CDISC SHARE, a Global, Cloud-based Resource of Machine-Readable CDISC Standards for Clinical and Translational Research.

about

CDISC SHARE, a Global, Cloud-based Resource of Machine-Readable CDISC Standards for Clinical and Translational Research.

Item

http://www.wikidata.org/entity/Q54986229

description

2018 nî lūn-bûn

@nan

2018年の論文

@ja

2018年学术文章

@wuu

2018年学术文章

@zh-cn

2018年学术文章

@zh-hans

2018年学术文章

@zh-my

2018年学术文章

@zh-sg

2018年學術文章

@yue

2018年學術文章

@zh

2018年學術文章

@zh-hant

name

CDISC SHARE, a Global, Cloud-b ...... al and Translational Research.

@en

CDISC SHARE, a Global, Cloud-b ...... al and Translational Research.

@nl

type

Item

label

CDISC SHARE, a Global, Cloud-b ...... al and Translational Research.

@en

CDISC SHARE, a Global, Cloud-b ...... al and Translational Research.

@nl

prefLabel

CDISC SHARE, a Global, Cloud-b ...... al and Translational Research.

@en

CDISC SHARE, a Global, Cloud-b ...... al and Translational Research.

@nl

P1476

CDISC SHARE, a Global, Cloud-b ...... cal and Translational Research

@en

P2093

Anthony Chow

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

Frederik Malfait

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

J Darcy Wold

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

Julie Chason

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

Julie Evans

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

Lauren B Becnel

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

Samuel Hume

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

Wayne Kubick

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

P2860

Why Most Clinical Research Is Not Useful

A Global, Neutral Platform for Sharing Trial Data

BioPortal: enhanced functionality via new Web services from the National Center for Biomedical Ontology to access and use ontologies in software applications

Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support

Procurement of shared data instruments for Research Electronic Data Capture (REDCap).

Possible combinations of electronic data capture and randomization systems. principles and the realization with RANDI2 and OpenClinica.

Current applications and future directions for the CDISC Operational Data Model standard: A methodological review.

BioSharing: curated and crowd-sourced metadata standards, databases and data policies in the life sciences.

Automated Import of Clinical Data from HL7 Messages into OpenClinica and tranSMART Using Mirth Connect.

Under the Influence: The Interplay among Industry, Publishing, and Drug Regulation.

P304

94-103

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

P31

scholarly article

P478

2017

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

P577

2018-05-18T00:00:00Z

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

P698

29888049

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

P932

5961771

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