A start-up’s perspective on TDM
Mads Rydahl has a small start-up that applies machine learning to scientific publishing. Thanks to their deep partnership with Springer Nature, they can build value added services inside their platform.
Author Archive
On the role of a university library in the TDM landscape
25 years ago, when Laurents Sesink was still a history student, his thesis on political internal relations included a lot of reading and tally marks. Back then he already thought “There must be a better way to do this”, so he built a database and started to get into informatics and digitisation. Now he is the head of the Centre for Digital Scholarship at the library of Leiden University.
We look at recommending articles to users
Daniel Kershaw works at Mendeley, where he uses text and data mining to recommend relevant articles to users. A lot of the issues in this work have to do with inconsistencies between data sources from different journals.
OpenMinTeD Partner presents VITIS pilot application at RDA’s IGAD pre-meeting
The 9th Plenary Meeting of the Research Data Alliance (RDA) took place in Barcelona, Spain, from 5 to 7 April 2017. The RDA Plenary Meetings constitute a major event where more than 4000 members from 100 countries come together to discuss, develop and promote data-sharing and data-driven research infrastructure through Working and Interest Groups. The Interest Group on Agricultural Data (IGAD) pre-meeting took place just a couple of days before the 9th RDA plenary meeting, from 3 to 4 April 2017 and attracted more than 100 participants from all over the world.
A two-fold approach to measuring impact
Mike Lauruhn works at Elsevier and uses text and data mining to help researchers measure their impact factor. More specifically, he wants to know if there is a link between using a database for Arabidopsis data and the likeliness of being cited.
New publication: A Framework for Collaborative Curation of Neuroscientific Literature
Frontiers in Neuroinformatics has just released a new paper by O’Reilly, Iavarone and Hill. It describes a systematic framework to curate neuroscientific literature. This framework provides an easier and more reliable way to integrate published data into neuronal models. The work was done in the context of the OpenMinTeD and Blue Brain projects.