Data Management for Early Career Scientists – How to Tame the Elephant
- 1University of Reading, School of Archaeology, Geography & Environmental Sciences, Reading, United Kingdom of Great Britain and Northern Ireland (l.comasbru@reading.ac.uk)
- 2Buesgen Institute – Soil Science of Tropical and Subtropical Ecosystems, Georg-August University of Goettingen, Germany
Data Management can be overwhelming, especially for Early Career Scientists. In order to give them a kick-start, the World Data System (WDS) organised a 3-day EGU-sponsored workshop on current achievements and future challenges in November 2019 in Paris. The purpose of the workshop was to provide Early Career Scientists with practical skills in data curation and management through a combination of practical sessions, group discussions and lectures. Participants were introduced to what are research data andcommon vocabulary to be used during the workshop. Later, a World Café session provided an opportunity to discuss individual challenges on data management and expectations of the workshop in small groups of peers. Lectures and discussions evolved around Open Science, Data Management Plans (DMP), data exchange, copyright and plagiarism, the use of Big Data, ontologies and cloud platforms in Science. Finally, the roles and responsibilities of the WDS as well as its WDS Early Career Researcher Network were discussed. Wrapping-up the workshop, attendees were walked through what is a data repository and how do they obtain their certifications.This PICO presentation given by two attendees of the workshop will showcase the main topics of discussion on data management and curation, provide key examples with special emphasis on the importance of creating a DMP at an early stage of your research project and share practical tools and advise on how to make data management more accessible.
How to cite: Comas-Bru, L. and Schmidt, M.: Data Management for Early Career Scientists – How to Tame the Elephant , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7115, https://doi.org/10.5194/egusphere-egu2020-7115, 2020