Data Management

This document is a first output of the FAIR Data Maturity Model WG. This resulted in five slide decks, combined in this pdf document, that make up this preliminary analysis.

Global middleware infrastructure is insufficient for robust data identification, discovery, and use. While infrastructure is emerging within sub-ecosystems such as the DOI ecosystem of services purposed for data and literature objects (i.e., DataCite, CHORUS, CrossRef), in general the layers of abstraction that have made the Internet so easy to build on, is lacking for data especially for computer (machine) automated services.

Link to Working Group

January 2019

FAIRsharing:

Experts from 47 European research infrastructure initiatives and ERICs have agreed on a set of assertions about the nature, the creation and the usage of Persistent Identifiers (PIDs).

The “Long Tail of Research Data Interest Group” has been assessing the situation of long tail data over the last three years, and urges the broader community to consider the risks and opportunities related to long-tail data. This document provides seven recommendations for a variety of stakeholders, including governments, funders, research institutions and researchers to help improve the current approach to managing long tail data. We call on the community to work together to create necessary and sufficient conditions to ensure we are able to properly steward these valuable research outputs for future generations of researchers.