, dentistry, and nursing The Embase Application Programming Interface supports export, RSS feeds, and integration services, making it possible to share data with a wide range of systems.

Proper citation: EMBASE (RRID:SCR_001650) Copy   

•   Source: SciCrunch Registry

http://www.childrennetwork.org/

Database of clinical information and serum and tissue samples from children across the United States and Canada with Biliary Atresia, Idiopathic Neonatal Hepatitis, Cystic Fibrosis Liver Disease, Alagille Syndrome, Alpha-1 Antitrypsin Deficiency, Bile Acid Synthesis Defects, Mitochondrial Hepatopathies, and Progressive Familial Intrahepatic Cholestasis in order to facilitate research and to perform clinical, epidemiological, and therapeutic trials in these important pediatric liver diseases. Three NIDDK-funded consortia, Biliary Atresia Research Consortium (BARC), Cholestatic Liver Disease Consortium (CLiC), and the Cystic Fibrosis Liver Disease (CFLD) Network were consolidated to form ChiLDREN. Most of the ChiLDREN studies are natural history studies aimed at acquiring information and data that will provide a better understanding of these rare conditions. Participants will be asked to allow study personnel to obtain information from medical records and an interview, and to collect blood, urine, and tissue samples when clinically indicated, in order to understand the causes of these diseases and to improve the diagnosis and treatment of children with these diseases. All of the information obtained in these studies is confidential and no names or identifying information are used in the study.

Proper citation: Childhood Liver Disease Research and Education Network (RRID:SCR_001497) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.aecom.yu.edu/index.htm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 6, 2023. Primary informatics resource for joint research efforts of the Albert Einstein College of Medicine and Montefiore Medical Center to facilitate the study and understanding of biological processes, clinical disorders, pathologic abnormalities, and the relationships among them, using a wide variety of informatics techniques, applications, and user training. Their services include: * Collaboration on research design to enable effective data management throughout all phases of a project * Provision of management capability for large volumes of data generated by microarrays and related technologies * Provision and supports a software toolchest for data capture, retrieval, and analysis * Design and implementation of custom interfaces to incorporate existing or separately designed databases into the central data management architecture * Support for data management for the Biorepository, to enhance specimen storage, identification, and linkage with clinical data * Ensuring conformity of data elements and structures to national standards via participation in standards organizations, facilitating intramural and extramural collaboration * Providing individualized support to end-users with bioinformatics training needs * Serving as a bioinformatics liaison to other research institutes and organizations * Providing data management support for clinical research * Providing a common, secure repository for clinical, experimental, and biosample storage data

Proper citation: Einstein-Montefiore ICTR Research Informatics Core (RRID:SCR_003451) Copy   

•   Source: SciCrunch Registry

http://psychiatry.ucsd.edu/index.html

The Department of Psychiatry at the University of California, San Diego is one of the most innovative and productive academic departments of psychiatry in the country. The guiding principle in this development has been that the educational and research programs of a psychiatry department must be at the cutting edge and encompass and integrate the most current innovations in the field with those approaches from the past which have proven to be valid and effective. The department has a strong commitment to the dynamic understanding of an individual's current social context and feelings, and past behaviors and experiences. We believe we have created one of the best available integrations of the biopsychosocial approaches to understanding normal and abnormal human behavior. By design, a rich diversity of scientific and clinical strategies are represented within the department, but the core organizing ethic of our educational and training programs is a profound commitment to our patients well being. It is the department's conviction that clinical psychiatry can only be learned in the context of meaningful interaction and contact with patients. The Residency Training Program is developmental in nature, appropriately challenging the residents at each level as they move from intensively supervised beginners to autonomous, confident, skilled clinicians and colleagues at graduation. The training occurs within the department's ambiance of collegiality, enthusiasm, openness of communication, intellectual and scientific rigor, and spirit of inquiry, which characterize our highly productive and energetic faculty. The UCSD faculty represent a virtual who's who of world-class basic and clinical scientists and clinicians, all of whom are available and participate in our residents training and experiences. The tradition at UCSD, both on the general campus and within the School of Medicine, is that of academic excellence. The department shares in this tradition and expects it from its faculty, trainees, and students. The goal of the residency program is to develop highly competent psychiatric physicians and leaders who are comprehensively trained in the most up-to-date diagnostic and treatment techniques which have proven effective for the full spectrum of mental disorders.

Proper citation: University of California at San Diego Department of Psychiatry (RRID:SCR_001931) Copy   

•   Source: SciCrunch Registry

http://hivdb.stanford.edu/

The Stanford University HIV Drug Resistance Database is a curated public database designed to represent, store, and analyze the different forms of data underlying HIVs drug resistance. HIVDB has three main types of content: (1) Database queries and references, (2) Interactive programs, and (3) Educational resources. Database queries are designed primarily for researchers studying HIV drug resistance. The interactive programs and educational resources are designed for both researchers and those wishing to learn more about HIV drug resistance. 1.DATABASE QUERY AND REFERENCE PAGES Genotype-Treatment Correlations This Genotype-Treatment section of the database links to 15 interactive query pages that explore the relationship between treatment with HIV-1 antiretroviral drugs (ARVs) and mutations in HIV reverse transcriptase (RT), protease, and integrase. There are five types of interactive query pages: Treatment Profiles (Protease and RT inhibitors) Mutation Profiles (Protease and RT mutations) Detailed Treatment Queries (Protease, RT, and integrase inhibitors) Detailed Mutation Queries (Protease, RT, and integrase mutations) Mutation Prevalence According to Subtype and Treatment Genotype-Phenotype Correlations The main page of the Genotype-Phenotype Correlations section links to four interactive query pages: three dynamically updated data summaries and one regularly updated downloadable dataset. Drug Resistance Positions Query for levels of resistance associated with known drug resistance mutations Detailed Phenotype Queries Queries for levels of resistance associated with individual mutations or mutation combinations at all positions of protease, RT, and integrase Patterns of Drug Resistance Mutations Downloadable Reference Dataset Genotype-Clinical Correlations This part of the database has two main sections: Clinical Trials Datasets Summaries of Clinical Studies References This part of the database has two main sections: one with summaries of the data from each of the references in HIVDB and one in which every primate immunodeficiency virus sequence in GenBank is annotated according to its presence or absence in HIVDB. Studies in HIVDB GenBank <=> HIVDB New Submissions Approximately every three months, the New Submissions section lists the studies that have been entered into HIVDB. The study title links to the introductory page of the study in the References section. Database Statistics (http://hivdb.stanford.edu/pages/HIVdbStatistics.html) 2. INTERACTIVE PROGRAMS HIVDB has seven main interactive programs. 1. HIVdb Program Mutation List Analysis Sequence Analysis HIVdb Output Sierra Web Service Release Notes Algorithm Specification Interface (ASI) 2. HIValg Program 3. HIVseq Program 4. Calibrated Population Resistance (CPR) tool 5. Mutation ARV Evidence Listing (MARVEL) 6. ART-AiDE 7. Rega HIV-1 Subtyping tool Three programs in the HIV Drug Resistance Database share a common code base: HIVseq, HIVdb, and HIValg. HIVseq accepts user-submitted protease, RT, and integrase sequences, compares them to the consensus subtype B reference sequence, and uses the differences as query parameters for interrogating the HIV Drug Resistance database (Shafer, D Jung, & B Betts, Nat Med 2000; Rhee SY et al. AIDS 2006). The query result provides users with the prevalence of protease, RT and integrase mutations according to subtype and PI, nucleoside RT inhibitor (NRTI), non-nucleoside RT inhibitor (NNRTI), and integrase inhibitor (INI) exposure. This allows users to detect unusual sequence results immediately so that the person doing the sequencing can check the primary sequence output while it is still on the desktop. In addition, unexpected associations between sequences or isolates can be discovered by immediately retrieving data on isolates sharing one or more mutations with the sequence. There are three ways in which the HIVdb program can be used: (i) entering a list of protease and RT mutations, (ii) entering a complete sequence containing protease, RT, and/or integrase, and (iii) using a Web Service. HIVdb is an expert system that accepts user-submitted HIV-1 pol sequences and returns inferred levels of resistance to 20 FDA-approved ARV drugs including 8 PIs, 7 NRTIs, 4 NNRTIs, and - with this update - one INI. In the HIVdb system, each HIV-1 drug resistance mutation is assigned a drug penalty score and a comment; the total score for a drug is derived by adding the scores of each mutation associated with resistance to that drug. Using the total drug score, the program reports one of the following levels of inferred drug resistance: susceptible, potential low-level resistance, low-level resistance, intermediate resistance, and high-level resistance. HIValg is designed for users interested in comparing the results of different algorithms or who are interested in comparing and evaluating existing and newly developed algorithms. The ability to develop new algorithms that can be run on the HIV Drug Resistance Database depends on the Algorithm Specific Interface (ASI) compiler (Shafer & Betts JCM 2003). Submission of Sequences and Mutations For each of the three programs, sequences can be entered using either the Sequence Analysis Form or the Mutation List form. 3. EDUCATIONAL RESOURCES HIVDB contains several regularly updated sections summarizing data linking RT, protease, and integrase mutations and antiretroviral drugs (ARVs). These sections include (i) tabular summaries of the major mutations associated with each ARV class, (ii) detailed summaries of the major, minor, and accessory mutations associated with each ARV, (iii) the comments used by the HIVdb program, (iv) the scores used by the HIVdb program, (v) clinical studies in which baseline drug resistance mutations have been correlated with the virological response (clinical outcome) to a specific ARV, (vi) mutations that can be used for drug resistance surveillance, and (vii) a two-page PDF handout. 1. Drug Resistance Summaries Tabular Drug Resistance Summaries by ARV Class Detailed Drug Resistance Summaries by ARV Drug Resistance Mutation Comments Used by the HIVdb Program Drug Resistance Mutation Scores Used by the HIVdb Program Genotype-Clinical Outcome Correlation Studies 2. Surveillance Drug-Resistance Mutation List Section 3. PDF Handout Grant Support 1. National Institute for Allergy and Infectious Diseases (NIAID, NIH): Online HIV Drug Resistance Database (PI: Robert W. Shafer, MD, 1R01AI68581-01A1), 04/01/06 - 3/31/11 2. National Institute for Allergy and Infectious Diseases (NIAID, NIH) supplement to the grant Identification of Multidrug-Resistant HIV-1 Isolates (PI: Robert W. Shafer, MD, AI46148-01): Supplement provided 1999-2005. 3. NIH/NIGMS Program Project on AIDS Structural Biology Program Project: Targeting Ensembles of Drug Resistant Protease Variants (PI: Celia Schiffer, PhD, University of Massachusetts): 2002-2007 4. University-wide AIDS Research Program (CR03-ST-524). Community collaborative award: Optimizing Clinical HIV Genotypic Resistance Interpretation: Principal Investigators: Robert W. Shafer, MD and W. Jeffrey Fessel MD (Kaiser Permanente Medical Care Program): 2004-2005 5. Stanford University Bio-X Interdisciplinary Initiative: HIV Gene Sequence Analysis for Drug Resistance Studies: A Pharmacogenetic Challenge Principal Investigators: Robert W. Shafer, MD and Daphne Koller, Ph.D. (Computer Science): 2000-2002

Proper citation: Stanford University HIV Drug Resistance Database (RRID:SCR_006631) Copy   

•   Source: SciCrunch Registry

http://www.research.va.gov/programs/tissue_banking/als/

A human tissue bank that collects, processes, stores and gives out research specimens for future scientific studies. Presently, the VABBB is obtaining neurologic tissue specimens from Veterans who suffer from amyotrophic lateral sclerosis (ALS) and other illnesses that affect Veterans, along with relevant clinical data, essential for research. Currently, neither the cause nor prevention of ALS is known. Medical researchers are currently examining environmental, toxic, genetic, traumatic, medical, and occupational influences as possible contributors to the development and progression of ALS. Veterans have a higher risk of developing ALS compared with non-Veterans; however, the reasons for this higher risk are currently unknown. Any Veteran with ALS in the U.S. may enroll in the VABBB.

Proper citation: VA Biorepository Brain Bank (RRID:SCR_006546) Copy   

•   Source: SciCrunch Registry

https://www.iscaconsortium.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 22, 2022. A rapidly growing group of clinical cytogenetics and molecular genetics laboratories committed to improving quality of patient care related to clinical genetic testing using new molecular cytogenetic technologies including array comparative genomic hybridization (aCGH) and quantitative SNP analysis by microarrays or bead chip technology. They improve clinical care by providing a large publicly available database and forum where clinicians and researchers can share knowledge to expedite the understanding of copy number variation (CNV) in an abnormal population. The ISCA database contains whole genome array data from a subset of the ISCA Consortium clinical diagnostic laboratories. Array analysis was carried out on individuals with phenotypes including intellectual disability, autism, and developmental delay. Efforts of the Consortium include: # Clinical Utility: The ISCA Consortium has made recommendations regarding the appropriate clinical indications for cytogenetic array testing (Miller et al. AJHG 2010, PMID: 20466091). Currently, discussions are focused on pediatric applications for children with unexplained developmental delay, intellectual disability, autism and other developmental disabilities. A separate committee has been developed to address appropriate cancer genetic applications (http://www.urmc.rochester.edu/ccmc/). # Evidence-based standards for cytogenomic array design: The Consortium will develop recommendations for standards for the design, resolution and content of cytogenomic arrays using an evidence-based process and an international panel of experts in clinical genetics, clinical laboratory genetics (cytogenetics and molecular genetics), genomics and bioinformatics. This design is intended to be platform and vendor-neutral (common denominator is genome sequence coordinates), and is a dynamic process with input from the broader genetics community and evidence-based review by the expert panel (which will evolve into a Standing Committee with international representation). # Public Database for clinical and research community: It is essential that publicly available databases be created and maintained for cytogenetic array data generated in clinical testing laboratories. The ISCA data will be held in dbGaP and dbVar at NCBI/NIH and curated by a committee of clinical genetics laboratory experts. The very high quality of copy number data (i.e., deletions and duplications) coming from clinical laboratories combined with expert curation will produce an invaluable resource to the clinical and research communities. # Standards for interpretation of cytogenetic array results: Using the ISCA Database, along with other genomic and genetics databases, the Consortium will develop recommendations for the interpretation and reporting of pathogenic vs. benign copy number changes as well as imbalances of unknown clinical significance.

Proper citation: ISCA Consortium (RRID:SCR_006168) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov/clinvar/

Archive of aggregated information about sequence variation and its relationship to human health. Provides reports of relationships among human variations and phenotypes along with supporting evidence. Submissions from clinical testing labs, research labs, locus-specific databases, expert panels and professional societies are welcome. Collects reports of variants found in patient samples, assertions made regarding their clinical significance, information about submitter, and other supporting data. Alleles described in submissions are mapped to reference sequences, and reported according to HGVS standard.

Proper citation: ClinVar (RRID:SCR_006169) Copy   

•   Source: SciCrunch Registry

https://med.inria.fr/

Software tool as multi platform medical image processing and visualization software. Functionalities include 2D/3D/4D image visualization, image registration, diffusion MR processing and tractography, filtering.

Proper citation: medInria (RRID:SCR_001462) Copy   

•   Source: SciCrunch Registry

https://repository.niddk.nih.gov/network/110

Network that brings together clinical centers with expertise in caring for patients with chronic hepatitis B virus (HBV) infection to conduct research in order to better understand the physiological effects of the disease and develop effective treatment strategies with the currently available therapies. The web site is designed to inform the public of the research activities conducted by the Hepatitis B Research Network. It is also a portal to support communications for their researchers and participants in their studies. The Hepatitis B Research Network is currently seeking patients for a multi-center prospective study of the natural history of chronic hepatitis B. Within the next few months treatment trials for various patients with chronic hepatitis B will also begin enrolling patients. Details of the entry criteria for these studies can be obtained from the clinical centers outlined on the website's map.

Proper citation: Hepatitis B Research Network (RRID:SCR_001531) Copy   

•   Source: SciCrunch Registry

http://www.neuroanatomy.wisc.edu/

Training materials including Web edition modules of the neuroanatomy coursebooks used by first-year medical students at the University of Wisconsin Medical School (UWMS), videos, and images. Topics include spinal cord, brain stem, Cerebellum, Thalamus, Cranial Nerves and National Board Review practice questions.

Proper citation: UW-Madison Neuroscience Resources (RRID:SCR_001649) Copy   

•   Source: SciCrunch Registry

https://github.com/qiicr/dcmqi

Software library to help with the conversion between imaging research formats and the standard DICOM representation for image analysis results. Used to implement conversion of the data stored in commonly used research formats into the standard DICOM representation. Available as a precompiled binary package for every major operating system, as a Docker image, and as an extension to 3D Slicer.

Proper citation: dcmqi (RRID:SCR_016933) Copy   

•   Source: SciCrunch Registry

https://proteomics.cancer.gov/programs/cptac

Clinical proteomic tumor analysis consortium to systematically identify proteins that derive from alterations in cancer genomes and related biological processes, in order to understand molecular basis of cancer that is not possible through genomics and to accelerate translation of molecular findings into clinic. Operates through Proteome Characterization Centers, Proteogenomic Translational Research Centers, and Proteogenomic Data Analysis Centers. CPTAC investigators collaborate, share data and expertise across consortium, and participate in consortium activities like developing standardized workflows for reproducible studies.

Proper citation: CPTAC (RRID:SCR_017135) Copy   

•   Source: SciCrunch Registry

http://www.anzctr.org.au

Register of clinical trials being undertaken in Australia, New Zealand and elsewhere including trials from the full spectrum of therapeutic areas of pharmaceuticals, surgical procedures, preventive measures, lifestyle, devices, treatment and rehabilitation strategies and complementary therapies. In 2007 the ANZCTR was one of the first three trial registries to be recognized by the World Health Organisation International Clinical Trials Registry Platform (WHO ICTRP) as a Primary Registry. WHO recognizes registries as Primary Registries if they fulfill certain criteria with respect to data content, quality and validity, accessibility, unique identification, technical capacity and administration. The ANZCTR contributes data to the WHO ICTRP, which was developed in 2007. Trials from all ICTRP Primary Registries can be searched at: www.who.int/trialsearch Studies should be registered prospectively, i.e. before the first patient is recruited. The registry records a trial's * objectives * main design features * sample size and recruitment status * treatments under investigation * outcomes being assessed * principal investigator * contact person Key points about the ANZCTR * Publicly owned, managed by a not-for-profit organization * All details of trials registered on the ANZCTR are made publicly available * Registration is voluntary, but if a registrant chooses to register a trial, certain fields are mandatory * Registration is free of charge * Responsibility for registration lies with the Sponsor

Proper citation: Australian New Zealand Clinical Trials Registry (RRID:SCR_002967) Copy   

•   Source: SciCrunch Registry

http://ncim.nci.nih.gov/ncimbrowser/

A wide-ranging biomedical terminology database that covers most terminologies used by NCI for clinical care, translational and basic research, and public information and administrative activities. NCIm features: * Maps 4,000,000 terms from more than 75 sources into 2,000,000 biomedical concepts that represent their meaning. * Displays preferred terms, synonyms, definitions, and other information from each source. * Links to NCI Thesaurus and other related information sources. * Contains 22,000,000 cross-links between content elements. * Updated frequently by a team of biomedical terminology and subject matter experts. NCIm contains most public domain terminologies from the National Library of Medicine's UMLS Metathesaurus, as well as many other biomedical terminologies created by or of interest to NCI and its partners. Some propriety terminologies are included, with permission, and have restrictions on their use. The current version of the NCI Metathesaurus, based on the UMLS build 2013AA, covers up to National Cancer Institute Thesaurus, 13.12d. A viewer for the UMLS changes document can be downloaded.

Proper citation: NCI Metathesaurus (RRID:SCR_003565) Copy   

•   Source: SciCrunch Registry