Are you writing your data management plan (DMP)? Do you collect and process personal data in your research? Are you planning to publish your research data to ensure the reproducibility of your research outputs and improve the visibility and impact of your research? Effective and responsible research data management (RDM) is an essential requirement of good scientific practices and research skills.
Open science has meanwhile been increasingly promoted and required by national and international organizations and research funders. It becomes important and even necessary for you to be part of the open science movement. Hanken has signed the Declaration for Open Science and Research (Finland) 2020-2025 and is committed to following the strategic principles, objectives, and action plans outlined in the four Policies of Open Science and Research in Finland. Hanken’s Guidelines on open science and research was updated in 2021.
You can get hands-on support and training in RDM know-how, as well as in how to share your research and practice open science, from the online 69990 Research Data Management (RDM) and Open Science Doctoral Course in Moodle (Period II, 30.10 - 15.12.2023) and have the answers to the questions on:
The course is aimed at doctoral students in all fields, and regardless of research fields or when your doctoral studies have begun. You can register for the course in Sisu and earn 1 credit after the completion of the course. Contact email@example.com.
An introductory lecture to the concepts, policies, and best practices of research data management (RDM). Topics such as data management policies, data management process, data management plan, ethical and legal compliance, storing solutions, data transfers, data documentation and metadata, and data publishing, will be addressed. Contact firstname.lastname@example.org.
Personal data should be processed lawfully, fairly, and in a transparent manner to protect the fundamental rights and freedoms of the data subjects. The lecture outlines the procedures of how to handle personal data in research step by step that you follow to collect and process personal data in your research to maintain high ethical standards and comply with relevant data protection legislations. Contact email@example.com.
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. Contact firstname.lastname@example.org.
This course aims to trace and ease the journey of your 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:
The course is aimed at doctoral students in all fields, particularly suitable for doctoral students at the initial phase of their doctoral studies. Contact email@example.com.