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1.
Adv Genet (Hoboken) ; 3(4): 2200027, 2022 Dec.
Article in English | MEDLINE | ID: mdl-36911289

ABSTRACT

[This corrects the article DOI: 10.1002/ggn2.10016.].

2.
Adv Genet (Hoboken) ; 2(2): e10049, 2021 Jun.
Article in English | MEDLINE | ID: mdl-36618125
3.
Adv Genet (Hoboken) ; 2(1): e10041, 2021 Mar.
Article in English | MEDLINE | ID: mdl-36618445
4.
Adv Genet (Hoboken) ; 1(1): e10016, 2020 Dec.
Article in English | MEDLINE | ID: mdl-36619251
6.
Nat Genet ; 50(4): 473, 2018 04.
Article in English | MEDLINE | ID: mdl-29632375
7.
Sci Data ; 3: 160018, 2016 Mar 15.
Article in English | MEDLINE | ID: mdl-26978244

ABSTRACT

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.


Subject(s)
Data Collection , Data Curation , Research Design , Database Management Systems , Guidelines as Topic , Reproducibility of Results
8.
Hum Mutat ; 31(12): 1374-81, 2010 Dec.
Article in English | MEDLINE | ID: mdl-20960468

ABSTRACT

The third Human Variome Project (HVP) Meeting "Integration and Implementation" was held under UNESCO Patronage in Paris, France, at the UNESCO Headquarters May 10-14, 2010. The major aims of the HVP are the collection, curation, and distribution of all human genetic variation affecting health. The HVP has drawn together disparate groups, by country, gene of interest, and expertise, who are working for the common good with the shared goal of pushing the boundaries of the human variome and collaborating to avoid unnecessary duplication. The meeting addressed the 12 key areas that form the current framework of HVP activities: Ethics; Nomenclature and Standards; Publication, Credit and Incentives; Data Collection from Clinics; Overall Data Integration and Access-Peripheral Systems/Software; Data Collection from Laboratories; Assessment of Pathogenicity; Country Specific Collection; Translation to Healthcare and Personalized Medicine; Data Transfer, Databasing, and Curation; Overall Data Integration and Access-Central Systems; and Funding Mechanisms and Sustainability. In addition, three societies that support the goals and the mission of HVP also held their own Workshops with the view to advance disease-specific variation data collection and utilization: the International Society for Gastrointestinal Hereditary Tumours, the Micronutrient Genomics Project, and the Neurogenetics Consortium.


Subject(s)
Genetic Variation/genetics , Genome, Human/genetics , Mutation/genetics , Data Collection , Databases, Genetic/economics , Humans , Motivation , Mutation/ethics , Paris , Precision Medicine , Software , Terminology as Topic , United Nations
9.
Hum Mutat ; 31(3): 366-7, 2010 Mar.
Article in English | MEDLINE | ID: mdl-20052753

ABSTRACT

The May 2009 Human Variome Project (HVP) Forum "Towards Establishing Standards" was a round table discussion attended by delegates from groups representing international efforts aimed at standardizing several aspects of the HVP: mutation nomenclature, description and annotation, clinical ontology, means to better characterize unclassified variants (UVs), and methods to capture mutations from diagnostic laboratories for broader distribution to the medical genetics research community. Methods for researchers to receive credit for their effort at mutation detection were also discussed.


Subject(s)
Genome, Human , Polymorphism, Single Nucleotide , Algorithms , DNA Mutational Analysis , Databases, Genetic , Genetic Predisposition to Disease , Genetic Variation , Genomics/standards , Humans , Mutation , Phenotype , Sequence Analysis, DNA
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