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National Human Brain Bank for Development and Function was originally established in 2012 by the Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences as a public interest institution dedicated to the preservation and research of human brain tissues based on the volunteer donor station of Peking Union Medical College. In 2019, it was officially recognised by the Ministry of Science and Technology as a national science and technology resource platform: National Human Brain Bank for Development and Function. Since its establishment, the Concordia Brain Bank has accepted and preserved more than two hundred and seventy whole brain tissue samples. While conducting its own research on the standardisation of brain banks, neuropathology and various histologies related to human brain ageing and dementia, it has also developed and published the Standardised Operational Protocol for Human Brain Tissue Banks in China for more than ten universities in China, and has provided valuable human brain tissue samples for a number of research groups in our own institutions and other units in China, which has strongly supported brain science and brain disease research in China. As a national resource platform, we will continue to aim to support and lead brain science research in China and make positive contributions to maintaining brain health and defeating brain diseases.
All ADNI data are shared without embargo through the LONI Image and Data Archive (IDA), a secure research data repository. Interested scientists may obtain access to ADNI imaging, clinical, genomic, and biomarker data for the purposes of scientific investigation, teaching, or planning clinical research studies. "The Alzheimer’s Disease Neuroimaging Initiative (ADNI) unites researchers with study data as they work to define the progression of Alzheimer’s disease (AD). ADNI researchers collect, validate and utilize data, including MRI and PET images, genetics, cognitive tests, CSF and blood biomarkers as predictors of the disease. Study resources and data from the North American ADNI study are available through this website, including Alzheimer’s disease patients, mild cognitive impairment subjects, and elderly controls. "
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The transfer unit for data and biomaterials at the interface between Community Medicine and Molecular Medicine at the Medical Faculty of the University Medicine Greifswald enables the use of data from the studies of the research association Community Medicine (FVCM), e.g. the "Study of Health in Pomerania" (SHIP), "Study of Neonates in Pomerania" (SNiP), or "Greifswald Approach to Individualized Medicine" (GANI_MED), coordinated with regard to application, provision and documentation.
The Substance Abuse and Mental Health Data Archive (SAMHDA) is an initiative funded under contract HHSS283201500001C with the Center for Behavioral Health Statistics and Quality (CBHSQ), Substance Abuse and Mental Health Services Administration (SAMHSA), U.S. Department of Health and Human Services (HHS). CBHSQ has primary responsibility for the collection, analysis, and dissemination of SAMHSA's behavioral health data. Public use files and restricted use files are provided. CBHSQ promotes the access and use of the nation's substance abuse and mental health data through SAMHDA. SAMHDA provides public-use data files, file documentation, and access to restricted-use data files to support a better understanding of this critical area of public health.
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.