Building the biomedical data science workforce.

about

Democratizing data science through data science training Training for translation between disciplines: a philosophy for life and data sciences curricula.

P2860

Q45943176-9D9613ED-627D-4D1E-8C8B-E14A006BBF03 Q55474985-A47D14DF-63E7-4BF0-BF47-001910C3EB39

P2860

Building the biomedical data science workforce.

Item

http://www.wikidata.org/entity/Q38656459

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年学术文章

@wuu

2017年学术文章

@zh-cn

2017年学术文章

@zh-hans

2017年学术文章

@zh-my

2017年学术文章

@zh-sg

2017年學術文章

@yue

2017年學術文章

@zh

2017年學術文章

@zh-hant

name

Building the biomedical data science workforce.

@en

type

Item

label

Building the biomedical data science workforce.

@en

prefLabel

Building the biomedical data science workforce.

@en

P1476

Building the biomedical data science workforce.

@en

P2093

Michelle C Dunn

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

P2860

The FAIR Guiding Principles for scientific data management and stewardship

Data scientist: the sexiest job of the 21st century.

Data science and prediction

P304

e2003082

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

P31

scholarly article

P356

10.1371/JOURNAL.PBIO.2003082

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

P407

English

P433

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

P478

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

P50

Philip Bourne

P577

2017-07-17T00:00:00Z

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

P698

28715407

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

P932

5517135

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

Building the biomedical data science workforce.

about

P2860

P2860

Building the biomedical data science workforce.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932