The RSpace electronic lab notebook, architected to both support open science and protect IP for commercialisation of research, is used by university labs and biotechs. Ralitsa Madsen, postdoc in the Cell Signalling Research Group at the UCL Cancer Institute and open science advocate, will explain how the group uses RSpace to ensure high reproducibility/consistency across experimental set-up, and how RSpace's connectivity (depicted at drive.google.com/file/d/109kUuqMP1B7JrQLl-VIvHnb8qR2NTrvF/view) enables continued of other tools and resources in conjunction with RSpace, including file sharing applications, collaborative editing tools, open science tools like protocols.io and Github, collaboration tools like Slack/ MS Teams, and export of data into repositories like Figshare and Dataverse for public discovery and querying. Rory Macneil, Research Space CEO, will explain how biotechs and university labs planning to commercialise their research also use RSpace's connectivity while ensuring compliance with 21 CFR 11 and protect IP through RSpace's controlled login and sharing system, versioning and audit trail, and digital signing and witnessing. Finally, Rory will describe use of RSpace in multi-organisational collaborations involving universities and commercial organisations, how RSpace integrations with SURFdrive and SWITCHdrive facilitate inter-university collaborations in Holland and Switzerland, and potential for delivering further research collaboration benefits via the European Open Science Cloud.
Otto is a robot that brings people from all ages closer to technology, through hands-on making they learn the logical connection between mechanical components, design, electronics and code. Otto is truly open source in both hardware and software, this encourages anyone in the world to invent their own different versions with even more functions and features. We empower people to get accessible education with the use open source hardware and software to successfully design, build and code their own robot
This presentation discusses the growing case for data reuse by machines and the possibility of granting machines data reuse rights. Following his work as a member of the organising committee of the Sorbonne Declaration for Research Data Rights, the author is looking to stimulate the international community to define what rights machines have to use the research data. There are growing concerns that non-human persuators are harder to be distinguished from humans (1) while they became masters of persuasion (2). Non-human persuators are common contributors to modern business strategies. There’s no better time to defining what rights they should have.
(1) https://www.nature.com/articles/s42256-019-0113-5
(2) https://www.ibm.com/blogs/research/2018/06/ai-debate/
DISCLOSURE: The author is a member of the organising committee of this event