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Cohen, Richard G. Cotton, IFM de Coo, Olga Derbenevoa, Johan T. den Dunnen, David Dimmock, Gregory  Enns, Giuseppe Gasparre,; Amy Goldstein, Iris Gonzalez, Katrina Gwinn, Sihoun Hahn, Richard H. Haas, Hakon Hakonarson, Michio Hirano, Douglas Kerr, Dong Li, Maria Lvova, Finley Macrae, Donna Maglott, Elizabeth McCormick, Grant Mitchell, Vamsi K. Mootha, Yasushi Okazaki,; Aurora Pujol, Melissa Parisi, Juan Carlos Perin, Eric A. Pierce, Vincent Procaccio, Shamima Rahman, Honey Reddi, Heidi Rehm, Erin Riggs, Richard Rodenburg, Yaffa Rubinstein, Russell Saneto, Mariangela Santorsola, Curt Scharfe,; Claire Sheldon, Eric A. Shoubridge, Domenico Simone, Bert Smeets, Jan A. Smeitink, Christine Stanley, Anu Suomalainen, Mark Tarnopolsky, Isabelle Thiffault, David R. 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The figure below shows a fictitious medical device label and identifies the GUDID data elements that appear on the label. 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Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.", "description": "This FAIRsharing record describes: The Global Unique Device Identification Database (GUDID - pronounced \"Good ID\") is a database administered by the FDA as part of the UDI system. The GUDID contains device identification information submitted by device companies to the FDA. The GUDID contains ONLY the Device Identifier (DI), which serves as the primary key to obtain information in the database. Production Identifiers (PI) are not submitted to or stored in the GUDID, but GUDID data indicates which PIs are on the device label. Many data elements in the GUDID correspond to information on the medical device label. The figure below shows a fictitious medical device label and identifies the GUDID data elements that appear on the label. Please refer to the FDA UDI website for more information about GUDID data elements.", "publications": [{"id": 1026, "pubmed_id": 25262248, "title": "Unique device identifiers for coronary stent postmarket surveillance and research: a report from the Food and Drug Administration Medical Device Epidemiology Network Unique Device Identifier demonstration.", "year": 2014, "url": "http://doi.org/10.1016/j.ahj.2014.07.001", "authors": "Tcheng JE,Crowley J,Tomes M,Reed TL,Dudas JM,Thompson KP,Garratt KN,Drozda JP Jr", "journal": "Am Heart J", "doi": "10.1016/j.ahj.2014.07.001", "created_at": "2021-09-30T08:24:13.597Z", "updated_at": "2021-09-30T08:24:13.597Z"}, {"id": 1032, "pubmed_id": 24066364, "title": "Unique device identification system. 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{"id": "2275", "type": "fairsharing-records", "attributes": {"created-at": "2016-04-12T13:15:57.000Z", "updated-at": "2021-11-24T13:17:51.124Z", "metadata": {"doi": "10.25504/FAIRsharing.yfk4w2", "name": "Genomics England | PanelApp", "status": "ready", "contacts": [{"contact-name": "PanelApp team", "contact-email": "panelapp@genomicsengland.co.uk"}], "homepage": "https://panelapp.genomicsengland.co.uk/", "identifier": 2275, "description": "Genomics England PanelApp is a publically-available knowledgebase that allows virtual gene panels related to human disorders to be created, stored and queried. It includes a crowdsourcing tool that allows genes to be added or reviewed by experts throughout the worldwide scientific community, providing an opportunity for the standardisation of gene panels, and a consensus on which genes have sufficient evidence for disease association. The diagnostic grade \u2018Green\u2019 genes and their modes of inheritance in the Version 1+ PanelApp virtual gene panels are used to direct the variant tiering process for the interpretation of genomes in the 100,000 Genomes Project and for the National Health Service England Genomic Medicine Service. As panels in PanelApp are publically available, they can also be utilised by others. Experts are asked to register (https://panelapp.genomicsengland.co.uk/accounts/registration/) in order to review and rate the genes on the panel to indicate whether there is a diagnostic-grade level of evidence for the gene to be implicated in a given disease. Bioinformaticians can access the data via the PanelApp API (https://panelapp.genomicsengland.co.uk/#!API). 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Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.", "description": "This FAIRsharing record describes: Genomics England PanelApp is a publically-available knowledgebase that allows virtual gene panels related to human disorders to be created, stored and queried. It includes a crowdsourcing tool that allows genes to be added or reviewed by experts throughout the worldwide scientific community, providing an opportunity for the standardisation of gene panels, and a consensus on which genes have sufficient evidence for disease association. The diagnostic grade \u2018Green\u2019 genes and their modes of inheritance in the Version 1+ PanelApp virtual gene panels are used to direct the variant tiering process for the interpretation of genomes in the 100,000 Genomes Project and for the National Health Service England Genomic Medicine Service. As panels in PanelApp are publically available, they can also be utilised by others. Experts are asked to register (https://panelapp.genomicsengland.co.uk/accounts/registration/) in order to review and rate the genes on the panel to indicate whether there is a diagnostic-grade level of evidence for the gene to be implicated in a given disease. Bioinformaticians can access the data via the PanelApp API (https://panelapp.genomicsengland.co.uk/#!API). 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CivicLEADS includes datasets from other ICPSR archives and seeks out emerging data collected by studies still in the field. Beyond facilitating the sharing and discovery of data, CivicLEADS seeks to create a learning community around civic education and engagement research. We strive to form relationships with and between investigators and researchers at every level\u2014from students to emeriti faculty. Data shared in this archive have been documented with thorough metadata, and tools drawing upon these metadata allow researchers to explore and compare variables both within and between studies. By providing tutorials, webinars, and in-person training, CivicLEADS connects researchers with data and facilitates the future of civic education and civic action research.", "publications": [], "licence-links": [], "url-for-logo": null}}
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{"id": "2948", "type": "fairsharing-records", "attributes": {"created-at": "2020-04-15T07:17:37.000Z", "updated-at": "2021-11-24T13:16:10.879Z", "metadata": {"doi": "10.25504/FAIRsharing.KOiDmy", "name": "EMODnet Chemistry", "status": "ready", "contacts": [{"contact-name": "EMODnet", "contact-email": "secretariat@emodnet.eu"}], "homepage": "https://www.emodnet-chemistry.eu/", "identifier": 2948, "description": "The EMODnet Chemistry portal provides easy access to marine chemical data, standardised harmonized validated data collections and reliable data products, highly relevant to assess ecosystem status according to the Marine Strategy Framework Directive. 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Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.", "description": "This FAIRsharing record describes: The EMODnet Chemistry portal provides easy access to marine chemical data, standardised harmonized validated data collections and reliable data products, highly relevant to assess ecosystem status according to the Marine Strategy Framework Directive. Data on temporal and spatial distribution of marine litter, of the concentration of nutrients, organic matter, pesticides, heavy metals, radionuclides and antifoulants in the water column, in the sediment and in biota.", "publications": [{"id": 501, "pubmed_id": null, "title": "JRC Technical report: marine litter database", "year": 2019, "url": "http://doi.org/10.2760/621710", "authors": "EU publications", "journal": "Luxembourg: Publications Office of the European Union, 2018", "doi": "10.2760/621710", "created_at": "2021-09-30T08:23:14.415Z", "updated_at": "2021-09-30T11:28:29.493Z"}, {"id": 2862, "pubmed_id": null, "title": "JRC Technical Reports: EU marine beach litter baselines", "year": 2020, "url": "http://doi.org/10.2760/16903", "authors": "del Mar Chaves Montero, Maria\u00a0;\u00a0\u00a0Brosich, Alberto\u00a0;\u00a0\u00a0Hanke, Georg\u00a0;\u00a0\u00a0Loon, Willem van\u00a0;\u00a0\u00a0Addamo, Anna Maria\u00a0;\u00a0\u00a0Walvoort, Dennis\u00a0;\u00a0\u00a0Vinci, Matteo\u00a0;\u00a0\u00a0Molina Jack, Maria Eugenia\u00a0;\u00a0\u00a0Giorgetti, Alessandra", "journal": "Publications Office of the European Union, Luxemburg", "doi": "10.2760/16903", "created_at": "2021-09-30T08:27:52.129Z", "updated_at": "2021-09-30T11:28:37.877Z"}, {"id": 2863, "pubmed_id": null, "title": "EMODnet marine litter data management at pan-European scale", "year": 2019, "url": "http://doi.org/doi.org/10.1016/j.ocecoaman.2019.104930", "authors": "Maria Eugenia Molina Jack, Maria del Mar Chaves Montero, Fran\u00e7ois Galgani, Alessandra Giorgetti, Matteo Vinci, Morgan Le Moigne, Alberto Brosich", "journal": "Ocean & Coastal Management", "doi": "doi.org/10.1016/j.ocecoaman.2019.104930", "created_at": "2021-09-30T08:27:52.244Z", "updated_at": "2021-09-30T11:28:37.976Z"}, {"id": 2864, "pubmed_id": null, "title": "Toward the Integrated Marine Debris Observing System", "year": 2019, "url": "http://doi.org/10.3389/fmars.2019.00447", "authors": "Maximenko Nikolai, Corradi Paolo, Law Kara Lavender, Van Sebille Erik, Garaba Shungudzemwoyo P., Lampitt Richard Stephen, Galgani Francois, Martinez-Vicente Victor, Goddijn-Murphy Lonneke, Veiga Joana Mira, Thompson Richard C., Maes Christophe, Moller Delwyn, L\u00f6scher Carolin Regina, Addamo Anna Maria, Lamson Megan R., Centurioni Luca R., Posth Nicole R., Lumpkin Rick, Vinci Matteo, Martins Ana Maria, Pieper Catharina Diogo, Isobe Atsuhiko, Hanke Georg, Edwards Margo, Chubarenko Irina P., Rodriguez Ernesto, Aliani Stefano, Arias Manuel, Asner Gregory P., Brosich Alberto, Carlton James T., Chao Yi, Cook Anna-Marie, Cundy Andrew B., Galloway Tamara S., Giorgetti Alessandra, Goni Gustavo Jorge, Guichoux Yann, Haram Linsey E., Hardesty Britta Denise, Holdsworth Neil, Lebreton Laurent, Leslie Heather A., Macadam-Somer Ilan, Mace Thomas, Manuel Mark, Marsh Robert, Martinez Elodie, Mayor Daniel J., Le Moigne Morgan, Molina Jack Maria Eugenia, Mowlem Matt Charles, Obbard Rachel W., Pabortsava Katsiaryna, Robberson Bill, Rotaru Amelia-Elena, Ruiz Gregory M., Spedicato Maria Teresa, Thiel Martin, Turra Alexander, Wilcox Chris", "journal": "Frontiers in Marine Science", "doi": "10.3389/fmars.2019.00447", "created_at": "2021-09-30T08:27:52.419Z", "updated_at": "2021-09-30T11:28:38.068Z"}, {"id": 2865, "pubmed_id": null, "title": "The European Marine Observation and Data Network (EMODnet): Visions and Roles of the Gateway to Marine Data in Europe", "year": 2019, "url": "http://doi.org/10.3389/fmars.2019.00313", "authors": "Bel\u00e9n Mart\u00edn M\u00edguez, Antonio Novellino, Matteo Vinci,\u00a0Simon Claus,\u00a0Jan-Bart Calewaert,\u00a0Henry Vallius,\u00a0Thierry Schmitt,\u00a0Alessandro Pititto,\u00a0Alessandra Giorgetti,\u00a0Natalie Askew,\u00a0Sissy Iona,\u00a0Dick Schaap,\u00a0Nadia Pinardi,\u00a0Quillon Harpham,\u00a0Belinda J. 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These viewers rely upon the UCSC genome browser as a visualization platform, which enables users to view data tracks from EPD jointly with tracks from UCSC or public track hubs.", "publications": [{"id": 205, "pubmed_id": 9399872, "title": "The Eukaryotic Promoter Database EPD.", "year": 1998, "url": "http://doi.org/10.1093/nar/26.1.353", "authors": "Cavin P\u00e9rier R, Junier T, Bucher P.", "journal": "Nucleic Acid Res.", "doi": "10.1093/nar/26.1.353", "created_at": "2021-09-30T08:22:42.347Z", "updated_at": "2021-09-30T08:22:42.347Z"}, {"id": 681, "pubmed_id": 10592254, "title": "The eukaryotic promoter database (EPD).", "year": 1999, "url": "http://doi.org/10.1093/nar/28.1.302", "authors": "P\u00e9rier RC, Praz V, Junier T, Bonnard C, Bucher P.", "journal": "Nucleic Acid Res.", "doi": "10.1093/nar/28.1.302", "created_at": "2021-09-30T08:23:35.044Z", "updated_at": "2021-09-30T08:23:35.044Z"}, {"id": 683, "pubmed_id": 9847211, "title": "The Eukaryotic Promoter Database (EPD): recent developments.", "year": 1998, "url": "http://doi.org/10.1093/nar/27.1.307", "authors": "P\u00e9rier RC, Junier T, Bonnard C, Bucher P.", "journal": "Nucleic Acid Res.", "doi": "10.1093/nar/27.1.307", "created_at": "2021-09-30T08:23:35.294Z", "updated_at": "2021-09-30T08:23:35.294Z"}, {"id": 1428, "pubmed_id": 3808945, "title": "Compilation and analysis of eukaryotic POL II promoter sequences", "year": 1986, "url": "http://doi.org/10.1093/nar/14.24.10009", "authors": "Bucher,P. and Trifonov,E.N.", "journal": "Nucleic Acids Res.", "doi": "10.1093/nar/14.24.10009", "created_at": "2021-09-30T08:24:59.693Z", "updated_at": "2021-09-30T08:24:59.693Z"}, {"id": 1429, "pubmed_id": 25378343, "title": "The Eukaryotic Promoter Database: expansion of EPDnew and new promoter analysis tools.", "year": 2014, "url": "http://doi.org/10.1093/nar/gku1111", "authors": "Dreos, R., Ambrosini, G., P\u00e9rier, R., Bucher, P.", "journal": "Nucleic Acid Res.", "doi": "10.1093/nar/gku1111", "created_at": "2021-09-30T08:24:59.802Z", "updated_at": "2021-09-30T08:24:59.802Z"}, {"id": 2554, "pubmed_id": 23193273, "title": "EPD and EPDnew, high-quality promoter resources in the next-generation sequencing era.", "year": 2012, "url": "http://doi.org/10.1093/nar/gks1233", "authors": "Dreos R, Ambrosini G, Cavin P\u00e9rier R, Bucher P.", "journal": "Nucleic Acid Res.", "doi": "10.1093/nar/gks1233", "created_at": "2021-09-30T08:27:13.233Z", "updated_at": "2021-09-30T08:27:13.233Z"}, {"id": 2555, "pubmed_id": 16381980, "title": "EPD in its twentieth year: towards complete promoter coverage of selected model organisms.", "year": 2005, "url": "http://doi.org/10.1093/nar/gkj146", "authors": "Schmid CD, Perier R, Praz V, Bucher P.", "journal": "Nucleic Acid Res.", "doi": "10.1093/nar/gkj146", "created_at": "2021-09-30T08:27:13.343Z", "updated_at": "2021-09-30T08:27:13.343Z"}, {"id": 2557, "pubmed_id": 14681364, "title": "The Eukaryotic Promoter Database EPD: the impact of in silico primer extension.", "year": 2003, "url": "http://doi.org/10.1093/nar/gkh122", "authors": "Schmid CD, Praz V, Delorenzi M, P\u00e9rier R, Bucher P.", "journal": "Nucleic Acid Res.", "doi": "10.1093/nar/gkh122", "created_at": "2021-09-30T08:27:13.678Z", "updated_at": "2021-09-30T08:27:13.678Z"}, {"id": 2559, "pubmed_id": 11752326, "title": "The Eukaryotic Promoter Database, EPD: new entry types and links to gene expression data.", "year": 2001, "url": "http://doi.org/10.1093/nar/30.1.322", "authors": "Praz V, P\u00e9rier R, Bonnard C, Bucher P.", "journal": "Nucleic Acid Res.", "doi": "10.1093/nar/30.1.322", "created_at": "2021-09-30T08:27:13.894Z", "updated_at": "2021-09-30T08:27:13.894Z"}], "licence-links": [], "url-for-logo": null}}
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{"id": "2611", "type": "fairsharing-records", "attributes": {"created-at": "2018-07-02T21:11:53.000Z", "updated-at": "2021-11-24T13:19:36.497Z", "metadata": {"doi": "10.25504/FAIRsharing.QXSgvF", "name": "MirGeneDB.org", "status": "ready", "contacts": [{"contact-name": "Bastian Fromm", "contact-email": "BastianFromm@gmail.com", "contact-orcid": "0000-0003-0352-3037"}], "homepage": "http://mirgenedb.org", "citations": [{"doi": "10.1146/annurev-genet-120213-092023", "pubmed-id": 26473382, "publication-id": 923}], "identifier": 2611, "description": "MirGeneDB is a database of microRNA genes that have been validated and annotated as described in \"A Uniform System for the Annotation of Vertebrate microRNA Genes and the Evolution of the Human microRNAome\".* The initial version contained 1,434 microRNA genes for human, mouse, chicken and zebrafish. 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The Gateway includes the ability to search for research projects, publications and health data tools, such as those related to COVID-19. New interactive features provide a community forum for researchers to collaborate and connect and the ability to add research projects. The Innovation Gateway does not hold or store any datasets or patient or health data but rather acts as a portal to allow discovery of datasets and to request access to them for health research. A dataset is a collection of related individual pieces of data but in the case of health data, identifiable information (e.g. name or NHS number) is removed and data is de-identified where possible. When you access the Gateway you will not be able to view or extract the data itself. Instead, you will be able to see information that describes what the different datasets are (e.g. where the dataset has come from, a description of the dataset, the time period and the geographical areas the dataset covers). In order to access the data, you will need to sign in and then follow the access request process. Only once your request has been through the process to ensure your application meets all of the requirements and is approved by the data controller will you be able to access the data. Your access to the data will be provided outside of the Gateway in line with the processes of the data controller - read through our FAQs for more information on the process. The datasets that are discoverable through the Innovation Gateway are from organisations in the NHS, research institutes and charities, which are part of the UK Health Data Research Alliance. You can find out more about its members on the UK Health Data Research Alliance website. 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The Innovation Gateway does not hold or store any datasets or patient or health data but rather acts as a portal to allow discovery of datasets and to request access to them for health research. A dataset is a collection of related individual pieces of data but in the case of health data, identifiable information (e.g. name or NHS number) is removed and data is de-identified where possible. When you access the Gateway you will not be able to view or extract the data itself. Instead, you will be able to see information that describes what the different datasets are (e.g. where the dataset has come from, a description of the dataset, the time period and the geographical areas the dataset covers). In order to access the data, you will need to sign in and then follow the access request process. Only once your request has been through the process to ensure your application meets all of the requirements and is approved by the data controller will you be able to access the data. Your access to the data will be provided outside of the Gateway in line with the processes of the data controller - read through our FAQs for more information on the process. The datasets that are discoverable through the Innovation Gateway are from organisations in the NHS, research institutes and charities, which are part of the UK Health Data Research Alliance. You can find out more about its members on the UK Health Data Research Alliance website. The information provided about the datasets has been provided by the relevant data controller and is continually updated.", "publications": [], "licence-links": [{"licence-name": "HDR UK Terms and Conditions", "licence-id": 384, "link-id": 2378, "relation": "undefined"}], "url-for-logo": null}}
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