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Interoperability of Research Data

Interoperability of Research Data. Donatella Castelli CNR-ISTI d onatella.castelli@isti.cnr.ir. Data-driven science. Paper/report. Product. S1. Work Flow. Sw tool. S2. S3. Research and scientific advice to policy makers are increasingly based on data. Supporting environments.

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Interoperability of Research Data

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  1. Interoperability of Research Data Donatella Castelli CNR-ISTI donatella.castelli@isti.cnr.ir

  2. Data-driven science Paper/report Product S1 Work Flow OAI8 Conference, 19-21 June 2013, Geneva Sw tool S2 S3 Research and scientific advice to policy makers are increasingly based on data

  3. Supporting environments • The set and type of scientific products that can be generated is largely influenced by the available IT supporting environment • The power of an environment is a function of the available tools and of the collections of data that can be easily exploited by these tools OAI8 Conference, 19-21 June 2013, Geneva To maximize the data collections that can be exploited by the most effective tools (for each target task)

  4. Crossing project and community boundaries • Data are collected by projects with a limited temporal and geographical coverage • stored in different archives • with different metadata descriptions • with different granularity and quality • with different access and usage policies • Addressing current scientific challenges requires working with • data from multiple projects in the same domain • data collected and produced in multiple domains OAI8 Conference, 19-21 June 2013, Geneva

  5. Interoperability issue The consumer service must be interoperable with the data provider services The solution implemented by the consumer service must supports interoperability across multiple data provider services OAI8 Conference, 19-21 June 2013, Geneva “The ability of two or more systems or components to exchange information and to use the informationthat has been exchanged” IEEE Computer Glossary Interoperability

  6. Interoperability facets • The consumer is able to access “meaningful” data • Syntactic, structural and semantic aspects Exchangeability The consumercan effectively use the accessed data in ordertoperformtarget tasks • Quality mismatching • Right temporal coverage • Data-incomplete mismatching The consumer policies are compatible with those regulating the data source • Consumer and Provider Organizations are mutually • trusted • Terms of Usage and Usage policies are compatible Compatibility OAI8 Conference, 19-21 June 2013, Geneva Usability

  7. Interoperability across multiple heterogeneous data sources for supporting multiple usages is a too complex problem to be addressed with ad hoc-solutions OAI8 Conference, 19-21 June 2013, Geneva

  8. Data e-infrastructure e-Infrastructure Electronic platformoperated by a responsibleentityoffering an open set of basicenablingservices(includingaccess to resources) to a distributedCommunity of Practice. By exploitingthesesharedservices the members of the Community of Practicerealiseeconomies of scale. A data infrastructure offers services for dealing with data (e.g. access, management, curation, ….) OAI8 Conference, 19-21 June 2013, Geneva

  9. iMarinedata infrastructure www.i-marine.eu Supports a Community of Practiceaimingatimplementing the principles of the Ecosystem Approach to Fisheries Management and Conservation of Marine Living Resources OAI8 Conference, 19-21 June 2013, Geneva Analysis and processing of a large amountof heterogeneousdata from multiple domains

  10. Virtual Research Environments OAI8 Conference, 19-21 June 2013, Geneva

  11. Multiple data sourcesMultiple sw tools OAI8 Conference, 19-21 June 2013, Geneva n:m

  12. Example 1 Numerical Table ISO 19115/19139 OAI8 Conference, 19-21 June 2013, Geneva n:m

  13. Example 2 LOD Darwin Core OAI8 Conference, 19-21 June 2013, Geneva n:m

  14. Example 3 Darwin Core ISO 19115/19139 OAI8 Conference, 19-21 June 2013, Geneva n:m

  15. iMarine solutions Standards Controlled vocabularies Generic frameworks and plug-ins Mechanisms for improving data qualityand completeness OAI8 Conference, 19-21 June 2013, Geneva

  16. Still many open issues Many different standards Many plug-ins Evolving controlled vocabularies Lack of explicit representation of contextual information (e.g. policies) Context dependent interpretations (e.g. quality) OAI8 Conference, 19-21 June 2013, Geneva

  17. Concluding remarks Supporting interoperability across heterogeneous data sources for different tasks is an extremely complex problem Data infrastructures can help by providing shared solutions Complexity can only managed with a more in-depth understanding of the problems and a more systematic approach to them OAI8 Conference, 19-21 June 2013, Geneva

  18. OAI8 Conference, 19-21 June 2013, Geneva AppliFish www.i-marine.eu Thank you

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