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José A. Ruipérez Valiente, PhD (@JoseARuiperez)
UMU – University of Murcia – (jruiperez@um.es)
Senior Researcher
IEEE Member
5.3. Open Data
EDUCATION SOCIETY
http://ieee-edusociety.org/
Unit 5 – Open Education Science
MOOC – Foundations to Open Education and OERs repositories
EDUCATION SOCIETY
http://ieee-edusociety.org/
Subunit – 5.3 Open Data
Unit 5 – Open Education Science
MOOC – Foundations to Open Education and OERs repositories
Slide 2
Introduction
•Objective: Transparently making available, data, materials,
code and other resources in a public repository
• Diverse formats: Tabular data, text, video, interview transcripts,
sensorial data…
•This allows other researchers to inspect it, review it and
build upon it
•Technology greatly facilitates Open Data: large storage and
connectivity is no longer a problem
•In a study, only 25.7% of researchers (out of 140) shared
data on request as promised (Witchers et al., 2006)
EDUCATION SOCIETY
http://ieee-edusociety.org/
Subunit – 5.3 Open Data
Unit 5 – Open Education Science
MOOC – Foundations to Open Education and OERs repositories
Slide 3
Options for Sharing Data
•Using portals for public data sharing
•Sites like Open Science Framework or Dataverse
•Example: the HarvardX Person-Course Academic Year
2013 De-Identified dataset
•Publishing dataset in a journal
•Nature Scientific Data or Elsevier Data in Brief
•Example: Climate change dataset
•FAIR: Findability, Accessibility, Interoperability and
Reusability (Wilkinson et al, 2016)
EDUCATION SOCIETY
http://ieee-edusociety.org/
Subunit – 5.3 Open Data
Unit 5 – Open Education Science
MOOC – Foundations to Open Education and OERs repositories
Slide 4
When and with Whom to Share Data
Data Sharing Worksheet
Source: (Carlson, 2010; van der Zee & Reich, 2018)
EDUCATION SOCIETY
http://ieee-edusociety.org/
Subunit – 5.3 Open Data
Unit 5 – Open Education Science
MOOC – Foundations to Open Education and OERs repositories
Slide 5
Privacy and Anonymization
•Preserve participants’ privacy:
•Consent and agreements
•It is not a binary decision
•Each region has their regulations e.g. GDPR in Europe
•Anonymize personal data before sharing:
•This process is not perfect: Reverse anonymization via
other third party data
•Example: Netflix data de-anonymized
•Some tools for anonymization like ARX or Amnesia
EDUCATION SOCIETY
http://ieee-edusociety.org/
Subunit – 5.3 Open Data
Unit 5 – Open Education Science
MOOC – Foundations to Open Education and OERs repositories
Slide 6
Overview
Source: (Asokan, L., 2018 -- https://slideplayer.com/slide/13787796/)
EDUCATION SOCIETY
http://ieee-edusociety.org/
Subunit – 5.3 Open Data
Unit 5 – Open Education Science
MOOC – Foundations to Open Education and OERs repositories
Slide 7
Conclusions
•Helps expand (and do better) research but might
represents a challenge to preserve privacy
•Some researchers are afraid of ”scooping”
• Lose the possibility to do new research
•Researchers need incentives to share their data
• Citable publications, co-authoring, awards, more value
for tenure…
•Policy from research institutions, countries and
publishers are needed to shift towards this direction
EDUCATION SOCIETY
http://ieee-edusociety.org/
Subunit – 5.3 Open Data
Unit 5 – Open Education Science
MOOC – Foundations to Open Education and OERs repositories
Slide 8
References
• van der Zee, T., & Reich, J. (2018). Open education science. AERA Open, 4(3), 2332858418787466.
• Wicherts, J. M., Borsboom, D., Kats, J., & Molenaar, D. (2006). The poor availability of psychological research data for
reanalysis. American psychologist, 61(7), 726.
• Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., ... & Bouwman, J. (2016). The
FAIR Guiding Principles for scientific data management and stewardship. Scientific data, 3.
• Carlson, J. (2010). The Data Curation Profiles Toolkit: Interview Worksheet.
• Asokan, L. Institutional role in supporting open access, open science, open data. Office of Information, Knowledge &
Library, Nanyang Technological University Singapore. https://slideplayer.com/slide/13787796
EDUCATION SOCIETY
http://ieee-edusociety.org/
José A. Ruipérez Valiente, PhD (@JoseARuiperez)
UMU – University of Murcia – (jruiperez@um.es)
Senior Researcher
IEEE Member
5.3. Open Data
Unit 5 – Open Education Science
MOOC – Foundations to Open Education and OERs repositories

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MOOC OERs 5.3. open data

  • 1. José A. Ruipérez Valiente, PhD (@JoseARuiperez) UMU – University of Murcia – (jruiperez@um.es) Senior Researcher IEEE Member 5.3. Open Data EDUCATION SOCIETY http://ieee-edusociety.org/ Unit 5 – Open Education Science MOOC – Foundations to Open Education and OERs repositories
  • 2. EDUCATION SOCIETY http://ieee-edusociety.org/ Subunit – 5.3 Open Data Unit 5 – Open Education Science MOOC – Foundations to Open Education and OERs repositories Slide 2 Introduction •Objective: Transparently making available, data, materials, code and other resources in a public repository • Diverse formats: Tabular data, text, video, interview transcripts, sensorial data… •This allows other researchers to inspect it, review it and build upon it •Technology greatly facilitates Open Data: large storage and connectivity is no longer a problem •In a study, only 25.7% of researchers (out of 140) shared data on request as promised (Witchers et al., 2006)
  • 3. EDUCATION SOCIETY http://ieee-edusociety.org/ Subunit – 5.3 Open Data Unit 5 – Open Education Science MOOC – Foundations to Open Education and OERs repositories Slide 3 Options for Sharing Data •Using portals for public data sharing •Sites like Open Science Framework or Dataverse •Example: the HarvardX Person-Course Academic Year 2013 De-Identified dataset •Publishing dataset in a journal •Nature Scientific Data or Elsevier Data in Brief •Example: Climate change dataset •FAIR: Findability, Accessibility, Interoperability and Reusability (Wilkinson et al, 2016)
  • 4. EDUCATION SOCIETY http://ieee-edusociety.org/ Subunit – 5.3 Open Data Unit 5 – Open Education Science MOOC – Foundations to Open Education and OERs repositories Slide 4 When and with Whom to Share Data Data Sharing Worksheet Source: (Carlson, 2010; van der Zee & Reich, 2018)
  • 5. EDUCATION SOCIETY http://ieee-edusociety.org/ Subunit – 5.3 Open Data Unit 5 – Open Education Science MOOC – Foundations to Open Education and OERs repositories Slide 5 Privacy and Anonymization •Preserve participants’ privacy: •Consent and agreements •It is not a binary decision •Each region has their regulations e.g. GDPR in Europe •Anonymize personal data before sharing: •This process is not perfect: Reverse anonymization via other third party data •Example: Netflix data de-anonymized •Some tools for anonymization like ARX or Amnesia
  • 6. EDUCATION SOCIETY http://ieee-edusociety.org/ Subunit – 5.3 Open Data Unit 5 – Open Education Science MOOC – Foundations to Open Education and OERs repositories Slide 6 Overview Source: (Asokan, L., 2018 -- https://slideplayer.com/slide/13787796/)
  • 7. EDUCATION SOCIETY http://ieee-edusociety.org/ Subunit – 5.3 Open Data Unit 5 – Open Education Science MOOC – Foundations to Open Education and OERs repositories Slide 7 Conclusions •Helps expand (and do better) research but might represents a challenge to preserve privacy •Some researchers are afraid of ”scooping” • Lose the possibility to do new research •Researchers need incentives to share their data • Citable publications, co-authoring, awards, more value for tenure… •Policy from research institutions, countries and publishers are needed to shift towards this direction
  • 8. EDUCATION SOCIETY http://ieee-edusociety.org/ Subunit – 5.3 Open Data Unit 5 – Open Education Science MOOC – Foundations to Open Education and OERs repositories Slide 8 References • van der Zee, T., & Reich, J. (2018). Open education science. AERA Open, 4(3), 2332858418787466. • Wicherts, J. M., Borsboom, D., Kats, J., & Molenaar, D. (2006). The poor availability of psychological research data for reanalysis. American psychologist, 61(7), 726. • Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., ... & Bouwman, J. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific data, 3. • Carlson, J. (2010). The Data Curation Profiles Toolkit: Interview Worksheet. • Asokan, L. Institutional role in supporting open access, open science, open data. Office of Information, Knowledge & Library, Nanyang Technological University Singapore. https://slideplayer.com/slide/13787796
  • 9. EDUCATION SOCIETY http://ieee-edusociety.org/ José A. Ruipérez Valiente, PhD (@JoseARuiperez) UMU – University of Murcia – (jruiperez@um.es) Senior Researcher IEEE Member 5.3. Open Data Unit 5 – Open Education Science MOOC – Foundations to Open Education and OERs repositories