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Data Processing - data privacy and sensitive data


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Data Processing - data privacy and sensitive data- Elli Papadopoulou (Librarian at Athena R.C. / OpenAIRE NOAD for Greece)

Presented : at OpenAIRE - EOSC-hub webinar “Data Privacy and Sensitive Data Services”

Published in: Science
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Data Processing - data privacy and sensitive data

  1. 1. @EOSC_eu@OpenAIRE_eu | 6th December 2018
  2. 2. data privacy and sensitive data Elli Papadopoulou Librarian at Athena R.C. / OpenAIRE NOAD for Greece Data Processing 6th December 2018
  3. 3. 1. Data Processing 2. Data Privacy & Sensitive Data ● What is data processing ● Where is it positioned in a data management lifecycle ● What are its components ● What are the key elements of data privacy ● How to handle sensitive data 6th December 2018
  4. 4. 1. Data Processing
  5. 5. • the operational phase during which raw data is being manipulated to result to meaningful information • what data? textual, images, audio (and their metadata!) - electronic, digital, analog, physical What is Data Processing 6th December 2018
  6. 6. • Handling/curation of data • Between data collection and data preservation • Involves processes such as: ingestion, aggregation, analysis, classification, metadata enrichment, organisation, validation, storing, etc. • There might be re-processing of data (e.g. data migration) • Data disposal Data Management Lifecycle Data Processing 6th December 2018
  7. 7. -Type of data: what has been used or generated (e.g. software) during research process and support/validate its outcomes -Format of data: one format for analysis and then convert to a standard format (more sustainable: .rtf, .xml, .tif, .wav; proprietary: .doc, .jpg, .mp3) -Metadata: use metadata standards -Persistent Identifiers (PIDs): a long lasting reference to a document, file or other object - many repositories will assign them in deposit ● (Research) Data Management policies or repository policies - retention, withdrawal, format, metadata standards, storage, etc Data Processing in a Data Management Plan and FAIR manner
  8. 8. 2. Data Privacy & Sensitive Data
  9. 9. In force since 25 May 2018 Data Privacy or Data Protection - The legal framework Intellectual Property Rights - Copyright Also: Trade secrets directive & unitary patent system
  10. 10. - Personal data (and metadata) - Confidential data (trade secrets, investigations,...) - Security data (passwords, financial information, national safety, military,….) - Data protected by Intellectual Property Rights (IPR) - Location Data/GPS/mobile phones - Endangered (plant or animal) species, where their survival is dependent on the protection of their location data (biodiversity community) - Combination of different datasets could lead to sensitive data? Types of sensitive data - racial or ethnic origin - political opinions - religious or philosophical beliefs - trade union membership - genetic data, biometric data - physical or mental health - sex life or sexual orientation - criminal offences
  11. 11. - Access controls - passwords, firewall (viruses, hacking) - Anonymisation - removing or aggregating variables or reducing the precision or detailed textual meaning of a variable - Encryption - encoded digital information Data Security and Sensitive data - best practices - Share in a secure place - no cloud drives - Store in an isolated machine - server not connected to Internet - Secure disposal - no data recovery is possible (uninstall)
  12. 12. - DANs - UK Data Archive - CESSDA Data Management Expert Guide Management-Expert-Guide - DCC Curation Lifecycle Lifecycle - Amnesia (anonymisation tool) Useful Resources
  13. 13. @EOSC_eu @openaire_eu Questions ?
  14. 14. Elli Papadopoulou Thank you!