Skip to main content

Provenance and Privacy in ProSA

A Guided Interview on Privacy-Aware Provenance

  • Conference paper
  • First Online:
Database and Expert Systems Applications - DEXA 2021 Workshops (DEXA 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1479))

Included in the following conference series:

  • 1021 Accesses

Abstract

Consciously collecting (research) data and respecting privacy aspects are two contradictions, which seem to be mutually exclusive at first moment. However, this does not have to be the case. But before we can address this conflict and its resolution, we want to understand what the terms privacy, provenance, and research data management actually mean. We are not interested in the formal definitions but in the community’s understanding of these terms. We have the intention to explore how far the theoretical definitions are known in science and economy. Hence, we interviewed 20 people – scientists and non-scientists – and evaluated their answers for discussing the relevance of combining provenance and privacy in the field of research data management. We discovered that provenance is generally understood as the origin of data or physical objects, and privacy often refers to the protection of personal data. We found that all participants have a very good understanding of their own research data, which in most cases is based on a well-developed research data management. Nevertheless, there is still some uncertainty, especially in the area of provenance and privacy.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    https://www.dfg.de.

  2. 2.

    https://www.go-fair.org/fair-principles/.

  3. 3.

    https://eur-lex.europa.eu/eli/reg/2016/679/2016-05-04.

  4. 4.

    https://library.leeds.ac.uk/info/14062/research_data_management/61/research_data_management_explained.

References

  1. Auge, T., Heuer, A.: ProSA—using the CHASE for provenance management. In: Welzer, T., Eder, J., Podgorelec, V., Kamišalić Latifić, A. (eds.) ADBIS 2019. LNCS, vol. 11695, pp. 357–372. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-28730-6_22

    Chapter  Google Scholar 

  2. Auge, T., Scharlau, N., Heuer, A.: Privacy aspects of provenance queries. In: Glavic, B., Braganholo, V., Koop, D. (eds.) IPAW 2020-2021. LNCS, vol. 12839, pp. 218–221. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-80960-7_15

    Chapter  Google Scholar 

  3. Auge, T.: Extended provenance management for data science applications. In: PhD@VLDB, CEUR Workshop Proceedings, vol. 2652 (2020). CEUR-WS.org

  4. Dwork, C.: Differential privacy. In: Bugliesi, M., Preneel, B., Sassone, V., Wegener, I. (eds.) ICALP 2006. LNCS, vol. 4052, pp. 1–12. Springer, Heidelberg (2006). https://doi.org/10.1007/11787006_1

    Chapter  Google Scholar 

  5. Herschel, M., Diestelkämper, R., Ben Lahmar, H.: A survey on provenance: What for? What form? What from? VLDB J. 26(6), 881–906 (2017). https://doi.org/10.1007/s00778-017-0486-1

    Article  Google Scholar 

  6. Samarati, P.: Protecting respondents’ identities in microdata release. IEEE Trans. Knowl. Data Eng. 13(6), 1010–1027 (2001)

    Article  Google Scholar 

  7. Sweeney, L.: Simple Demographics Often Identify People Uniquely. Carnegie Mellon University, School of Computer Science, Data Privacy Lab White Paper Series LIDAP-WP4. Pittsburgh, PA (2000)

    Google Scholar 

Download references

Acknowledgements

Thanks to all interview partners for their time as well as their exhaustive answers. Thanks also to Tom Ettrich for proofreading our article.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tanja Auge .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Auge, T., Scharlau, N., Heuer, A. (2021). Provenance and Privacy in ProSA. In: Kotsis, G., et al. Database and Expert Systems Applications - DEXA 2021 Workshops. DEXA 2021. Communications in Computer and Information Science, vol 1479. Springer, Cham. https://doi.org/10.1007/978-3-030-87101-7_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-87101-7_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87100-0

  • Online ISBN: 978-3-030-87101-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics