Rusty Speidel - Center for Open Science
Part of the challenge with making research more open and transparent is purely logistical. Where and how can the research be stored, organized, and shared most effectively when there are so many different tools, processes and policies in place? The OSF provides an open source, structured environment where researchers from all over the world, using their own tools and processes, can collaborate openly, transparently, and effectively.
Duration: 1 hour
DOAJ is a well-established reality, but needs to be more utilised and developed worldwide in order to obviate the perceived need for lists of questionable publishers. DOAJ is a service – not only to researchers, funders and managers – but also for librarians and commercial content aggregators. This workshop could be the occasion to collect opinions on DOAJ from participants in order to shape its future evolution and developments.
Organisers: Open Knowledge Maps
Duration: 1 hour
This tutorial introduces participants to an innovative discovery tool that is built on top of the open science infrastructure. It showcases the value of open for all stakeholders beyond open access to research outputs. Participants will go on a scientific scavenger hunt in an unknown research field that is intended to improve their own discovery process, including ample time for feedback and discussion.
Duration: 1 hour
OpenMinTed is a platform focusing on TDM for scientific works.
Recent years witness an upsurge in the quantities of digital research data, offering new insights and opportunities for improved understanding. Text and data mining is emerging as a powerful tool for harnessing the power of structured and unstructured content and data, by analysing them at multiple levels and in several dimensions to discover hidden and new knowledge. However, text mining solutions are not easy to discover and use, nor are they easily combinable by end users. OpenMinTeD aspires to enable the creation of an infrastructure that fosters and facilitates the use of text mining technologies in the scientific publications world, builds on existing text mining tools and platforms, and renders them discoverable and interoperable through appropriate registries and a standards-based interoperability layer, respectively. It supports training of text mining users and developers alike and demonstrates the merits of the approach through several use cases identified by scholars and experts from different scientific areas, ranging from generic scholarly communication to literature related to life sciences, food and agriculture, and social sciences and humanities. Through its infrastructural activities, OpenMinTeD’s vision is to make operational a virtuous cycle in which a) primary content is accessed through standardised interfaces and access rules b) by well-documented and easily discoverable text mining services that process, analyse, and annotate text c) to identify patterns and extract new meaningful actionable knowledge, which will be used d) for structuring, indexing, and searching content and, in tandem, e) acting as new knowledge useful to draw new relations between content items and firing a new mining cycle.