Agris on-line Papers in Economics and Informatics

Faculty of Economics and Management CULS Prague, Kamýcká 129, 165 00 Praha - Suchdol

The international peer-reviewed scientific journal, ISSN 1804-1930


Geospatial Data Infrastructure Components Deployed for LTER -Europe Researchers’ Community

T. Kliment, P. Carrara, A. Oggioni

Agris on-line Papers in Economics and Informatics, No 4 /2015, December

pp. 65-78

Kliment, T., Carrara, P. and Oggioni, A. (2015) “Geospatial Data Infrastructure Components Deployed for LTER-Europe Researchers’ Community”, AGRIS on-line Papers in Economics and Informatics, Vol. 7, No. 4, pp. 65 - 78, ISSN 1804-1930.

Abstract

Assessing the status and trends of the environment requires the collection, management and publication of spatially referred observations. Since many years, Long-Term Ecological Research sites in Europe collect ecological data, resulting in long-term data series. Nowadays, advanced software tools can enable discovering, accessing, and distributing collected data in a user friendly way. Based on Open Geospatial Consortium (OGC) standards, Web based Geographic Information System allows access to interoperable distributed repositories of observations. The present paper gives an overview of the methods and solutions proposed and tested in the LIFE+ project EnvEurope for the community of researchers of the Long-Term Ecosystem Research (LTER) Network in Europe. These solutions consist in a straightforward online environment for metadata management and discovery, shaped on the ecological community and its practices; components of a Spatial Data Infrastructure including both a network of repositories deploying observations via OGC SOS (Sensor Observation Service) services and Web user interfaces to access and visualize them. The success of the presented approach is linked to the development and availability of easy to define, ready to use tools, enabling site managers to create their own repositories and services.

Keywords

Geospatial data infrastructure (GDI); metadata; observations; LTER Network; DEIMS; INSPIRE; Sensor Observation Service (SOS).

References

  1. Fadamescu, M., Cazacu, C., Peterseil, J., Datcu, S., Schleidt, K. Report on LTER InfoBase, 2007.
  2. Adamescu, M., Peterseil, J., Dactu, S., Cazacu, C., Vadineanu, A. Elements for the design of a General Ecological Database. In: Maurer, I. and Tochtermann, K. (eds.) Information and Communication Technologies for Biodiversity and Agriculture. Shaker Verlag, Aachen, 2010. p. 49-66. ISBN 978-3832284596.
  3. Bermudez, L., Cook, T., Forrest, D., Bogden, P., Galvarino, C., Bridger, E., Creager, G., Graybeal, J. Web feature service (WFS) and sensor observation service (SOS) comparison to publish time series data. In: Collaborative Technologies and Systems, 2009. CTS'09. International Symposium on. IEEE, 2009. p. 36-43. ISBN 978-1-4244-4584-4.
  4. Botts, M., Percivall, G., Reed, C., Davidson, J. OGC® sensor web enablement: Overview and high level architecture. In: GeoSensor networks. Springer Berlin Heidelberg, 2008. p. 175-190. ISBN 978-3-540-79995-5 (Print), 978-3-540-79996-2 (Online).
  5. Cibulka, D. Performance Testing of Web Map Services in three Dimensions–X, Y, Scale. Slovak Journal of Civil Engineering. 2013, Vol. 21, No. 1, p. 31-36. e-ISSN 1210-3896, ISSN 1338-3973.
  6. European Commission (2007). Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007 establishing an Infrastructure for Spatial Information in the European Community (INSPIRE). Published in the official Journal on the 25th April, 2007.
  7. European Commission (2008). Commission Regulation (EC) No. 1205/2008 of 3 December 2008 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards Metadata.
  8. Gurin, J. Open data now: the secret to hot startups, smart investing, savvy marketing, and fast innovation. McGraw Hill Education, 2014.ISBN 978-0-07-182977-9, e-ISBN 978-0-07-182978-6.
  9. Haberl, H., Winiwarter, V., Anderson, K., P., Ayres, R. U. From LTER to LTSER: Conceptualizing the socioeconomic dimension of long-term socioecological research. Ecology and society. 2006, Vol. 11, No. 2, p. 256-289. ISSN: 1708-3087.
  10. Horák, J., Ardielli, J., Růžička, J. Performance testing of web map services. In: New Challenges for Intelligent Information and Database Systems. Springer Berlin Heidelberg. 2011, p. 257-266. ISBN 978-3-642-19952-3 (Print), e-ISBN 978-3-642-19953-0.
  11. Karasti, H., Baker, K. S. Digital data practices and the long term ecological research program growing global. International Journal of Digital Curation. 2008, Vol. 3, No. 2, p. 42-58. ISSN 1746-8256.
  12. Kliment, T., Oggioni, A. EnvEurope (LTER Europe) Metadata Specification for Dataset Level. EnvEurope Project Deliverable A1.1.2b, Project report, 2011. 82 pp.
  13. Kliment, T., Oggioni, A. Crosswalk between EnvEurope (EML) and INSPIRE (EN ISO) metadata profiles – a step towards SEIS. Joint International Conference “Biological reactions of forests to climate change and air pollution”, 21-24 May, 2012, Kaunas, Lithuania.
  14. Kliment, T., Peterseil, J., Oggioni, A., Pugnetti, A., Blankman, D. Life+ EnvEurope DEIMS-improving access to long-term ecosystem monitoring data in Europe. In: EGU General Assembly Conference Abstracts. 2013, p. 4920.
  15. Kliment, T., Tuchyňa, M., Kliment, M. Methodology for conformance testing of spatial data infrastructure components including an example of its implementation in Slovakia. Slovak Journal of Civil Engineering, 2012, Vol. 20, No. 1, p. 10-20. e-ISSN 1210-3896, ISSN 1338-3973.
  16. Lackóová, L., Halászová, K., Kliment, M., Urban, T. Wind erosion intensity determination using soil particle catcher devices. Journal of Central European Agriculture. 2013, Vol. 14, No. 4., p. 1347-1355, ISSN 1332-9049.
  17. Lopez-Pellicer, F., J., Latre, M. Á., Nogueras-Iso, J., Zaragoza-Soria, J., Barrera, J. Behaviour-driven development applied to the conformance testing of INSPIRE Web services. In: Connecting a Digital Europe Through Location and Place. Springer International Publishing. 2014, p. 325-339. ISBN 978-3-319-03610-6, e-ISBN978-3-319-03611-3.
  18. Metzger, M. J., Bunce, R.G.H., Eupen, M., Mirtl, M. An assessment of long term ecosystem research activities across European socio-ecological gradients. Journal of environmental management. 2010, Vol. 91, No. 6, p. 1357-1365. ISSN 0301-4797.
  19. Michener, W., K. Meta-information concepts for ecological data management. Ecological informatics. 2006, Vol. 1, No. 1, p. 3-7. ISSN 1574-9541.
  20. Mirtl, M. Introducing the next generation of ecosystem research in Europe: LTER-Europe’s multifunctional and multi-scale approach. In: Long-Term Ecological Research. Springer Netherlands. 2010, p. 75-93. ISBN 978-90-481-8782-9.
  21. Mirtl, M., Krauze, K. Developing a new strategy for environmental research, monitoring and management: The European Long-Term Ecological Research Network’s (LTER-Europe) role and perspectives. Nature conservation management–From idea to practical results. 2007, Vol. 36-52, ISBN 978-8387414986.
  22. Na, A., Priest, M. Sensor observation service. Implementation Standard OGC, 2007.
  23. Nogueras-Iso, J., Zarazaga-Soria, F. J., Muro-Medrano, P., R. Geographic information metadata for spatial data infrastructures. Resources, Interoperability and Information Retrieval, 2005. ISBN 978-3-540-24464-6. e-ISBN 978-3-540-27508-4.
  24. Peterseil, J., Kliment, T., Oggioni, A., Schentz, H., Blankman, D., Schleidt, K. Manual on Data Management Standards for LTER Europe. EnvEurope Project Report A1.4.1, 2012. p. 91.
  25. Peterseil, J., Mirtl, M. Site description metadata schemata. EnvEurope Project Report A1.1.2a, 2012, p. 53.
  26. A. Pugnetti, F. Acri, F. Bernardi Aubry, E. Camatti, E. Cecere, C. Facca, P. Franzoi, E. Keppel, A. Lugliè, M. Mistri, C. Munari, B. M. Padedda, A. Petrocelli, F. Pranovi, S. Pulina, C. T. Satta, N. Sechi, A. Sfriso, M. Sigovini, D. Tagliapietra, P. Torricelli. The Italian Long-Term Ecosystem Research (LTER-Italy) network: results, opportunities, and challenges for coastal transitional ecosystems. Transitional Waters Bulletin. 2013, Vol. 7, No. 1, p. 43-63. ISSN 1825-229X.
  27. Rumbaugh, J., Jacobson, I., Booch, G. Unified Modeling Language Reference Manual. The. Pearson Higher Education. 2004. ISBN:0321245628.
  28. San Gil, I., Baker, K., Campbell, J., Denny, E. G., Vanderbilt, K., Riordan, B., Koskela, R., Downing, J., Grabner, S., Melendez, E., Walsh, J. M., Kortz,M., Conners, J., Yarmey, L., Kaplan, N., Boose, E. R., Powell, L., Gries, C., Schroeder, R., Ackerman, T., Ramsey, K., Benson, B., Chipman, J., Laundre, J., Garritt, H., Henshaw, D., Collins, B., Gardner, Ch., Bohm, S., O'Brien, M., Gao, J., Sheldon, S., Lyon, W., Bahauddin, D., Servilla, M., Costa, D., Brunt, J. The Long-Term Ecological Research community metadata standardisation project: a progress report. International Journal of Metadata, Semantics and Ontologies. 2009, Vol. 4., No. 3, p. 141-153. ISSN 1744-2621, e-ISSN 1744-263X.
  29. San Gil, I., Hutchinson, V., Frame, M., Palanisamy, G. Metadata Activities in Biology. Journal Library Metadata. 2010, Vol. 10, No. 2-3, p. 99-118. ISSN 1938-6389, e-ISSN 1937-5034.
  30. The Knowledge Network For Biocomplexity. Ecological Metadata Language (EML) Specification. 2014.

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