Skip to main content

Integrated Access to Multidisciplinary Data Through Semantically Interoperable Services in a Metadata-Driven Platform for Solid Earth Science

  • Conference paper
  • First Online:
Metadata and Semantic Research (MTSR 2022)

Abstract

The ability to use data produced by different sources (social networks, governments, weather sensors etc.) is widely recognized as a key to capitalize the value of data. In the scientific field, such usage may incredibly boost the innovation and foster new discoveries. However, one of the main hurdles is currently represented by the difficulties in achieving the required interoperability to provide integrated access to multi-disciplinary data. The current work presents a metadata-driven approach that uses in a combined way metadata, semantics, and services as key components for providing integrated access to heterogeneous data sources. The integration occurs within a central data integration system, which is driven by a rich metadata catalogue and that can present the data provided by the different data sources in a harmonised way to the end user, by means of RESTful APIs. A real application demonstrating metadata-driven semantic and service interoperability for achieving homogeneous access to multi-disciplinary heterogeneous data sources is illustrated in the case of EPOS, a Research Infrastructure for Solid Earth Science. The advantages in terms of ease of maintenance, of flexibility in plugging different standard without perturbating communities’ long-lasting technical practices, and of ability to track provenance are discussed. Future work for providing open-source implementation of a system built following the proposed approach is also envisaged.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
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

Notes

  1. 1.

    https://www.auscope.org.au/ (accessed on 24th of August 2022).

  2. 2.

    https://www.ogc.org/ (accessed on 24th of August 2022).

  3. 3.

    https://www.geoportal.org/?m:activeLayerTileId=osm&f:dataSource=dab (accessed on 24th of August 2022).

  4. 4.

    https://www.earthobservations.org/index.php (accessed on 24th of August 2022).

  5. 5.

    https://maracoos.org/ (accessed on 24th of August 2022).

  6. 6.

    https://maracoos.org/index.php/tools/ (accessed on 24th of August 2022).

  7. 7.

    https://geonetwork-opensource.org/ (accessed on 25th of August 2022).

  8. 8.

    https://ckan.org/ (accessed on 25th of August 2022).

  9. 9.

    https://geojson.io/#map=2/20.0/0.0 (accessed on 25th of August 2022).

  10. 10.

    https://covjson.org/ (accessed on 25th of August 2022).

  11. 11.

    https://eurocris.org/services/main-features-cerif (accessed on 25th of August 2022).

  12. 12.

    https://epos-eu.github.io/EPOS-DCAT-AP/#data-service (accessed on 25th of August 2022).

  13. 13.

    https://geojson.io/#map=2/20.0/0.0 (accessed on 25th of August 2022).

  14. 14.

    https://covjson.org/ (accessed on 25th of August 2022).

  15. 15.

    https://www.ics-c.epos-eu.org/ (accessed on 26th of August 2022).

  16. 16.

    https://envri.eu/envri-hub/ (accessed on 26th of August 2022).

References

  1. Hey, T., Tansley, S., Tolle, K.: The fourth paradigm. Data-Intensive Scientific Discovery Microsoft Research (2009). http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:the+fourth+paradigm#3. Accessed 07 Apr 2014

  2. Humby, C., Bugowski, A.: Data is the new oil. In: Proceedings of the ANA Sr. Mark. Summit. Evanston, IL, USA (2006). https://see.techdata.com/CatAdminHtmlContentEditor/uploads/Country/SL/UMAGpresentations/Dataisthenewoil_Andrzej_Bugowski_TechData.pdf. Accessed 24 Aug 2022

  3. T.E.G. Limited. The world’s most valuable resource is no longer oil, but data. Economist 1–4 (2017)

    Google Scholar 

  4. European Commission. Directive 2003/98/EC of the European Parliament and of the Council of 17 November 2003 on the re-use of public sector information. Off. J. Eur. Communities, vol. L 269, no. November 2003, pp. 1–15 (2003). http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32003L0098&from=en. Accessed 08 Feb 2018

  5. European Commission. European Interoperability Framework - Implementation Strategy, p. 40 (2017). https://ec.europa.eu/isa2/publications/communication-european-commission-european-interoperability-framework-implementation_en

  6. Wilkinson, M.D., et al.: The FAIR guiding principles for scientific data management and stewardship. Sci. Data 3, 160018 (2016). https://doi.org/10.1038/sdata.2016.18

    Article  Google Scholar 

  7. European Commission. European Charter for Access to Research Infrastructures: Principles and Guidelines for Access and Related Services (2015). https://ec.europa.eu/research/infrastructures/pdf/2016_charterforaccessto-ris.pdf

  8. ESFRI-European Strategy Forum on research Infrastructures. Roadmap & Strategy Report on Research Infrastructures (2018). https://doi.org/10.2777/23127

  9. Cocco, M., et al.: The EPOS research infrastructure: a federated approach to integrate solid Earth science data and services. Ann. Geophys. 65(2), 1–15 (2022). https://doi.org/10.4401/ag-8756

    Article  Google Scholar 

  10. Bailo, D., et al.: Data integration and FAIR data management in Solid Earth Science. Ann. Geophys. 65(2), DM210 (2022). https://doi.org/10.4401/ag-8742

  11. EC - European Commission, “European Cloud Initiative - Building a competitive data and knowledge economy in Europe (2016)

    Google Scholar 

  12. Wilkinson, M.D., Sansone, S.A., Schultes, E., Doorn, P., Da Silva Santos, L.O.B., Dumontier, M.: Comment: a design framework and exemplar metrics for FAIRness. Sci. Data 5, 7–10 (2018). https://doi.org/10.1038/sdata.2018.118

  13. RDA FAIR Data Maturity Model Working Group. FAIR Data Maturity Model: specification and guidelines. Res. Data Alliance, no. June, pp. 2019–2020 (2020). https://doi.org/10.15497/rda00050

  14. Sustkova, H.P., et al.: Fair convergence matrix: optimizing the reuse of existing fair-related resources. Data Intell. 2(1–2), 158–170 (2020). https://doi.org/10.1162/dint_a_00038

    Article  Google Scholar 

  15. Collins, S., et al.: Turning FAIR data into reality: interim report from the European Commission Expert Group on FAIR data. Interim Rep. from Eur. Comm. Expert Gr. FAIR data, no. June (2018). https://doi.org/10.5281/zenodo.1285272

  16. Marti, M., Haslinger, F., Peppoloni, S., Di Capua, G., Glaves, H., Dallo, I.: Addressing the challenges of making data, products, and services accessible: an EPOS perspective. Ann. Geophys. 65(2), DM212 (2022). https://doi.org/10.4401/ag-8746

  17. European Commission. Cost of not having FAIR research data (2018)

    Google Scholar 

  18. Lamprecht, A.-L., et al.: Towards FAIR principles for research software. Data Sci. 3(1), 37–59 (2019). https://doi.org/10.3233/ds-190026

    Article  Google Scholar 

  19. Hasselbring, W., Carr, L., Hettrick, S., Packer, H., Tiropanis, T.: From FAIR research data toward FAIR and open research software. IT - Inf. Technol. 62(1), 39–47 (2020). https://doi.org/10.1515/itit-2019-0040

    Article  Google Scholar 

  20. Koers, H., Bangert, D., Hermans, E., van Horik, R., de Jong, M., Mokrane, M.: Recommendations for services in a FAIR data ecosystem. Patterns 1(5), 100058 (2020). https://doi.org/10.1016/j.patter.2020.100058

    Article  Google Scholar 

  21. Nativi, S., Craglia, M., Pearlman, J.: The brokering approach for multidisciplinary interoperability: a position paper. Int. J. Spat. Data Infrastruct. 7, 1–15 (2012). https://doi.org/10.2902/1725-0463.2012.07.art1

  22. Nagarajan, M., Verma, K., Sheth, A.P., Miller, J., Lathem, J.: Semantic interoperability of Web services - challenges and experiences. In: IEEE International Conference on Web Services, ICWS 2006, pp. 373–380 (2006). https://doi.org/10.1109/ICWS.2006.116

  23. Bailo, D., Paciello, R., Sbarra, M., Rabissoni, R., Vinciarelli, V., Cocco, M.: Perspectives on the implementation of FAIR principles in solid earth research infrastructures. Front. Earth Sci. 8 (2020). https://doi.org/10.3389/feart.2020.00003

  24. Nativi, S., Jeffery, K.G., Koskela, R.: RDA: brokering with metadata. ERCIM News, no. 100, pp. 26–27 (2015)

    Google Scholar 

  25. Minadakis, N., et al.: X3ML framework: an effective suite for supporting data mappings. In: CEUR Workshop Proceedings, vol. 1656, pp. 1–12 (2015). https://pdfs.semanticscholar.org/0eb9/eaa92f051b629691426f70200dec98262b27.pdf. Accessed 06 April 2018

  26. Trani, L., Atkinson, M., Bailo, D., Paciello, R., Filgueira, R.: Establishing core concepts for information-powered collaborations. Futur. Gener. Comput. Syst. 89, 421–436 (2018). https://doi.org/10.1016/j.future.2018.07.005

    Article  Google Scholar 

  27. Jeffery, K., Houssos, N., Jörg, B., Asserson, A.: Research information management: the CERIF approach. Int. J. Metadata Semant. Ontol. 9(1) (2014). http://inderscience.metapress.com/index/VL5422N2U7112669.pdf. Accessed 16 Apr (2014)

  28. Bailo, D., Jeffery, K.G.: EPOS: a novel use of CERIF for data-intensive science. Procedia Comput. Sci. 33, 3–10 (2014). https://doi.org/10.1016/j.procs.2014.06.002

    Article  Google Scholar 

  29. Jeffery, K.G., Bailo, D.: EPOS: using metadata in geoscience. In: Closs, S., Studer, R., Garoufallou, E., Sicilia, M.-A. (eds.) MTSR 2014. CCIS, vol. 478, pp. 170–184. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-13674-5_17. Accessed 19 Nov 2014

    Chapter  Google Scholar 

  30. Paciello, R., Trani, L., Bailo, D., Sbarra, M.: EPOS-DCAT-AP 2.0 – State of play on the Application Profile for metadata exchange in the EPOS RI (2022)

    Google Scholar 

  31. Petzold, A., et al.: ENVRI-fair-interoperable environmental fair data and services for society, innovation and research. In: Proceedings - IEEE 15th International Conference on eScience, eScience 2019, no. 824068, pp. 277–280 (2019). https://doi.org/10.1109/eScience.2019.00038

  32. Spinuso, A., Veldhuizen, M., Bailo, D., Vinciarelli, V., Langeland, T.: SWIRRL. Managing provenance-aware and reproducible workspaces. Data Intell. 4(2), 243–258 (2022). https://doi.org/10.1162/dint_a_00129

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to acknowledge the following projects and initiatives for financing part of the activities: EPOS-IP, European Commission H2020 program, Grant agreement ID 676564; ENVRI-FAIR, European Commission H2020 program, Grant agreement ID 824068; EPOS-ERIC (https://www.epos-eu.org/epos-eric) for sustainability and management.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Daniele Bailo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bailo, D. et al. (2023). Integrated Access to Multidisciplinary Data Through Semantically Interoperable Services in a Metadata-Driven Platform for Solid Earth Science. In: Garoufallou, E., Vlachidis, A. (eds) Metadata and Semantic Research. MTSR 2022. Communications in Computer and Information Science, vol 1789. Springer, Cham. https://doi.org/10.1007/978-3-031-39141-5_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-39141-5_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-39140-8

  • Online ISBN: 978-3-031-39141-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics