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.
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.
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.
On February 20th 2017, Agroknow had the pleasure to host a workshop at the premises of the Agricultural University of Athens (AUA). The workshop was organized together with colleagues from the Laboratory of Viticulture.
You will not catch Steven Claeyssens carrying a smartphone and he will always prefer a paper book to an e-reader. Yet he is the curator of digital collections at the National Library of the Netherlands. I interviewed him about his job, text and data mining (TDM) in the humanities and the role of libraries in the research landscape.
How is a scientific paper structured and how related is it to other papers? These are some of the things that Iana Atanassova of the University of Bourgogne Franche-Comte (Besancon, France) focuses on in her research. She uses text and data mining (TDM) to study full-text scientific articles. Studying these papers can be a challenge, as they are usually in a format that is hard to process.