Research Data and Publishing
Online course from Nature Research Academy organised by SFB1032
18.11.2021 – 26.11.2021
In this interactive virtual training from Nature Research Academy, the participants raise awareness and competencies in the field of professional research data management. The expected benefits of these premium trainings include higher reproducibility of research, higher impact of research and higher citation rates. The intensive research data trainings will be delivered virtually by a highly experienced Nature Research specialist team.
Date & Time:
Module 1: Thursday, 18.11.2021 from 13:00 – 15:00
Module 2: Wednesday, 24.11.2021 from 13:00 – 15:00
Module 3: Friday, 26.11.2021 from 13:00 – 15:00
Place: This event will take place online via a registration link that that you will receive in the beginning of November.
Key features of the premium training:
- 3 online modules (1,5 hours each, plus additional 0,5 hours Q&A per module)
- Presented by an expert research data trainers
- Highly interactive and practical, with discussion, exercises and interaction with the trainers via polls / hands-up / live questions
- Participants supported by an experienced facilitator who helps to resolve technical issues, promotes interaction and moderates the live Q&A sessions
- Recording of the webinars available to watch again for 30 days after the events
- Digital workbook with resources to keep
- Post-workshop report containing researcher feedback. In 2019, 89% of researchers have rated their Nature Research Academies workshop as excellent or good and 97% feel more confident in their skills.
Content:
Module 1: Research Data and Your Journal
This module discusses research data from the perspective of journals, editors and peer reviewers. Participants will learn to identify the features and requirements of research data policies, and repositories are introduced as an option for data sharing.
Module 2: Research Data and Your Manuscript
This module introduces the practical measures that authors should take to ensure that they are sharing data appropriately with journal editors, peer reviewers and future readers. Guidance and best practice tips are given on how to write excellent data availability statements and data citations.
Module 3: Research Data and Your Published Paper
Participants will learn about the final steps which are needed to share their research data after manuscript acceptance. Methods for data dissemination and promotion after publication will be outlined, as well as the advantages for authors who choose to share their data openly.