Kiel/Hamburg, 25 January 2016:
The ZBW starts a new big-budget European project with nine international partners from Greece, Germany, Austria, Slovenia, Poland and the UK in April. MOVING aims to build a working environment for the qualitative and quantitative analysis of large collections of documents and data. The ZBW is the research partner for text and data mining under the direction of Professor Ansgar Scherp and also the scientific coordinator of MOVING, and contributes its expertise in the field of Science 2.0 to the project.
The number of published scientific collections of documents and data grows rapidly. According to recent estimates, the number of scholarly publications worldwide doubles very ten years. Coping with such vast amounts of information poses a major challenge for scientists and innovation managers. They have to sift vast amounts of literature, research data, websites, tenders and social media, such as blog posts, to find the facts relevant to them, and all this under pressure of time. Fortunately, computer science offers many methods and algorithms to manage huge amounts of documents and data. Unfortunately, most of these can only be operated by experts.
The ZBW – Leibniz Information Centre for Economics wants to change this with its project MOVING. In cooperation with nine international partner institutions it plans to develop a working environment that enables users to analyse large collections of documents and data both quantitatively and qualitatively. “MOVING aims to bring order to the flood of information from scholarly publications, research data, websites, tenders and social media with the help of text and data mining methods,” says Ansgar Scherp, scientific coordinator of the project and professor of Knowledge Discovery at the ZBW. He continues: “We don’t want to simply give end users analytical tools to organise information. We want to enable them to understand the structures arising from these tools, to assess them and to shape them. We want network visualisation to enable them to find exactly that random sample in the entire data sample which is relevant to them. The methodical procedure can be completely different for different disciplines or even research questions. Our focus will be first on economists and social scientists as well as innovation managers and scouts in public institutions.”
MOVING is designed as a three-dimensional research project. Parallel to the digital working environment there will be a training environment for digital information and innovation management and as the third dimension a community of practice, where users can consult with and support each other. Ansgar Scherp again: “We assume that digital information and innovation management will be as important a cultural technique as reading and writing. That is why the training component plays such a fundamental part beside the working environment.”
MOVING is the second international research project initiated by the ZBW under Professor Klaus Tochtermann which addresses Science 2.0 in the context of Horizon 2020. The first was the EU project EEXCESS started in 2013. With this project the ZBW continuously expands its research activities at the European level.
About MOVING – Training towards a society of data-savvy information professionals to enable open leadership innovation:
MOVING – Training towards a society of data-savvy information professionals to enable open leadership innovation is an interdisciplinary EU Research and Innovation Action (RIA) focussing on computer and media sciences. The project partners are based in Greece, Germany, Austria, Slovenia, Poland and the UK and encompass the following institutions beside the ZBW: Centre for Research and Technology Hellas (Greece), Technical University of Dresden (Germany), KNOW Center GmbH (Austria), Institute Jozef Stefan (Slovenia), University of Manchester (UK), GESIS – Leibniz Institute for the Social Sciences (Germany), Progress and Business Foundation (Poland) and Ernst & Young GmbH Wirtschaftsprüfungsgesellschaft (Germany). These partners from academia, business and research transfer aim to develop a working and training platform that on one hand enables users from academia, business and society to handle and to understand large amounts of documents and data, and on the other hand fosters the skills of researchers and users in digital information and innovation management. The project starts in April 2016 and is funded with 3.5 million Euros for a duration of three years.