Topic: Open science

Open Science is the process or processes by which a scholar ensures that their research outputs, which might include data, publications and training activities, are available and open to all without restriction

Intellectual Property Rights in Ethically Open Science

In this lecture, Teresa Scassa examines the complex role of intellectual property(IP) rights in the creation and advancement of academic knowledge. While IP rights can create barriers to access, reuse and transparency, she argues, they can also further creativity and innovation by providing revenue, and by protecting other values such as privacy/confidentiality, and integrity/authenticity. IP rights can also, in some circumstances, protect against the exploitation of individuals and communities. Framing IP rights in terms of a sometimes complex web of relationships, this presentation asks what role IP rights should play in ethically open science.

Open Science is Just Good Science

In this lecture, Jon Tennant argues that 'Open Science' is 'good science', because it promotes transparency, reproducibility, and public good. However, he argues, researchers are not rewarded for doing good science. Tennant asks: 'how can we all work together to kick-start a new culture of open scientific practices, without putting our best and brightest at risk? How do we want people in the future to see this pivotal time in the history of science?' He challenges the audience to answer the question: 'which side do you want to be on?'

DARIAH Winter School 2016: 'Open Data Citation'

The DARIAH Winter School 'Open Data Citation for Social Sciences and Humanities' brought together researchers, professionals with various backgrounds, and students from 15 countries. In total 38 people met in Prague, Czech Republic, to learn about various aspects of open access and open data, as well as many other subjects on digital research.

Manage, Improve and Open Up Your Research Data

This module looks at emerging trends and best practice in data management, quality assessment and IPR issues. It looks at policies regarding data management and their implementation, particularly in the framework of a Research Infrastructure.