Training sessions

OSFair2017 features a number of training sessions related to different aspects of Open Science and how this is implemented and embeded in the research lifecycle.

Training sessions

OpenMinTeD Platform Training: Discover the power of TDM

Organisers: OpenMinTeD
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.

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Fostering the practical implementation of Open Science in Horizon 2020 and beyond

Organisers: FOSTER
Duration: 3 hrs.

Session 1 (14:00 - 15:30) - researchers.
Session 2 (16:00 - 17:30) - policymakers

This workshop will showcase some of the elements required for the transition to Open Science: services and tools, policies as guidance for good practices, and the roles of the respective actors and their networks.

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Increasing Research Transparency Using the Open Science Framework

Organisers: Rusty Speidel - Center for Open Science
Duration: 1 hour
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.

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DOAJ and Open Access publishing: learn more and discover our services

Organisers: DOAJ
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.

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FAIR metrics - Starring your data sets

Organisers: Ingrid Dillo, Elly Dijk, Peter Doorn, Marjan Grootveld, Ellen Leenarts - Data Archiving and Networked Services (DANS)
Duration: 1.5 hours
Do you want to join our effort to put the FAIR data principles into practice? Come and explore the assessment tool that DANS, Data Archiving and Networked Services in the Netherlands, is developing for data repositories.
The aim of our work is to implement the FAIR principles into a data assessment tool so that every dataset which is deposited or reused from any digital repository can be assessed in terms of a score on the principles Findable, Accessible, Interoperable, and Reusable, using a ‘FAIRness’ scale from 1 to 5 stars. In this interactive session participants can explore the pilot version of FAIRdat: the FAIR data assessment tool. The organisers would like to inform you about the project, and look forward to all feedback to improve the tool, or to improve the metrics that are used.

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Visual discovery with Open Knowledge Maps

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.

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Datathons in Evidence-Based Medicine: Applying Open Science Principles to Support Cross-Disciplinary Education and Research

Organisers: Tom Pollard - MIT, George E. Dafoulas - Medical School, University of Athens, Lefteris Thireos - Athens Medical Society, Haralampos Karanikas- Hellenic Society of e-Health Services and Education. 
Duration: 1.5 hours

In this interactive workshop we explore how open science enables “datathons”, events that bring together teams of researchers to work together on unanswered clinical questions. We begin by outlining the datathon model and describe our experiences in holding these events internationally. We then offer an opportunity to participate in an interactice exercise, working together to analyse highly detailed information collected from patients admitted to critical care units at a large tertiary care hospital. Participants will learn about open science in clinical research and gain an overview of MIMIC-III, a freely-available critical care dataset collected from over >50,000 hospital stays.

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