Suchergebnisse

In May 2013, LIBER, the Association of European Research Libraries, coordinated the withdrawal of research and industry end-user representatives from the Licences for Europe stakeholder dialogue on text and data mining (TDM). The reason? Because a dialogue which focused on licencing as a solution for TDM was not in the interest of the end-user or reducing barriers to data driven innovation. Since then LIBER has worked to bring a broader representation of stakeholders together to discuss barriers to the use of TDM. The European Commission also launched a consultation on the copyright framework, opening the door for libraries to effect real changes in the copyright system in order to accommodate, and foster, advances in research in the digital age. At the same time publishers such as Elsevier and Nature have launched their own TDM services and policies. The launch of these services are a welcome development, but, if the terms of service are too restrictive, it may be that libraries are signing away the rights of end-users over the long term for access in the short term. This paper will explore: - The barriers to data driven innovation as identified in our work with stakeholders - The LIBER position on the need for legislation change to accommodate text data mining - Why licencing is not a scalable and long term approach to facilitating text and data mining

In 2016, the United States elected a populist president who had no public service, legal or military experience. Donald J. Trump was a New York real estate developer, known for his involvement in the Miss Universe Pageant, World Wide Wrestling and the reality television show, The Apprentice. Although the news media covered his unorthodox campaign extensively, after the election, the new president turned on the press, repeatedly accusing it of publishing 'fake news' about him and his administration and going so far as to call the press 'the enemy of the people'. Alarmed by these accusations, journalists are discovering that without civics education in the public schools, US citizens no longer understand the role a free press plays in a democracy.

EXECUTIVE Summary This brief outlines simplified Open Science Learning Objectives for the main stakeholders in the Research Ecosystem. Learning Objectives are structured by Open Science Topics according to a functional Open Science Taxonomy (Pontica et al., 2015), that accompany the main responsibilities of each stakeholders along the Research Lifecycle. The ultimate objective is to support the integration of Open Science best practices into the daily routine of performing and supporting research, to underpin implementation of Horizon 2020 Mandate on Access to Scientific Information, and augment the "societal impact" and uptake of research, for the benefit of all stakeholders in the knowledge creation process (ultimately underpinning "co-creation"). Specific Learning Objectives are structured in increasing level of competence, frequently ending with successful integration of Open Science best practices in the daily research routine, facilitating self-assessment of the personal workflow. The Learning Objectives can provide a backbone for a structured learning plan for Doctoral Schools with the ambition to train future researchers in optimizing their societal impact, alongside research excellence training, as well as preparing graduates for new and emerging research impact measures and criteria. Support with relevant training content will be provided in parallel through the FOSTER Portal and accompanying e-Learning and self-learning modules. The brief draws on FP7 FOSTER Work Packages 2 Content, WP3 Portal (Open Science Taxonomy, and learning portal infrastructure) and WP4 Training (Deliverable D4.5 Training ToolKit). RATIONALE: The political drive for Open Science from the funding agency (EC[1]) point of view is mainly Return On Investment (ROI), ethics (taxpayer access to public funded research), and stimulating Open Innovation[2] through free-flow of ideas in order to boost economic growth through transfer of knowledge to the knowledge-based Small/Medium Enterprises (SMEs). The Open Science community of ...