Can business generated big food data help nutrition science: Case insights from interviews with commercial big data owners in the Richfield design study

Bent Egberg Mikkelsen

doi:10.1159/000480486

Can business generated big food data help nutrition science: Case insights from interviews with commercial big data owners in the Richfield design study

Bent Egberg Mikkelsen

Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › peer review

Originalsprog	Engelsk
Artikelnummer	144/2725
Tidsskrift	Annals of Nutrition and Metabolism
Vol/bind	71
Udgave nummer	Suppl. 2
Antal sider	1
ISSN	0250-6807
DOI	https://doi.org/10.1159/000480486
Status	Udgivet - 2017
Begivenhed	21st International Congress of Nutrition (ICN: From Sciences to Nutrition Security - Buenos Aires International Convention Center, Buenos Aires, Argentina Varighed: 15 okt. 2017 → 20 okt. 2017 http://icn2017.com/

Konference

Konference	21st International Congress of Nutrition (ICN
Lokation	Buenos Aires International Convention Center
Land/Område	Argentina
By	Buenos Aires
Periode	15/10/2017 → 20/10/2017
Internetadresse	http://icn2017.com/

Adgang til dokumentet

10.1159/000480486

AUB Link

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Citationsformater

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title = "Can business generated big food data help nutrition science: Case insights from interviews with commercial big data owners in the Richfield design study",

author = "Mikkelsen, {Bent Egberg}",

year = "2017",

doi = "10.1159/000480486",

language = "English",

volume = "71",

journal = "Annals of Nutrition and Metabolism",

issn = "0250-6807",

publisher = "S. Karger AG",

number = "Suppl. 2",

note = "21st International Congress of Nutrition (ICN : From Sciences to Nutrition Security, IUNS17 - ; Conference date: 15-10-2017 Through 20-10-2017",

url = "http://icn2017.com/",

}

TY - ABST

T1 - Can business generated big food data help nutrition science

T2 - 21st International Congress of Nutrition (ICN

AU - Mikkelsen, Bent Egberg

PY - 2017

Y1 - 2017

U2 - 10.1159/000480486

DO - 10.1159/000480486

M3 - Conference abstract in journal

SN - 0250-6807

VL - 71

JO - Annals of Nutrition and Metabolism

JF - Annals of Nutrition and Metabolism

IS - Suppl. 2

M1 - 144/2725

Y2 - 15 October 2017 through 20 October 2017

ER -