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Towards Privacy by Design. Key issues to unlock science.

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Symposium: Designing and Shaping Open Science,
Amsterdam, April 5 2016

Published in: Science
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Towards Privacy by Design. Key issues to unlock science.

  1. 1. Towards Privacy By Design Key issues to unlock science. Symposium: Designing and Shaping Open Science Amsterdam, April 5 2016 Marlon Domingus
  2. 2. 1. Attitude and Trust 2. The Researcher 3. Maturity Models as Time Machines 4. New Roles and Collaborations 5. Context and Framing Key issues
  3. 3. Attitude
  4. 4. Source: https://cybersponse.com/data-breaches-by-the-numbers Trust
  5. 5. Responsible Research and Innovation Good Citizenship Corporate Social Responsibility Soft Law: Code of Conduct, Guidelines, ... Hard Law: Privacy Law, Patent Law, … Hard Law: Contracts, Agreements, ... The researcher in context
  6. 6. European Code of Conduct National Code of Conduct University Policy - Research Integrity - Open Access, RDM Discipline Specific Code of Conduct The researcher in context: soft law
  7. 7. European Funding Requirements National Funding Requirements University Requirements The researcher in context: requirements
  8. 8. University A, Country A T1: researcher works at University A, co-operates with University B and C University B, Country A collaboration University C, Country B collaboration The researcher (& infrastructure) in context
  9. 9. University A, Country A University B, Country A University C, Country Bcollaboration collaboration T2: researcher works at University B, co-operates with University C, D and E T3: … collaboration The researcher (& infrastructure) in context
  10. 10. Researcher Mobility Responsible Research and Innovation Good Citizenship Corporate Social Responsibility Legal and Moral Requirements Research Cycle Transparency, Guidelines, Services, Infra, … The researcher in context
  11. 11. Source: https://www.monash.edu/__data/assets/pdf_file/0010/385309/sensitive-decision-tree.pdf Example 11
  12. 12. 12
  13. 13. It took some time and effort, but now we have Open Access and Open Science. How did we get here? 2020 Hindsight
  14. 14. Legal Research Support Maturity Model Level 1 Level 2 Level 3 Level 4 Level 5 Initial Development Defined Managed Optimised Process is disorganised & ad hoc Process is under development Process is standardised, communicated Process is managed, measured Focus is on continuous improvement Institutional policies & procedures Policies & procedures may be undeveloped, not up to date, and/or inconsistent. Policies & procedures are developed & harmonised. Basic understanding of the gaps in the policies & guidelines. Policies & procedures are promulgated & absorbed into behaviours. Policies & procedures accepted as part of the culture & subject to audit. Policies & procedures are subject to review & improvement. Legal Research Support Legal support services are disorganised, research contracts and agreements are legally ad hoc supported, inconsistent and poorly publicised. Investment in legal expertise. Legal services identified & staffed. Responsibilities are defined. Documentation & awareness programs developed. Co-operation between legal experts & widespread availability of well documented services. Common knowledge available of all relevant legal research support topics. Widespread take up of legal services at an early stage in the research project. IPR and Privacy are acknowledged as critical to the institutional mission. Researcher’s feedback, research project’s lessons learned as well as analysis of awarded grant are used to update & improve legal research support services. IT infrastructure IT infrastructure provision is patchy, disorganised & poorly publicised & not supporting the whole research cycle. Funds are invested in technology & skills. Responsibilities are defined. Processes are established, defined & documented. Awareness of the different IT infra needs during the research cycle. Management shows active support. Facilities are well defined & communicated, standardised & integrated. The main aspects of the research cycle are supported in the IT infra. Key privacy aspects are secured in the IT infra. Infrastructure facilitates whole research cycle as well as special requests for Research IT infra. Management actively engaged. Documentation kept up to date. Privacy By Design implemented. Concerted efforts to maintain, update & publicise infrastructure. Metrics & feedback used to optimise services. Research IT staff hired for tailored research support. Based on the ANDS RDM Framework: http://ands.org.au/guides/capability-maturity 14
  15. 15. example Source: https://www.aicpa.org/InterestAreas/InformationTechnology/Resources/Privacy/GenerallyAcceptedPrivacyPrinciples/DownloadableDocuments/AICPA- CICA-Privacy-Maturity-Model-ebook.pdf 15
  16. 16. Chief Information Security Officer Data Protection Officer Integrity Officer Ethical Committee … New roles and collaborations
  17. 17. Context and Framing
  18. 18. Further Information drs. Marlon Domingus project manager Research Data Management Erasmus University Rotterdam +31 10 4088006 domingus@ubib.eur.nl

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