DataSHIELD: taking the analysis to the data, not the data to the analysis - Wikidata - wikimedia - TriplyDB

DataSHIELD: taking the analysis to the data, not the data to the analysis

DataSHIELD: taking the analysis to the data, not the data to the analysis

http://www.wikidata.org/entity/Q28649310

about

Data Safe Havens in health research and healthcare StemBANCC: Governing Access to Material and Data in a Large Stem Cell Research Consortium Beyond Our Borders? Public Resistance to Global Genomic Data Sharing Ten Simple Rules for Digital Data Storage COINSTAC: A Privacy Enabled Model and Prototype for Leveraging and Processing Decentralized Brain Imaging Data ViPAR: a software platform for the Virtual Pooling and Analysis of Research Data The Cooperative Health Research in South Tyrol (CHRIS) study: rationale, objectives, and preliminary results Maelstrom Research guidelines for rigorous retrospective data harmonization Big Data in medical research and EU data protection law: challenges to the consent or anonymise approach Using routine data to improve palliative and end of life care.Privacy, security, and the public health researcher in the era of electronic health record research.Human genotype-phenotype databases: aims, challenges and opportunities.eNewborn: The Information Technology Revolution and Challenges for Neonatal Networks.Long-term exposure to road traffic noise, ambient air pollution, and cardiovascular risk factors in the HUNT and lifelines cohorts.Software Application Profile: Opal and Mica: open-source software solutions for epidemiological data management, harmonization and dissemination.Identifying and sharing data for secondary data analysis of physical activity, sedentary behaviour and their determinants across the life course in Europe: general principles and an example from DEDIPAC.Harmonising data on the correlates of physical activity and sedentary behaviour in young people: Methods and lessons learnt from the international Children's Accelerometry database (ICAD).MINDMAP: establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environment.Residential Air Pollution and Associations with Wheeze and Shortness of Breath in Adults: A Combined Analysis of Cross-Sectional Data from Two Large European Cohorts.Towards Implementation of OMOP in a German University Hospital Consortium.Collaborative, pooled and harmonized study designs for epidemiologic research: challenges and opportunities.Practical implications of using real-world evidence (RWE) in comparative effectiveness research: learnings from IMI-GetReal.Better governance, better access: practising responsible data sharing in the METADAC governance infrastructure.Opportunities and obstacles for deep learning in biology and medicine.Comparison of privacy-protecting analytic and data-sharing methods: A simulation study

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P2860

DataSHIELD: taking the analysis to the data, not the data to the analysis

http://www.wikidata.org/entity/Q28649310

description

2014 nî lūn-bûn

@nan

2014 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի դեկտեմբերին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

name

DataSHIELD: taking the analysis to the data, not the data to the analysis

@ast

DataSHIELD: taking the analysis to the data, not the data to the analysis

@en

DataSHIELD: taking the analysis to the data, not the data to the analysis

@nl

type

label

DataSHIELD: taking the analysis to the data, not the data to the analysis

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DataSHIELD: taking the analysis to the data, not the data to the analysis

@en

DataSHIELD: taking the analysis to the data, not the data to the analysis

@nl

prefLabel

DataSHIELD: taking the analysis to the data, not the data to the analysis

@ast

DataSHIELD: taking the analysis to the data, not the data to the analysis

@en

DataSHIELD: taking the analysis to the data, not the data to the analysis

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P1433

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P304

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P3181

P356

P1433

International Journal of Epidemiology

P1476

DataSHIELD: taking the analysis to the data, not the data to the analysis

@en

P2093

Barnaby Murtagh

http://www.w3.org/2001/XMLSchema#string

Bruce H R Woffenbuttel

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Carsten Oliver Schmidt

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Chris Dibben

http://www.w3.org/2001/XMLSchema#string

Christopher J Newby

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Edwin van den Heuvel

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Elinor M Jones

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Eva Reischl

http://www.w3.org/2001/XMLSchema#string

Gillian Raab

http://www.w3.org/2001/XMLSchema#string

Ipek Demir

http://www.w3.org/2001/XMLSchema#string

P2860

Sharing research data to improve public health

The SAIL Databank: building a national architecture for e-health research and evaluation

Genome-wide association study identifies five loci associated with lung function

Combining multiple healthcare databases for postmarketing drug and vaccine safety surveillance: why and how?

Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes

DataSHIELD: resolving a conflict in contemporary bioscience--performing a pooled analysis of individual-level data without sharing the data

Size matters: just how big is BIG?: Quantifying realistic sample size requirements for human genome epidemiology

Care.data: why are Scotland and Wales doing it differently?

Genome-wide association study identifies eight loci associated with blood pressure

Data harmonization and federated analysis of population-based studies: the BioSHaRE project.

P304

1929-44

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scholarly article

P3181

2890615

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P356

10.1093/IJE/DYU188

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P407

P433

6

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43

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Bartha Knoppers

Melanie Waldenberger

Tero Hiekkalinna

P577

2014-12-01T00:00:00Z

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P5875

266208495

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25261970

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P932

4276062

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