[u" @inproceedings{pena_visual_2014, address = {Nancy, France}, title = {Visual {Analysis} of a {Research} {Group}\u2019s {Performance} thanks to {Linked} {Open} {Data}}, abstract = {Managing data within a research unit is not a trivial task due to the high number of entities to deal with: projects, researchers, publications, attended events, etc. When all these data are exposed on a public website, the need to have it updated is fundamental to avoid getting an incorrect impression of the group's performance. As research centres websites are usually quite static, external documents are generated by managers, resulting in data redundancy and out-of-date records.", u"In this paper, we show our efforts to manage all these data using Labman, a web framework that deals with all the data, links entities and publishes them as Linked Open Data, allowing to get insightful information about the group's productivity using visual analytics and interactive charts.}, language = {English}, booktitle = {Linked {Data} for {Knowledge} {Discovery}}, author = {Pe\xf1a, Oscar and L\xe1zaro, Jon and Almeida, Aitor and Ordu\xf1a, Pablo and Aguilera, Unai and L\xf3pez-de-Ipina, Diego}, year = {2014}, note = {00000}, keywords = {Artificial Intelligence, Data analysis, Data management, Linked Open Data, labman, linked data, visualization}, pages = {59--68}, } "]