IMECCHI-DATANETWORK: empowering knowledge generation through international data network

About this item

Title

IMECCHI-DATANETWORK: empowering knowledge generation through international data network

Content partner

Directory of Open Access Journals

Collection

Directory of Open Access Journals

Description

ABSTRACT Objectives The International Methodology Consortium for Coded Health Information (IMECCHI), an international collaboration of health services researchers, launched the IMECCHI-DATANETWORK initiative in October 2015. Its main objective is to enable replication of observational studies across countries through a distributed data infrastructure. Approach In a distributed data infrastructure, individual raw data are not shared. Instead, data are converted locally using a common data mode...

Read more

Format

Research paper

Date created

2017-04-01

Creator

Marie Annick Le Pogam / Amy Metcalf / Søren Paaske Johnsen / Phil Hider / Alka Patel / Hongsoo Kim / Emanuele Carlini / Raffaele Perego / Hude Quan / Rosa Gini

Contributing partner

International Journal of Population Data Science

URL

https://ijpds.org/article/view/257

Related subjects

Demography / Population / Vital events

What is the copyright status of this item?

Share

See below for specifics about how you may use this item.

More Information

Directory of Open Access Journals has this to say about the rights status of this item:

CC BY-NC-ND (All metadata for this Directory of Open Access Journals record is available under the Creative Commons Attribution-ShareAlike License (CC BY-SA).)

You can learn more about the rights status of this item at: https://ijpds.org/author-guidelines

What can I do with this item?

You must always check with Directory of Open Access Journals to confirm the specific terms of use, but this is our understanding:

Non-infringing use

NZ Copyright law does not prevent every use of a copyright work. You should consider what you can and cannot do with a copyright work.

Share it

This item is suitable for copying and sharing with others, without further permission.

No modifying

You are not allowed to adapt or remix this item into any other works.

No commercial use

You may not use this item commercially.