[u' @inproceedings{pena_labman:_2015, address = {Manchester, United Kingdom}, series = {Communications in {Computer} and {Information} {Science}}, title = {Labman: {A} {Research} {Information} {System} to {Foster} {Insight} {Discovery} {Through} {Visualizations}}, copyright = {\xa92015 Springer International Publishing Switzerland}, isbn = {978-3-319-24128-9 978-3-319-24129-6}, shorttitle = {Labman}, url = {http://link.springer.com/chapter/10.1007/978-3-319-24129-6_25}, doi = {10.1007/978-3-319-24129-6_25}, abstract = {Effective handling of research related data is an ambitious goal, as many data entities need to be suitably designed in order to model the distinctive features of different knowledge areas: publications, projects, people, events and so on. A well designed information architecture prevents errors due to data redundancy, outdated records or poor provenance, allowing both internal staff and third parties reuse the information produced by the research centre. Moreover, making the data available through a public, Internet accessible portal increases the visibility of the institution, fostering new collaborations with external centres. However, the lack of a common structure when describing research data might prevent non-expert users from using these data. Thus we present labman, a web-based information research system that connects all the actors in the research landscape in an interoperable manner, using metadata and semantic descriptions to enrich the stored data.', u'Labman presents different visualizations to allow data exploration and discovery in an interactive fashion, relying on humans\u2019 visual capacity rather than an extensive knowledge on the research field itself. Thanks to the visual representations, visitors can quickly understand the performance of experts, project outcomes, publication trajectory and so forth.}, language = {en}, urldate = {2015-09-21}, booktitle = {Metadata and {Semantics} {Research}}, publisher = {Springer International Publishing}, author = {Pe\xf1a, Oscar and Aguilera, Unai and Almeida, Aitor and L\xf3pez-de-Ipi\xf1a, Diego}, editor = {Garoufallou, Emmanouel and Hartley, Richard J. and Gaitanou, Panorea}, year = {2015}, note = {00000}, keywords = {Artificial Intelligence, Data analysis, Database Management, Information Storage and Retrieval, Linked Open Data, Research Information System, labman, visualization}, pages = {286--297}, } ']