Open data refers to data that is freely available for anyone to access, use and share, with some restrictions like requiring attribution. Sharing open data in research provides benefits like enabling other researchers to verify findings through replication, increasing the visibility and impact of the research, and avoiding duplicate costs and efforts. Incentives are needed to encourage researchers to share open data, such as award structures that recognize data sharing and metrics for measuring its impact.

1. Why it is Important for Research
OPEN DATA
Velichka
Dimitrova,
Open
Economics
Project
Open
Knowledge
Founda>on

2. Open Data for Research
Open data is data
that is available
for others to
access, use and
reuse – subject
only at most to
the requirement of
attribution or
sharealike.
See also: http://opendefinition.org/

3. Open Data Characteristics
Availability and Access
Reuse and Redistribution
Universal Participation
See also: http://opendefinition.org/

4. Replicable and Verifiable
Research

5. Data Availability Policy
Source: http://www.aeaweb.org/aer/data.php
Example:

6. Making Data Available:
Automated Game Datasets
Source:
http://openeconomics.net/automated-game-play-datasets/

7. Validation Tools:
RunMyCode.org

8. Benefits of Data Sharing
• Enables the Scrutiny of Research Findings
• Increases the Visibility of Research
• Promotes Innovation & New Uses of the Data
• Enhances Transparency and Accountability
• Avoids Unneeded Costs & Duplicate Research

9. Incentives for Researchers
• Award structure
recognizing data
citations, data
publications, etc.
• Measuring the
impact of data
sharing
• More impact, more
reputation, more
research funding