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Published on Nov 21, 2019
24 ottobre 2019
Demystifying Open Science and Research Data Management: A practical workshop for researchers | Shalini Kurapati
Abstract: Have you ever wondered why is everyone discussing about Open Science and Research Data Management (RDM) these days? Good Research Data Management (RDM) is crucial for reproducible and robust scientific research. Consequently, more and more funding bodies, governments, research institutions and other agencies have emphasised the value and importance of good data management and introduced policies on data management and sharing. However, it is easier said than done. Like most researchers you might have more questions than answers about the topic. You are not alone! Come join us on the 24th at an interactive workshop where you can understand the why and how of open science and research data management in practical terms. The main aspects covered in the workshop are:
Why RDM and open science - a brief introduction RDM essentials and practical tools for : Storage, backup, file structure & naming, data sharing and repositories Winning with open science: Direct benefits for researchers and tips on implementing RDM best practices in day-to-day research activities Introduction to Data Management Plans and DMPOnline Information session on open access, H2020 and support available for PoliTo research community Workshop presenter: Dr. ir. Shalini Kurapati
Shalini Kurapati (Profile) Dr. ir. Shalini Kurapati is an Open Science fellow at the Politecnico di Torino. Shalini's role is to promote a university wide research program for the development of a roadmap to support research data management and open science within the context of a university of technology. She works closely with Prof. Federica Cappelluti, the rector's advisor for open science. Previously, she had worked as a data steward at the Delft University of Technology (TU Delft). She holds a PhD as well as 7 years of research experience from the faculty of Technology, Policy and Management at TU Delft, Netherlands. Her topics of interest and expertise are not limited to Research Data Management, research integrity, FAIR principles for data and software, data protection, privacy and ethics. She is a Certified Information Privacy Professional (CIPP/E). Shalini also co-founded clearbox.ai, a tech start-up that provides tools for human-centric and trustworthy Artificial Intelligence.