Open Science Case Studies
This short series of case studies (November 2009 to February 2010) examines what motivates researchers to work in an open manner with regard to their data, results and protocols, and whether advantages are delivered by working in this way.
Funded by the Research Information Network and the National Endowment for Science, Technology and the Arts (NESTA) the case studies considers the benefits and barriers to using ‘open science’ methods.
Open Science’ broadly describes science carried out and communicated in a manner which allows others to contribute, collaborate and add to the research effort, with all kinds of data, results and protocols made freely available at different stages of the research process. Proponents of the approach argue that such collaboration will lead to more efficient research and innovation.
Project page
http://www.rin.ac.uk/our-work/data-management-and-curation/open-science-case-studies
- Home
- Digital Curation
- About Us
- News
- Events
- Resources
- Curation Reference Manual
- Curation Lifecycle Model
- Briefing Papers
- Introduction to Curation
- Annotation
- Appraisal and Selection
- Curating e-mails
- Curating e-science data
- Curating geospatial data
- Data accreditation
- Data protection
- Database archiving
- Digital repositories
- Freedom of Information
- Genre classification
- Interoperability
- Persistent Identifiers
- Trust through self audit
- Using OAIS for curation
- Web 2.0
- What is digital curation?
- Legal Watch Papers
- Standards Watch Papers
- Technology Watch Papers
- Introduction to Curation
- Policy and Legal
- Case Studies
- Tools and Applications
- Standards
- Publications
- External Resources
- Roles
- Curation Journals
- Training
- Projects
- Community
- Contact Us
Useful links
Incremental project
Incremental project
All UK HEIs must take steps to improve data curation activities. The Incremental project is working with researchers at the Universities of Cambridge and Glasgow to build their knowledge of data mangement, identify their requirements for support and fill any gaps. Findings will be shared to help support other HEIs.
