Access methods for analysing sensitive data (amased)
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This document summarizes a research project that aims to expand the capabilities of DataSHIELD, a tool for analyzing sensitive data without sharing it directly. The project has three goals: 1) integrate a data cleaning tool with DataSHIELD to enable analysis of numerical data, 2) deploy a local DataSHIELD system to analyze open text data from the British Library, and 3) explore implementing DataSHIELD to analyze data in research papers on the F1000 platform. The project is led by the University of Bristol with several collaborators and aims to increase access to sensitive datasets while preserving privacy and intellectual property.
Access methods for analysing sensitive data (amased)
- 1. Research data spring AMASED Access Methods for Analysing SEnsitive Data27/2/2015 Taking the analysis to sensitive data. Test cases with the British Library Digital Data and F1000 Research Data
- 2. Team »Lead: University of Bristol »Collaborators: London Metropolitan University, Content Mine, British Library, F1000 Research »Stakeholders: research data providers, researchers, research libraries, publishers etc. 18/02/2015 Title of presentation (Go to ‘View’ menu > ‘Header and Footer…’ to edit the footers on this slide) 2
- 3. Scope and Gap »Sensitive data crucial in almost all areas. ›Patchy understanding of how to deal with them (3.9). Tools and methods evolving rapidly. »DataSHIELD (www.datashield.ac.uk) developed for Biomedical/Life sciences (EU,MRC) ›Extend to new roles in biomedicine, text data in humanities, and work with 3.3 to develop capacity for data cleaning »Goal 1: Scope integration of the data cleaning tool ICT-RD (3.3) with DataSHIELD »Goal 2: Local instance of DataSHIELD for open text data (digitised books) from the British Library »Goal 3: Scope the challenges of implementing DataSHIELD as a paper data access-analysis solution for F1000 Research. »FINAL (Month 13): Final products implemented with London Met, British Library, F1000 Research 18/02/2015 Title of presentation (Go to ‘View’ menu > ‘Header and Footer…’ to edit the footers on this slide) 3
- 4. Impact and Benefits 18/02/2015 Title of presentation (Go to ‘View’ menu > ‘Header and Footer…’ to edit the footers on this slide) 4 Researchers Increase their access to datasets globally Simplify the process of pooled data analysis Ability to analyse individual level data Data providers Increase usability of datasets globally Preserve intellectual property Preserve participant confidentiality Ethics Explain DataSHIELD to ethical and data access committees Hackathon will feed into ongoing evaluation by the proposed DataSHIELD Security Oversight Committee Potential developers Raise interest in new project to optimise the exploitation of biomedical data, opportunity to develop new functionality New use cases Raise awareness of DataSHIELD beyond scope of biomedical community. Application to other research areas?
- 5. Sustainability »Open source products »Free to user and data provider »Growing international development community ›Protocols for quality control »Open for others to join us 18/02/2015 Title of presentation (Go to ‘View’ menu > ‘Header and Footer…’ to edit the footers on this slide) 5
- 6. success 18/02/2015 Title of presentation (Go to ‘View’ menu > ‘Header and Footer…’ to edit the footers on this slide) 6 DELIVERABLES 1. Identify a workflow and methodology to implement the ICT-RD data cleaning tool in existing DataSHIELD infrastructure for numerical data. 2. Locally deployed DataSHIELD test infrastructure for text analysis of digitized books 3. Explore and identify a model for an F1000 Research DataSHIELD infrastructure for analysis of data in their papers. MEASURES OF SUCCESS 1. Defined and realistic methodology for integrating The two pieces of software 2. Achieve unrestricted textual analyses of openly available text data (digitised books) using a locally deployed DataSHIELD test infrastructure 3. Defined and realistic methodology for implementing DataSHIELD on F1000 research data
- 7. Funding 18/02/2015 Title of presentation (Go to ‘View’ menu > ‘Header and Footer…’ to edit the footers on this slide) 7