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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
https://www.auscope.org.au/ (accessed on 24th of August 2022).
- 2.
https://www.ogc.org/ (accessed on 24th of August 2022).
- 3.
https://www.geoportal.org/?m:activeLayerTileId=osm&f:dataSource=dab (accessed on 24th of August 2022).
- 4.
https://www.earthobservations.org/index.php (accessed on 24th of August 2022).
- 5.
https://maracoos.org/ (accessed on 24th of August 2022).
- 6.
https://maracoos.org/index.php/tools/ (accessed on 24th of August 2022).
- 7.
https://geonetwork-opensource.org/ (accessed on 25th of August 2022).
- 8.
https://ckan.org/ (accessed on 25th of August 2022).
- 9.
https://geojson.io/#map=2/20.0/0.0 (accessed on 25th of August 2022).
- 10.
https://covjson.org/ (accessed on 25th of August 2022).
- 11.
https://eurocris.org/services/main-features-cerif (accessed on 25th of August 2022).
- 12.
https://epos-eu.github.io/EPOS-DCAT-AP/#data-service (accessed on 25th of August 2022).
- 13.
https://geojson.io/#map=2/20.0/0.0 (accessed on 25th of August 2022).
- 14.
https://covjson.org/ (accessed on 25th of August 2022).
- 15.
https://www.ics-c.epos-eu.org/ (accessed on 26th of August 2022).
- 16.
https://envri.eu/envri-hub/ (accessed on 26th of August 2022).
References
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
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
T.E.G. Limited. The world’s most valuable resource is no longer oil, but data. Economist 1–4 (2017)
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
European Commission. European Interoperability Framework - Implementation Strategy, p. 40 (2017). https://ec.europa.eu/isa2/publications/communication-european-commission-european-interoperability-framework-implementation_en
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
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
ESFRI-European Strategy Forum on research Infrastructures. Roadmap & Strategy Report on Research Infrastructures (2018). https://doi.org/10.2777/23127
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
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
EC - European Commission, “European Cloud Initiative - Building a competitive data and knowledge economy in Europe (2016)
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
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
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
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
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
European Commission. Cost of not having FAIR research data (2018)
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
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
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
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
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
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
Nativi, S., Jeffery, K.G., Koskela, R.: RDA: brokering with metadata. ERCIM News, no. 100, pp. 26–27 (2015)
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
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
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)
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
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
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)
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
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
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
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
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)