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Found 27 result(s)
ClinicalTrials.gov is a website and online database of clinical research studies and information about their results. The purpose of ClinicalTrials.gov is to provide information about clinical research studies to the public, researchers, and health care professionals. The U.S. government does not review or approve the safety and science of all studies listed on this website.
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The UMIN case data repository system was implemented by adding a function to the UMIN Clinical Trials Registry System. The aim of this system is to keep anonymized case data from clinical research conducted by individual researchers at the UMIN center, and to guarantee the content of the data to third parties. This system enables other researchers to inspect case data or to repeat statistical analyses
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The DRKS is an open access online register for clinical trials conducted in Germany, which allows all users to search, register and share information on clinical trials.
The Coronavirus Antiviral Research Database is designed to expedite the development of SARS-CoV-2 antiviral therapy. It will benefit global coronavirus drug development efforts by (1) promoting uniform reporting of experimental results to facilitate comparisons between different candidate antiviral compounds; (2) identifying gaps in coronavirus antiviral drug development research; (3) helping scientists, clinical investigators, public health officials, and funding agencies prioritize the most promising compounds and repurposed drugs for further development; (4) providing an objective, evidenced-based, source of information for the public; and (5) creating a hub for the exchange of ideas among coronavirus researchers whose feedback is sought and welcomed. By comprehensively reviewing all published laboratory, animal model, and clinical data on potential coronavirus therapies, the Database makes it unlikely that promising treatment approaches will be overlooked. In addition, by making it possible to compare the underlying data associated with competing treatment strategies, stakeholders will be better positioned to prioritize the most promising anti-coronavirus compounds for further development.
BioLINCC is the Biologic Specimen and Data Repository Coordinating Center. The center coordinates data and biospecimens from NHLBI-funded studies that are available for use in other approved studies. The center also creates teaching data sets from NHLBI-funded studies for use in training future biostatisticians.
The human pluripotent stem cell registry (hPSCreg) is a public registry and data portal for human embryonic and induced pluripotent stem cell lines (hESC and hiPSC). The Registry provides comprehensive and standardized biological and legal information as well as tools to search and compare information from multiple hPSC sources and hence addresses a translational research need. To facilitate unambiguous identification over different resources, hPSCreg automatically creates a unique standardized name (identifier) for each cell line registered. In addition to biological information, hPSCreg stores extensive data about ethical standards regarding cell sourcing and conditions for application and privacy protection. hPSCreg is the first global registry that holds both, manually validated scientific and ethical information on hPSC lines, and provides access by means of a user-friendly, mobile-ready web application.
The International Union of Basic and Clinical Pharmacology (IUPHAR) / British Pharmacological Society (BPS) Guide to PHARMACOLOGY is an expert-curated resource of ligand-activity-target relationships, the majority of which come from high-quality pharmacological and medicinal chemistry literature. It is intended as a “one-stop shop” portal to pharmacological information and its main aim is to provide a searchable database with quantitative information on drug targets and the prescription medicines and experimental drugs that act on them. In future versions we plan to add resources for education and training in pharmacological principles and techniques along with research guidelines and overviews of key topics. We hope that the IUPHAR/BPS Guide to PHARMACOLOGY (abbreviated as GtoPdb) will be useful for researchers and students in pharmacology and drug discovery and provide the general public with accurate information on the basic science underlying drug action.
<<<!!!<<< The repository is no longer available - Data previously on the site are now available at ftp://ftp.ncbi.nlm.nih.gov/pub/mhc/mhc/Final Archive. >>>!!!>>> The dbMHC database provides an open, publicly accessible platform for DNA and clinical data related to the human Major Histocompatibility Complex (MHC). The dbMHC provides access to human leukocyte antigen (HLA) sequences, HLA allele and haplotype frequencies, and clinical datasets.
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The German Central Health Study Hub is a platform that serves two different kinds of users. First, it allows scientists and data holding organizations (data producers) to publish their project characteristics, documents and data related to their research endeavour in a FAIR manner. Obviously, patient-level data cannot be shared publicly, however, metadata describing the patient-level data along with information about data access can be shared via the platform (preservation description information). The other kind of user is a scientist or researcher (data consumer) that likes to find information about past and ongoing studies and is interested in reusing existing patient-level data for their project. To summarize, the platforms connect data providers with data consumers in the domain of clinical, public health and epidemiologic health research to foster reuse. The platform aggregates and harmonizes information already entered in various public repositories such as DRKS, clinicaltrials.gov, WHO ICTRP to provide a holistic view of the German research landscape in the aforementioned research areas. In addition, data stewards actively collect available information from (public) resources such as websites that cannot be automatically integrated. The service started during the COVID-19 pandemic.
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The Human Metabolome Database (HMDB) is a freely available electronic database containing detailed information about small molecule metabolites found in the human body. It is intended to be used for applications in metabolomics, clinical chemistry, biomarker discovery and general education.
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Goal of the RDC at ZPID is the documentation and long-term archiving of research data from all areas of psychology and the social sciences in accordance with the FAIR principles, using specially created metadata and to provide use of the data for scientific purposes such as secondary analysis and reanalysis. The RDC at ZPID contains all areas of psychology, in particular data sets from clinical, developmental, educational, gero-, and work and organizational psychology stemming from longitudinal studies, major surveys, and test development.
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Human biomaterial banks (short: biobanks) are collections of human body substances (i.e. blood, DNA, urine or tissue) connected with disease specific information. This allow for research of relations between deseases and underlying (molecular) modifications and paves the way for developing target-oriented therapies ("personalized medicine"). The biobank material arises from samples taken for therapeutical or diagnostic reasons or is extracted in the context of clinical trials. An approval for usage by the patient is always needed prior to any research activities.
CPES provides access to information that relates to mental disorders among the general population. Its primary goal is to collect data about the prevalence of mental disorders and their treatments in adult populations in the United States. It also allows for research related to cultural and ethnic influences on mental health. CPES combines the data collected in three different nationally representative surveys (National Comorbidity Survey Replication, National Survey of American Life, National Latino and Asian American Study).
The Federal Interagency Traumatic Brain Injury Research (FITBIR) informatics system was developed to share data across the entire TBI research field and to facilitate collaboration between laboratories, as well as interconnectivity with other informatics platforms. Sharing data, methodologies, and associated tools, rather than summaries or interpretations of this information, can accelerate research progress by allowing re-analysis of data, as well as re-aggregation, integration, and rigorous comparison with other data, tools, and methods. This community-wide sharing requires common data definitions and standards, as well as comprehensive and coherent informatics approaches.
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>>>!!!<<< The NCI Cancer Models Database, caMOD, was retired on December 24, 2015. Information about many of the mouse models hosted in caMOD was obtained from the Jackson Laboratory Mouse Tumor Biology (MTB) Database and can be accessed through that resource http://tumor.informatics.jax.org/mtbwi/index.do . See caMOD Retirement Announcement https://wiki.nci.nih.gov/display/caMOD/caMOD+Retirement+Announcement >>>>!!<<< Query the Cancer Models database for models submitted by fellow researchers. Retrieve information about the making of models, their genetic description, histopathology, derived cell lines, associated images, carcinogenic agents, and therapeutic trials. Links to associated publications and other resources are provided.
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PsychArchives is a disciplinary repository for psychological science and neighboring disciplines. Accommodating 20 different digital research object (DRO) types, including articles, preprints, research data, code, supplements, preregistrations, tests and multimedia objects, PsychArchives provides a digital space that integrates all research-related content relevant to psychology. PsychArchives is committed to the FAIR principles, facilitating the findability, accessibility, interoperability and reusability of research and research data.
ALSoD is a freely available database that has been transformed from a single gene storage facility recording mutations in the SOD1 gene to a multigene ALS bioinformatics repository and analytical instrument combining genotype, phenotype, and geographical information with associated analysis tools. These include a comparison tool to evaluate genes side by side or jointly with user configurable features, a pathogenicity prediction tool using a combination of computational approaches to distinguish variants with nonfunctional characteristics from disease-associated mutations with more dangerous consequences, and a credibility tool to enable ALS researchers to objectively assess the evidence for gene causation in ALS. Furthermore, integration of external tools, systems for feedback, annotation by users, and two-way links to collaborators hosting complementary databases further enhance the functionality of ALSoD.
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Harmonia universalis is a prosopographical database gathering data on the actors of the mesmerist movement at the end of the 18th century. The Harmonia Universalis database is designed as a space for exchange and sharing between researchers and enthusiasts. Any interested person can participate in its realization by contacting the administrators of the database. They will then be able to enter directly on line the information they wish to introduce. These will be integrated into the database after confirmation by the administrators.
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The Trøndelag Health Study (The HUNT Study) is one of the largest health studies ever performed. It is a unique database of questionnaire data, clinical measurements and samples from a county’s inhabitants from 1984 onwards. The HUNT Study is well-known in the county of Trøndelag, and its inhabitants have a generally positive attitude to participation and health research resulting from the study. HUNT has high participation rates, providing a good base for further health surveys in the county and an excellent research environment. Today, HUNT Research Centre has a database with information on 230,000 people. Approximately 300 national and international research projects are currently using the samples and data from HUNTs collection.
The Africa Health Research Institute (AHRI) has published its updated analytical datasets for 2016. The datasets cover socio-economic, education and employment information for individuals and households in AHRI’s population research area in rural northern KwaZulu-Natal. The datasets also include details on the migration patterns of the individuals and households who migrated into and out of the surveillance area as well as data on probable causes of death for individuals who passed away. Data collection for the 2016 individual interviews – which involves a dried blood spot sample being taken – is still in progress, and therefore datasets on HIV status and General Health only go up to 2015 for now. Over the past 16 years researchers have developed an extensive longitudinal database of demographic, social, economic, clinical and laboratory information about people over the age of 15 living in the AHRI population research area. During this time researchers have followed more than 160 000 people, of which 92 000 are still in the programme.
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More than a quarter of a million people — one in 10 NSW men and women aged over 45 — have been recruited to our 45 and Up Study, the largest ongoing study of healthy ageing in the Southern Hemisphere. The baseline information collected from all of our participants is available in the Study’s Data Book. This information, which researchers use as the basis for their analyses, contains information on key variables such as height, weight, smoking status, family history of disease and levels of physical activity. By following such a large group of people over the long term, we are developing a world-class research resource that can be used to boost our understanding of how Australians are ageing. This will answer important health and quality-of-life questions and help manage and prevent illness through improved knowledge of conditions such as cancer, heart disease, depression, obesity and diabetes.
The NCBI database of Genotypes and Phenotypes archives and distributes the results of studies that have investigated the interaction of genotype and phenotype, including genome-wide association studies, medical sequencing, molecular diagnostic assays, and association between genotype and non-clinical traits. The database provides summaries of studies, the contents of measured variables, and original study document text. dbGaP provides two types of access for users, open and controlled. Through the controlled access, users may access individual-level data such as phenotypic data tables and genotypes.
Arca Data is Fiocruz's official repository for archiving, publishing, disseminating, preserving and sharing digital research data produced by the Fiocruz community or in partnership with other research institutes or bodies, with the aim of promoting new research, ensuring the reproducibility or replicability of existing research and promoting an Open and Citizen Science. Its objective is to stimulate the wide circulation of scientific knowledge, strengthening the institutional commitment to Open Science and free access to health information, in addition to providing transparency and fostering collaboration between researchers, educators, academics, managers and graduate students, to the advancement of knowledge and the creation of solutions that meet the demands of society.