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.
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 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.
Marc Bertin is assistant professor at the University of Toulouse uses text and data mining to study scientific papers. Text and data mining can help us move from an information society to a knowledge society, but not without open access to research papers.
Are you looking for support or training for text and data mining? Then you’re at the right place! OpenMinTeD recently released a Knowledge Base, that will host open access support and training material. At the moment we are still in the process of uploading content, but you can already have a look.
Text and data mining is important to different scientific communities, but what do these different user communities need to mine succesfully? One of the aims of workpackage 4 of the OpenMinTeD project is to collect these requirements. This was done using a combination of methods, including online surveys and focus groups. The results are summarized in the ‘White paper on OpenMinTed Community Requirements’ that was finished last week.