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Open Data& overview of data management in H-2020
27 February 2015
• A growing trend among scholars, government agencies and international organisations to share data outputs, codebooks and software.
• Data in the Social Sciences & Humanities– Numerical data for scholarly research: economics,
sociology, political economy, economic history &c.– Qualitative: case studies, text coding/analysis,
interviews, images.
• Research Data Management– Science funders increasingly require DMPs
• eg. EU Horizon 2020
– Data security: especially micro data– Documentation on dataset changes, variables,
software versions and pre-agreed terms of access and use.
H-2020
• ‘Societal Challenges’ categories: – Europe in a changing world – inclusive, innovative and
reflective Societies– Climate Action, Environment, Resource Efficiency– Secure, Clean and Efficient Energy
H-2020
Project managers should address the following questions when completing the general information section of the application: •What types of data will the project generate/collect? •What standards will be used? •How will this data be exploited and/or shared/made accessible for verification and re-use? If data cannot be made available, explain why. •How will this data be curated and preserved?
H-2020
• DMPs must be provided within six months of the start of the research project
• DMPs are expected to be periodically updated• Metadata and documentation to be included• Opt-outs
– Industry-related research data– Data subject to special confidentiality obligations– Data subject to national security sensitivity– Project directors can give reasons why datasets would not be made
available on an open basis. – Commission project officers can open a feedback/negotiation phase
to discuss DMPs.
Data 'cycle'
• Metadata for data output– Title, names of creator(s)– Description - 'data abstract'– Source(s)– Creation date– Spatial / temporal coverage– Format– Location of data & DOI– Access status and embargo– Licence– Funding Statement– Related publications
• Open data check
Open data check
• Data protection: – Datasets where persons, households or firms are identified– Not normally possible to publish data openly– May be possible (pending terms) to generate an anonymised
version of the data for sharing, or access after embargo.
• Database copyright: – Datasets derived/elaborated from pre-existing, commercially-
licensed database(s)– Not normally possible to publish significant extractions due to
copyright protection and contractual terms of use.
• Contact the Library for advice
Licensing / IP / Copyright
•Assistance and 'brokering'•Research team ↔ Library ↔ Data © owner
Open data Data protection
Copyright
← Macro Micro →
"Micro data access restrictions are increasing"
– Berkeley University Data Librarian U.S. Federal Reserve data conference, September 2014
Archiving & Access
Locating repositories
Support
• Badia Library Info. Office 2346– Weekday mornings and Tue. & Thurs. afternoons
• Departmental Information Desk 2904– Mon., Wed., & Fri. afternoons
Open Data& overview of data management in H-2020
27 February 2015