The FAIR Data Principles

Kirstine's bookmarks 2017-12-11

Summary:

One of the grand challenges of data-intensive science is to facilitate knowledge discovery by assisting humans and machines in their discovery of, access to, integration and analysis of, task-appropriate scientific data and their associated algorithms and workflows. Here, we describe FAIR - a set of guiding principles to make data Findable, Accessible, Interoperable, and Re-usable.  The FAIR principles have now been published

Link:

https://www.force11.org/group/fairgroup/fairprinciples#!topic/eg2-dcip/M44C2rgwVXM

From feeds:

Open Access Tracking Project (OATP) » Kirstine's bookmarks

Tags:

oa.new oa.data oa.interoperability oa.reuse oa.metadata oa.comment oa.standards oa.digitization oa.mandates oa.mandates.data oa.consultations oa.policies

Date tagged:

12/11/2017, 03:51

Date published:

12/10/2017, 22:51