Skip to main navigation
Skip to search
Skip to main content

Maastricht University Home

Support & FAQ

Home
Researchers
Publications
Activities
Press / Media
Prizes
Organisations
Datasets
Projects

Search by expertise, name or affiliation

Analyzing Partitioned FAIR Health Data Responsibly

Institute of Data Science
Institute of Data Science

Research output: Working paper / Preprint › Working paper

Overview

Original language	English
Publication status	Published - Dec 2018

Cite this

APA
Author
BIBTEX
Harvard
Standard
RIS
Vancouver

Adekunle, S. (2018). Analyzing Partitioned FAIR Health Data Responsibly.

Adekunle, Seun. / Analyzing Partitioned FAIR Health Data Responsibly. 2018.

@techreport{c4f332205ad046a1ae3eba101b4293ec,

title = "Analyzing Partitioned FAIR Health Data Responsibly",

author = "Seun Adekunle",

year = "2018",

month = dec,

language = "English",

type = "WorkingPaper",

}

Adekunle, S 2018 'Analyzing Partitioned FAIR Health Data Responsibly'.

Analyzing Partitioned FAIR Health Data Responsibly. / Adekunle, Seun.

2018.

Research output: Working paper / Preprint › Working paper

TY - UNPB

T1 - Analyzing Partitioned FAIR Health Data Responsibly

AU - Adekunle, Seun

PY - 2018/12

Y1 - 2018/12

M3 - Working paper

BT - Analyzing Partitioned FAIR Health Data Responsibly

ER -

Adekunle S. Analyzing Partitioned FAIR Health Data Responsibly. 2018 Dec.

Powered by Pure, Scopus & Elsevier Fingerprint Engine™ © 2021 Elsevier B.V.

We use cookies to help provide and enhance our service and tailor content. By continuing you agree to the use of cookies

Maastricht University data protection policy

About web accessibility