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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   

•   Source: SciCrunch Registry

https://arvados.org/

Bioinformatics platform for storing, organizing, processing, and sharing genomic and other biomedical big data. Designed to make it easier for bioinformaticians to develop analyses, developers to create genomic web applications and IT administers to manage large-scale compute and storage genomic resources. Designed to run on top of cloud operating systems such as Amazon Web Services and OpenStack. Currently, there are implementations that work on AWS and Xen+Debian/Ubuntu. Functionally, Arvados has two major sets of capabilities: (a) data management and (b) compute management.

Proper citation: Arvados (RRID:SCR_002223) Copy   

•   Source: SciCrunch Registry

http://his.cuahsi.org/

An internet-based system for sharing hydrologic data. It is comprised of databases and servers, connected through web services, to client applications, allowing for the publication, discovery and access of data.

Proper citation: CUAHSI Hydrologic Information System (RRID:SCR_002197) Copy   

•   Source: SciCrunch Registry

http://www.neotomadb.org/

Paleoecology database for plio-pleistocene to holocene fossil data with a centralized structure for interdisciplinary, multiproxy analyses and common tool development; discipline-specific data can also be easily accessed. Data currently include North American Pollen (NAPD) and fossil mammals (FAUNMAP). Other proxies (plant macrofossils, beetles, ostracodes, diatoms, etc.) and geographic areas (Europe, Latin America, etc.) will be added in the near future. Data are derived from sites from the last 5 million years.

Proper citation: Neotoma Paleoecology Database (RRID:SCR_002190) Copy   

•   Source: SciCrunch Registry

http://www.opendoar.org/

A quality-controlled directory of academic open access repositories that provides a simple repository list, and lets you search for repositories or search repository contents. Additionally, tools and support to both repository administrators and service providers in sharing best practice and improving the quality of the repository infrastructure are provided. The current directory lists repositories and allows breakdown and selection by a variety of criteria which can also be viewed as statistical charts. The underlying database has been designed from the ground up to include in-depth information on each repository that can be used for search, analysis, or underpinning services like text-mining.

Proper citation: OpenDOAR (RRID:SCR_002641) Copy   

•   Source: SciCrunch Registry

http://jcb-dataviewer.rupress.org/

A web-based, multi-dimensional image data-viewing application for original microscopy image datasets associated with articles published in The Journal of Cell Biology, a peer-reviewed journal published by The Rockefeller University Press. The JCB DataViewer can host multidimensional fluorescence microscopy images, 3D tomogram data, very large (gigapixel) images, and high content imaging screens. Images are presented in an interactive viewer, and the scores from high content screens are presented in interactive graphs with data points linked to the relevant images. The JCB DataViewer uses the Bio-Formats library to read over 120 different imaging file formats and convert them to the OME-TIFF image data standard. Image data are archived by the Journal and may be freely accessed by readers using the JCB DataViewer. Download of author-provided image data and associated metadata in OME-TIFF format is also possible with author permission, allowing for independent analysis of image data irrespective of acquisition or viewing software. Although the JCB DataViewer is designed to host and facilitate sharing and analysis of original microscopy image data, authors may also upload other types of original image data as supplements to their manuscripts, including histology and electron micrographs and digital scans of gels or blots.

Proper citation: JCB DataViewer (RRID:SCR_002633) Copy   

•   Source: SciCrunch Registry

https://www.data.casearth.cn/

Portal built for the release and sharing of data resources of "Big Earth Data Science Engineering Program (CASEarth)" launched by the Chinese Academy of Sciences. A global raster data of land cover and land use. This data can be used for mapping and spatial modeling in Geographic Information Systems (GIS) or other computer programs. This website is not accessible from the USA.

Proper citation: Chinese CASEarth Data Sharing and Service Portal (RRID:SCR_025660) Copy   

•   Source: SciCrunch Registry

http://genomicsandhealth.org/

An international coalition formed to enable the sharing of genomic and clinical data to help unlock potential advancements in medicine and science. Bringing together more than 145 leading institutions working in healthcare, research, disease advocacy, life science, and information technology, the Global Alliance is working together to create and promulgate harmonized approaches to enable the responsible, voluntary, and secure sharing of genomic and clinical data.

Proper citation: Global Alliance for Genomics and Health (RRID:SCR_003555) Copy   

•   Source: SciCrunch Registry

http://www.patientslikeme.com/

A for-profit health data-sharing platform that can transform the way patients manage their conditions, change the way industry conducts research and improve patient care. PatientsLikeMe aligns patient and industry interests through data-sharing partnerships. They work with trusted nonprofit, research and industry Partners who use this health data to improve products, services and care for patients. They take the information patients share about their experience with the disease and sell it to their partners (i.e., companies that are developing or selling products to patients). These products may include drugs, devices, equipment, insurance, and medical services. Except for the restricted personal information entered when registering for the site, participants should expect that every piece of information submitted (even if it is not currently displayed) may be shared with their partners and any member of PatientsLikeMe, including other patients. They do not rent, sell or share personally identifiable information for marketing purposes or without explicit consent. Because they believe in transparency, they tell members exactly what they do and do not do with their data. Patients have the opportunity to share both personal stories and health data about their conditions to help uncover great ideas and new knowledge. By sharing information on the site, they can put their disease experiences in context and find answers to the questions they have. Every partnership we develop must bring them closer to aligning patient and industry interests. Their end goal is improved patient care and quality of life.

Proper citation: PatientsLikeMe (RRID:SCR_003781) Copy   

•   Source: SciCrunch Registry

https://sites.google.com/site/beyondthepdf/workshop-papers/beyond-the-dead-sea-pdfs

A standard next-generation paper (NGP) digital format for reading and digitally archiving scientific research papers to offer better imaging, data sharing and an improved reading experience. The NGP format is designed to retain traditional elements (i.e. Abstract, Introduction, etc.). Papers are viewed using any web browser running on any computing platform, including mobile devices. A button menu system provides navigation between pages. The format provides a more streamlined reading experience by providing as much information to the reader inline as possible, without requiring the user to skip between pages. To accomplish this, pop-up figure and reference details provide additional information without disrupting the flow of the paper. Clicking on standard figure data reveals full-resolution images, and live web links can be optionally followed from pop-up citations or inline links for additional information. Multimedia, such as hi-definition video or audio clips, is easily embedded within the new NGP format. The reader may also customize their reading experience by selecting alternative text and background color themes. The NGP format was created using non-proprietary open-source software including HTML and Javascript, and can be packaged to run offline independent of a live Internet connection. Data are fully captured and communicated utilizing the latest technologies available. The SCORE Imaging (Petzold et al.) paper was submitted to the publisher using this format to take advantage of its superior technical capabilities (http://zfishbook.org/NGP/).

Proper citation: NPG publishing format (RRID:SCR_000201) Copy   

•   Source: SciCrunch Registry

http://dataver.net/

DataVer is the premier data management verification service for scientific data. DataVer''s data management plan (DMP) Compliance Review and the companion Star Ratings will bring transparency to the investigator''s compliance with data management and sharing guidelines on a grant by grant basis. DataVer will accomplish this through 1) open publication of its review standards and procedures that it applies to all submitted grants and 2) openly report the results of its findings through its web portal so anyone can look up the compliance history of an investigator or lab. The Data Management Plan. The NIH and the NSF typically require a DMP detailing data types and quantity, its storage duration, and plans for making the data accessible to fellow scientists. The DMP is supposed to meet their published guidelines outlining the data management and sharing requirements to which the PI must agree as a condition of funding. The compliance record to date is less than ideal.. Institutional funders may not require a specific DMP as such but many have specific requirements for data management and post-grant data availability. While a specific DMP as such may not be produced for these grants, the data management and sharing is expected to comport with the funders'' guidelines. To date, there are no standardized or uniform means to track or assess the compliance of the investigator with the DMP or published guidelines. While individual institutions have tasked program managers with monitoring the compliance, the process is not uniform and the data stays within the specific institute, unavailable for other granting institutes or foundations. What DataVer does. DataVer offers two services with variations. First, it offers a DMP (or funder guideline) compliance review. For this DataVer compares the actual data management and data sharing of the grant funded data to the approved DMP and with the guidelines its funding agency(s). Second, DataVer rates the actual usability and accessibility of the data based on its own published standards on a three star rating scale. This indicates at a glance how well the data is organized and whether it''s available for reuse by an outside investigator. These procedures give the funders and the scientific community accurate, standardized and timely reports on an investigators'' data storage and data sharing in a publicly available database. We at DataVer believe this light, cast on actual data openness, will further encourage increased care in data management and archiving as well as increased data sharing. This openness and transparency will be a positive means to increase data management plan and guideline compliance, and will stimulate increased attention to the accessibility and usability of the data, so important to its reuse. We will offer a means by which universities, investigators, research facilities, and data repositories can obtain a compliance certification for consistently setting a high standard of data accessibility and usability across multiple grants. This certification is a means by which these stakeholders can demonstrate their achievement in support of data sharing. Grantors will be able to see an institution or facility''s pattern of compliance when deciding where to spend their limited resources.

Proper citation: DataVer (RRID:SCR_005954) Copy   

•   Source: SciCrunch Registry

http://www.genestack.com

A universal collaborative platform for bioinformatics application development that allows users to store and share large data sets securely within and across organizations, with free access to public data from major databases. The platform includes open-source and proprietary genomics applications, working together independent of file formats. For developers an SDK, APIs and a marketplace are provided.

Proper citation: Genestack (RRID:SCR_011885) Copy   

•   Source: SciCrunch Registry

https://www.iprox.cn/

Integrated proteome resources center in China to accelerate data sharing in proteomics. Composed of data submission system and proteome database. Submission system is established under the guidance of data-sharing policy made by ProteomeXchange consortium. Registered users can submit their proteomic datasets to iProX in public or private modes. Once associated manuscript has been published, dataset becomes automatically public.

Proper citation: Integrated Proteome Resources (RRID:SCR_026109) Copy   

•   Source: SciCrunch Registry

http://www.neuinfo.org/developers/nif_web_services.shtm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Representational State Transfer (REST) model based service for accessing a set of Neuroscience Information Framework (NIF) data through a fixed set of operations. They are defined by a WADL file which allows clients to automatically generate code for these services. The services (AnnotateService, FederationService, LdaService, LexicalService, LiteratureService, QueryService, SummaryService, VocabularyService) include the ability to: * Retrieve a federation summary, e.g., http://nif-services.neuinfo.org/servicesv1/v1/summary?q=* * Retrieve data records from a NIF federation source for a search, e.g., http://nif-services.neuinfo.org/servicesv1/v1/federation/data/nif-0000-00007-1?q=purkinje * Retrieve registry data records from NIF, e.g., http://nif-services.neuinfo.org/servicesv1/v1/federation/data/nlx_144509-1?q=miame * Retrieve a complete search summary, e.g., http://nif-services.neuinfo.org/servicesv1/v1/federation/search?q=cortex * Retrieve NIF auto-complete suggestions, e.g., http://nif-services.neuinfo.org/servicesv1/v1/vocabulary?prefix=hippo * Use the NIF annotator for arbitrary text, e.g., http://nif-services.neuinfo.org/servicesv1/v1/annotate?content=The%20cerebellum%20is%20a%20wonderful%20thing These services are documented for developers in the WADL file (and client stubs should have the comments embedded in them). Visit, http://nif-services.neuinfo.org/servicesv1/ for more information

Proper citation: NIF Web Services (RRID:SCR_001631) Copy   

•   Source: SciCrunch Registry

http://www.adcs.org/

An initiative for Alzheimer's disease clinical studies that works to facilitate the discovery, development and testing of new drugs, and is a part of the Alzheimer's Disease Prevention Initiative. This resource has an emphasis on expanding the range of its patients, mainly by enhancing the recruitment of minority groups. There is a further emphasis placed on testing agents that cannot be patented, as well as developing novel compounds that had been developed by individuals, academic institutions and drug discovery units. This resource also helps in the development of Alzheimer's disease centers to carry out studies, as well as establish administrative, data, operations and medical cores in San Diego. This organization is specifically involved in studies demonstrating the lack of benefit associated, previously used treatments such as: the use of estrogen, non-steroidal anti-inflammatory drugs, B vitamins and a statin drug. The Alzheimer's Disease Cooperative Study also develops assessment instruments to be used in clinical trials. The most frequently used of these tools include: the Alzheimer's Disease Assessment Scale-Cognitive sub-scale (ADAS-cog), Activities of Daily Living (ADL), and the Clinical Global Impression of Change Scale (CGIC). There is also an associated tissue bank at UCSD that includes materials from the clinical trials including: human tissue, blood, plasma, DNA, urine and cerebrospinal fluid.

Proper citation: Alzheimer's Disease Cooperative Study (RRID:SCR_008254) Copy   

•   Source: SciCrunch Registry

https://github.com/SD-Jiang/MorphoHub

Software package to streamline workflow of imaging data management, visualization, reconstruction and collaboration, and data sharing.

Proper citation: MorphoHub (RRID:SCR_022817) Copy   

•   Source: SciCrunch Registry

http://www.esri.com/software/arcgis/arcgis-for-desktop

Geographical information system software produced by Esri.

Proper citation: ArcGIS for Desktop Basic (RRID:SCR_011081) Copy   

•   Source: SciCrunch Registry

http://www.ebisc.org/

Consortium to address the increasing demand by researchers for quality-controlled, disease-relevant research grade induced Pluripotent Stem Cell (iPSC) lines, data and cell services by demonstrating an operational banking and distribution service of iPSC lines after 3 years and establishing subsequently for Europe a centralized, not-for-profit bank providing all qualified users with access to scalable, cost-efficient and customized products. The main facility will be at the Babraham Research Campus (Cambridge, UK) and will undertake cell expansion, QC and characterization. The European Cell Culture Collection (ECACC) of Public Health England (Department of Health, UK) will coordinate cell line distribution. The Fraunhofer IBMT (Saarbr��cken, Germany) will provide comprehensive operational back up. In a phased business strategy EBiSC will hot-start distribution of lines contributed by iPSC Centres in 2014, lines collected based on specified user demand, will reach full scale operations in 2016, and with extended funding will become self-sustaining as a not for profit banking operation by 2019. EBiSC will spearhead Europe in the international standardization of iPSC banking by forging collaborative links with similar endeavors in the USA and Asia. It will also provide training to encourage adoption and use of the bank. The project has up to one year after completion to disseminate intellectual property or data created by the project.

Proper citation: EBiSC (RRID:SCR_003856) Copy   

•   Source: SciCrunch Registry

http://brainml.org/goto.do?page=.home

Set of standards and practices for using XML to facilitate information exchange between user application software and neuroscience data repositories. It allows for common shared library routines to handle most of the data processing, but also supports use of structures specialized to the needs of particular neuroscience communities. This site also serves as a repository for BrainML models. (A BrainML model is an XML Schema and optional vocabulary files describing a data model for electronic representation of neuroscience data, including data types, formats, and controlled vocabulary. ) It focuses on layered definitions built over a common core in order to support community-driven extension. One such extension is provided by the new NIH-supported neuroinformatics initiative of the Society for Neuroscience, which supports the development of expert-derived terminology sets for several areas of neuroscience. Under a cooperative agreement, these term lists will be made available Open Source on this site.
The repository function of this site includes the following features:
* BrainML models are published in searchable, browsable form.
* Registered users may submit new models or new versions of existing models to accommodate data of interest. * BrainML model schema and vocabulary files are made available at fixed URLs to allow software applications to reference them.
* Users can check models and/or instance documents for correct format before submitting them using an online validation service.
To complement the BrainML modeling language, a set of protocols have been developed for BrainML document exchange between repositories and clients, for indexing of repositories, and for data query.

Proper citation: BrainML (RRID:SCR_007087) Copy   

•   Source: SciCrunch Registry

http://mipav.cit.nih.gov

A Java-based application that enables quantitative analysis and visualization of medical images of numerous modalities such as DTI, PET, MRI, CT, or microscopy. Using MIPAV's standard user-interface and analysis tools, researchers at remote sites (via the internet) can easily share research data and analyses, thereby enhancing their ability to research, diagnose, monitor, and treat medical disorders. MIPAV can be run on any Java-enabled platform such as Windows, UNIX, or Macintosh OS X. Functionality includes segmentation, inter- and intra multi-modality registration, surface rendering, volume rendering and reading and writing a large number of biomedical file formats including: DICOM 3.0, Analyze, NIFTI, SPM, MINC, Phillips, GE, Zeiss, Biorad, jpeg, png, tiff, mrc, fits, interfile, and many more.

Proper citation: MIPAV: Medical Image Processing and Visualization (RRID:SCR_007371) Copy   

•   Source: SciCrunch Registry