Training in research data management (RDM) and open science:
Are you writing your data management plan (DMP)? Do you handle personal data in your research? Are you planning to publish your research data to ensure reproducibility of your research outputs and improve the invisibility and impact of your research? Effective and responsible research data management (RDM) is an essential requirement of good scientific practices and research skills.
You can get hands-on support and training in RDM know-how, as well as in how to share your research, from the 69990-E Open Science Doctoral Course in Moodle and have answers to the questions:
How to write a DMP that describes your key measures for ethical and legal compliance and FAIR data production. How to handle personal data in research? How to create metadata of your research? How to choose a suitable and trusted data repository?
How to improve the invisibility and impact of your research? How to promote citizen science and have all relevant knowledge actors in science, industry, and society at large involved?
What does transparent and responsible research evaluation mean to you?
The course is aimed at doctoral students in all fields, and regardless of research fields or when your doctoral studies have begun.
- Research data management (RDM) basics (Slides)
An introductory lecture to the basic concepts and best practices of research data management. Topics such as data management policies, data management process, data management plans, ethical and legal compliance, data documentation and metadata, storing solutions, data sharing and publishing, will be addressed.
- Data management plan (DMP) workshop
A hands-on workshop on the practices of what to take into account when writing a data management plan (DMP). We will go through the general structure of a DMP and give tips on what to write into different sections. DMPTuuli, a tool for writing the plan, is also introduced.
- Managing and sharing your research
This course aims to trace and ease the journey of your whole research process. You will learn both how to manage your research and how to share your research by applying and integrating open science principles and practices into each of your research stage. What services and support that facilitate your research managing and sharing in each of your research stage is also enumerated. The topics that will be addressed include: measuring research and bibliometrics, publication strategies and open access options and solutions, research data management and open data, how to improve the visibility and impact of your research, open science principles and practices, and Hanken's research database Haris.
The course is aimed at doctoral students in all fields, particularly suitable for doctoral students at the initial phase of their doctoral studies.