On March 1st 2022, the Latvian Government approved the Latvian Open Science Strategy 2021-2027. The strategy aims to provide society, researchers, businesses, policymakers, and other stakeholders with freely accessible scientific information (including scientific publications and research data) and promote meaningful societal engagement in the scientific research process.
The Open Science Strategy is structured around three pillars:
- Open access publications;
- FAIR research data;
- Citizen Science.
The first seminar will take place on Wednesday, 13 April.
In this seminar series we will focus on those aspects that have a direct impact on the work of researchers, specifically on strategies for generating an appropriate data management plan and how to implement FAIR principles in the planning, execution, and dissemination of research.
Contents of the first seminar
Module 1: Introduction to Research Data Management
At the end of this section, the participant can...
- Understand the importance and benefits of managing research data
- Know how the main actors within research data management (RDM) can affect research
- Identify different types of research data in various disciplines
- Realize what RDM entails when looking at the Research Data Lifecycle
- Recognize the existing Latvian legislation on research data management
About the lecturer
Dr. Sergio Uribe has dedicated the last 22 years to clinical and epidemiological research. He is DDS, MSc (Maxillofacial Radiology), and Ph.D. Currently is the principal investigator of the RSU-MikroTik project for the implementation of FAIR principles for RSU research. He is a Leading Researcher of the RSU Bioinformatics Laboratory, and at the Baltic Biomaterials Centre of Excellence (BBCE). Dr Uribe holds the positions of Associate Professor at the RSU Conservative Dept of Oral Health and at the Universidad Austral de Chile, Valdivia, Chile.
sergio[pnkts]uribe
rsu[pnkts]lv (sergio[dot]uribe[at]rsu[dot]lv)
- Upcoming seminars
Module 2: FAIR Principles
At the end of this section, the participant can...
- Identify key elements that help make research data Findable, Accessible, Interoperable and Re-usable
- Understand how these key elements are applied in different research disciplines and different research workflows
- Distinguish between FAIR data and open data
Module: Creation of Data Management Plans
At the end of this section, the participant can...
- Understand the added value of making data management plans in research projects
- Identify challenges in projects in relation to research data management
- Identify stakeholders that require a DMP and know how to begin making a DMP, including which topics to cover
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