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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
Initiative to improve health by speeding up the development of, and patient access to, innovative medicines, particularly in areas where there is an unmet medical or social need. It does this by initiating and managing consortia composed of the key players involved in healthcare research, including universities, the pharmaceutical and other industries, small and medium-sized enterprises (SMEs), patient organizations, and medicines regulators. IMI is a public-private partnership between the European Union and the European pharmaceutical industry, represented by the European Federation of Pharmaceutical Industries and Associations (EFPIA), with a timeframe separated into two phases (2008-2013, 2014-2024) that are each defined by unique research agendas. The first phase (2008 2013) had four pillars that defined the focus of its research agenda: * Predicting safety: evaluating the safety of a compound during the pre-clinical phase of the development process and the later phases in clinical development. * Predicting efficacy: improving the ability to predict how a drug will interact in humans and how it may produce a change in function. * Knowledge management: utilization of information and data for predicting safety and efficacy. * Education and training: closing existing training gaps in the drug development process. Some of the consortia managed under IMI focused on specific health issues while others focused on broader challenges in drug development. Additionally, IMI launched a number of education and training projects during its first phases. The goal of the second phase (IMI2, 2014-2024) is to develop next generation vaccines and drugs. The focus is on delivering the right prevention and treatment for the right patient at the right time. There is a strong focus on the development of new medicines with an emphasis on tools and methods that accelerate patient access to new medicines. IMI2's agenda can be defined by four axes of research: * target validation and biomarker research (efficacy and safety) * adoption of innovative clinical trial paradigms * innovative medicines * patient-tailored adherence programs As part of its distinct goals, IMI2 aims to deliver: * 30% better success rate in clinical trials of priority medicines identified by the WHO; clinical proof of concept in immunological, respiratory, neurological and neurodegenerative diseases in five years; * new and approved diagnostic markers for four of these diseases and at least two new medicines which could either be new antibiotics or new therapies for Alzheimer's disease.
Proper citation: Innovative Medicines Initiative (RRID:SCR_003754) Copy
A consortium working towards the definition and implementation of a clear strategy that tackles the necessary efforts of Big Data (in terms of research and innovation) while also providing supporting actions for the successful implementation of the Big Data economy. Building an industrial community around Big Data in Europe is the priority of this project, together with setting up the necessary collaboration and dissemination infrastructure to link technology suppliers, integrators and leading user organizations.
Proper citation: Big Data Public Private Forum (RRID:SCR_003837) Copy
Non-profit organization focused on imaging technology that is dedicated to advancing the diagnosis and treatment of mental illness and brain injury. MRN consists of an interdisciplinary association of scientists located at universities, national laboratories and research centers around the world and is focused on imaging technology and its emergence as an integral element of neuroscience investigation. The MRNs initial plan called for the building of state-of-the-art magnetic resonance imaging (MRI) and magnetoencephalogram (MEG) neuroimaging systems to be applied to studies of mental illness. This important task was carried out by Minds initial collaborators: Massachusetts General Hospitals Martinos Biomedical Imaging Center (Harvard and MIT), the University of Minnesota, the University of New Mexico, and Los Alamos National Laboratory. Since both the Network and the mission have expanded beyond building neuroimaging tools, a comprehensive understanding of mental illness and more fundamental and systematic understanding of the brain, is possible. The MRN Mobile Imaging system is a custom designed one-of-a-kind facility.
Proper citation: Mind Research Network (RRID:SCR_002925) Copy
http://bionimbus.opensciencedatacloud.org/
A cloud-based infrastructure for managing, analyzing and sharing genomics datasets.
Proper citation: Bionimbus (RRID:SCR_001189) Copy
http://www.cns.atr.jp/dni/en/downloads/tools-for-brain-behavior-data-sharing/
This is MATLAB library to create Neuroshare data format. You can convert your own data into Neuroshare format file.
Proper citation: Matlab Neuroshare Library (RRID:SCR_006957) Copy
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
A not for profit organization to accelerate research into aging by sharing resources: providing access to cost and time effective, aged murine tissue through a biorepository and database of live ageing colonies, as well as promoting the networking of researchers and dissemination of knowledge through its online collaborative environment; MiCEPACE. ShARM will provide valuable resources for the scientific community while helping to reduce the number of animals used in vital research into aging. The biobank of tissue and networking facility will enable scientists to access shared research material and data. By making use of collective resources, the number of individual animals required in research experiments can be minimized. The project also has the added value of helping to reduce the costs of research by connecting scientists, pooling resource and combining knowledge. ShARM works in partnership with MRC Harwell and the Centre for Intergrated Research into Musculoskeletal Ageing (CIMA).
Proper citation: ShARM (RRID:SCR_003120) Copy
Platform for sharing data, with very large storage capability for electrophysiological data, EEG data is included. This service is provided for neuroscientists to facilitate data access, data storage, data analysis and data sharing. This service is developed and maintained by the German Node of the International Neuroinformatics Coordinating Facility. The global scale of neuroinformatics offers unprecedented opportunities for scientific collaborations between and among experimental and theoretical neuroscientists. To fully harvest these possibilities, coordinated activities are required to improve key ingredients of neuroscience: data access, data storage, and data analysis, together with supporting activities for teaching and training. Focusing on the development and free distribution of tools for handling and analyzing neurophysiological data, G-Node aims at addressing these aspects as part of the International Neuroinformatics Coordination Facility (INCF) and the German Bernstein Network for Computational Neuroscience (NNCN). G-Node also serves as an international forum for Computational Neuroscientists that are interested in sharing experimental data and tools for data analysis and modeling. G-Node is funded through the German Federal Ministry of Education and Research and hosted by Ludwig-Maximilians-Universit-Munchen.
Proper citation: G-node portal electrophysiology data sharing (RRID:SCR_008893) Copy
Community portal for researchers and content management system for data and databases. Intended to provide common source of data to research community and data about Research Resource Identifiers (RRIDs), which can be used in scientific publications. Central service where RRIDs can be searched and created. Designed to help communities of researchers create their own portals to provide access to resources, databases and tools of relevance to their research areas. Adds value to existing scientific resources by increasing their discoverability, accessibility, visibility, utility and interoperability, regardless of their current design or capabilities and without need for extensive redesign of their components or information models. Resources can be searched and discovered at multiple levels of integration, from superficial discovery based on limited description of resource at SciCrunch Registry, to deep content query at SciCrunch Data Federation.
Proper citation: SciCrunch (RRID:SCR_003115) Copy
Data archive of more than 500,000 files of research in the social sciences, hosting 16 specialized collections of data in education, aging, criminal justice, substance abuse, terrorism, and other fields. ICPSR comprises a consortium of about 700 academic institutions and research organizations providing training in data access, curation, and methods of analysis for the social science research community. ICPSR welcomes and encourages deposits of digital data. ICPSR's educational activities include the Summer Program in Quantitative Methods of Social Research external link, a comprehensive curriculum of intensive courses in research design, statistics, data analysis, and social methodology. ICPSR also leads several initiatives that encourage use of data in teaching, particularly for undergraduate instruction. ICPSR-sponsored research focuses on the emerging challenges of digital curation and data science. ICPSR researchers also examine substantive issues related to our collections, with an emphasis on historical demography and the environment.
Proper citation: Inter-university Consortium for Political and Social Research (ICPSR) (RRID:SCR_003194) Copy
https://www.ddbj.nig.ac.jp/jga/index-e.html
A service for permanent archiving and sharing of all types of personally identifiable genetic and phenotypic data resulting from biomedical research projects. The JGA contains exclusive data collected from individuals whose consent agreements authorize data release only for specific research use or to bona fide researchers. Strict protocols govern how information is managed, stored and distributed by the JGA. Once processed, all data are encrypted. The JGA accepts only de-identified data approved by JST-NBDC. The JGA implements access-granting policy whereby the decisions of who will be granted access to the data resides with the JST-NBDC. After data submission the JGA team will process the data into databases and archive the original data files. The accepted data types include manufacturer-specific raw data formats from the array-based and new sequencing platforms. The processed data such as the genotype and structural variants or any summary level statistical analyses from the original study authors are stored in databases. The JGA also accepts and distributes any phenotype data associated with the samples. For other human biological data, please contact the NBDC human data ethical committee.
Proper citation: Japanese Genotype-phenotype Archive (JGA) (RRID:SCR_003118) Copy
Platform to support research and enable collaboration. Used to discover projects, data, materials, and collaborators helpful to your own research.
Proper citation: Open Science Framework (RRID:SCR_003238) Copy
Computing resources structural biologists need to discover the shapes of the molecules of life, it provides access to web-enabled structural biology applications, data sharing facilities, biological data sets, and other resources valuable to the computational structural biology community. Consortium includes X-ray crystallography, NMR and electron microscopy laboratories worldwide.SBGrid Service Center is located at Harvard Medical School.SBGrid's NIH-compliant Service Center supports SBGrid operations and provides members with access to Software Maintenance, Computing Access, and Training. Consortium benefits include: * remote management of your customized collection of structural biology applications on Linux and Mac workstations; * access to commercial applications exclusively licensed to members of the Consortium, such as NMRPipe, Schrodinger Suite (limited tokens) and the Incentive version of Pymol; remote management of supporting scientific applications (e.g., bioinformatics, computational chemistry and utilities); * access to SBGrid seminars and events; and * advice about hardware configurations, operating system installations and high performance computing. Membership is restricted to academic/non-profit research laboratories that use X-ray crystallography, 2D crystallography, NMR, EM, tomography and other experimental structural biology technologies in their research. Most new members are fully integrated with SBGrid within 2 weeks of the initial application.
Proper citation: Structural Biology Grid (RRID:SCR_003511) Copy
Repository for EEG data. The International Epilepsy Electrophysiology Portal is a collaborative initiative funded by the National Institutes of Neurological Disease and Stroke. This initiative seeks to advance research towards the understanding of epilepsy by providing a platform for sharing data, tools and expertise between researchers. The portal includes a large database of scientific data and tools to analyze these datasets.
Proper citation: ieeg.org (RRID:SCR_010000) Copy
A project that aims to improve access to human health data by developing a common information framework (EMIF-Platform) that allows for efficient re-use of existing health data, opening up new avenues of research for scientists. To ensure immediate applicability, the project includes two specific therapeutic research topics: the onset of Alzheimer's Disease (EMIF-AD) and metabolic complications of obesity (EMIF-Metabolics). The AD Topic aims to discover and validate biomarkers of AD onset in the preclinical and prodromal phase as well as for disease progression and identify high-risk individuals for therapeutic trials for prevention. The Metabolic Topic aims to discover and evaluate biomarkers for the risk of metabolic complications in obesity and to identify high-risk populations for intervention purposes. Collaboration between the 3 topics will ensure the development and delivery of an efficient Information Framework. This initiative has combined several data sets for neuroimaging including ADNI and several others, curating them into transmart.
Proper citation: EMIF (RRID:SCR_010495) Copy
Community portal for a distributed data sharing platform and open protocol for building apps. The Dat Project imagines a web of commons created by global communities on open and secure protocols.
Proper citation: Dat Project (RRID:SCR_015779) Copy
Standard specification for organizing and describing outputs of neuroimaging experiments. Used to organize and describe neuroimaging and behavioral data by neuroscientific community as standard to organize and share data. BIDS prescribes file naming conventions and folder structure to store data in set of already existing file formats. Provides standardized templates to store associated metadata in form of Javascript Object Notation (JSON) and tab-separated value (TSV) files. Facilitates data sharing, metadata querying, and enables automatic data analysis pipelines. System to curate, aggregate, and annotate neuroimaging databases. Intended for magnetic resonance imaging data, magnetoencephalography data, electroencephalography data, and intracranial encephalography data.
Proper citation: Brain Imaging Data Structure (BIDs) (RRID:SCR_016124) Copy
https://ida.loni.usc.edu/login.jsp
Archive used for archiving, searching, sharing, tracking and disseminating neuroimaging and related clinical data. IDA is utilized for dozens of neuroimaging research projects across North America and Europe and accommodates MRI, PET, MRA, DTI and other imaging modalities.
Proper citation: LONI Image and Data Archive (RRID:SCR_007283) Copy
A forum for preclinical data sharing and interpretation to enhance its utility for clinical research and development. The forum allows researchers to communicate and collaborate on modern preclinical issues and data sharing.
Proper citation: Preclinical Data Forum Network (RRID:SCR_014545) Copy
http://umcd.humanconnectomeproject.org
Web-based repository and analysis site for connectivity matrices that have been derived from neuroimaging data including different imaging modalities, subject groups, and studies. Users can analyze connectivity matrices that have been shared publicly and upload their own matrices to share or analyze privately.
Proper citation: USC Multimodal Connectivity Database (RRID:SCR_012809) Copy
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