What are the emerging models of Open Access for publications? Who should be involved? How are costs distributed over the stakeholders involved? How can OA platforms innovate further to embrace Open Science? This workshop will discuss and showcase the range of models available, including their costs and organisational aspects, to discuss their relative strengths and weaknesses in different academic contexts.
What are the emerging models of Open Access for publications? Who should be involved? How are costs distributed over the stakeholders involved? How can OA platforms innovate further to embrace Open Science? This workshop will discuss and showcase the range of models available, including their costs and organisational aspects, to discuss their relative strengths and weaknesses in different academic contexts.
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.
Impact metrics have a strong influence on the scientific community, affecting the assessment of institutions of higher education and research as well as decisions concerning who gets promoted or hired, who receives grants, and who publishes where. In this situation, it is essential that the methods used to calculate metrics should be transparent, and reproducible and that their integrity should be auditable, and beyond question. This workshop will discuss the limitations of current systems and platforms, presenting a use case from Usage Statistics platform, and the recommendations of creating an open platform for Impact Data.
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.
Impact metrics have a strong influence on the scientific community, affecting the assessment of institutions of higher education and research as well as decisions concerning who gets promoted or hired, who receives grants, and who publishes where. In this situation, it is essential that the methods used to calculate metrics should be transparent, and reproducible and that their integrity should be auditable, and beyond question. This workshop will discuss the limitations of current systems and platforms, presenting a use case from Usage Statistics platform, and the recommendations of creating an open platform for Impact Data.
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.
Changing research practices towards reproducible research, Prof. John Ioannidis, Stanford University