- Cite this paper as:
- Manghi P., Mannocci A. (2013) Data Searchery. In: Aalberg T., Papatheodorou C., Dobreva M., Tsakonas G., Farrugia C.J. (eds) Research and Advanced Technology for Digital Libraries. TPDL 2013. Lecture Notes in Computer Science, vol 8092. Springer, Berlin, Heidelberg
The novel e-Science’s data-centric paradigm has proved that interlinking publications and research data objects coming from different realms and data sources (e.g. publication repositories, data repositories) makes dissemination, re-use, and validation of research activities more effective. Scholarly Communication Infrastructures are advocated for bridging such data sources, by offering tools for identification, creation, and navigation of relationships. Since realization and maintenance of such infrastructures is expensive, in this demo we propose a lightweight approach for “preliminary analysis of data source interlinking” to help practitioners at evaluating whether and to what extent realizing them can be effective. We present Data Searchery, a configurable tool enabling users to easily plug-in data sources from different realms with the purpose of cross-relating their objects, be them publications or research data, by identifying relationships between their metadata descriptions.
KeywordsInteroperability Interlinking Research Data Publications
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