Publishing Data for Quality and Impact

Overview

Teaching: 5 min
Exercises: 0 min

Questions

• How are data archiving and data publishing appropriate in different circumstances?

• How does Open Context publish data?

• How does data publishing differ from conventional publishing?

Objectives

• Understand data as more than a ‘residue’ of conventional publication.

• Understand that data need context to be understood and valued.

• Machines (software) are increasingly important audiences for data.

Eric Kansa

Open Context

Program Director

Introduction video to data publishing with Open Context

Key Points

• Linked Open Data (LOD) makes context explicit and promotes wide collaboration across institutions.

• Making full use of data requires new kinds of professional orientations and skills.

• Meaningful data sharing and preservation requires intellectual investment.