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Introduction to Managing Research Data According to the Principles of Open Science

Target Users

The course is intended for researchers and doctoral students who wish to learn or refresh their knowledge. 

Course Content

  • Basics of open science,
  • Definition of research data and its types,
  • Phases of the research data life cycle,
  • FAIR principles (Findable, Accessible, Interoperable, and Reusable),
  • Preparation of a Data Management Plan (DMP),
  • Trusted repositories and persistent identifiers,
  • Preparing metadata,
  • Ensuring the openness of research data through repositories in accordance with the principle of »as open as possible, as closed as necessary«,
  • Licensing research data.     
 

How to Use the Course

To access the course, log in with your digital identity or username. Although it is recommended to follow the order of the modules, users can explore them in any order they choose; for example, they may begin with the sections on research data management plans and repositories. Additionally, each module includes exercises to check understanding.

ENTER THE COURSE

By clicking on individual cards below, you will be taken directly to the selected chapter in the course.

Highlights:

Research Data Management Plan

Repositories

ABOUT THE COURSE

Introduction, open science terminology, Slovenian handbooks, sources used, help.

EXPERT ADVICE ON RDM

In research organizations, UL network of experts, UM network of experts, Open Library.

OPEN SCIENCE

Definition of open science, openness of research results, citizen science, research assessment, Open Science Monitor.

DATA MANAGEMENT

Research data management, definition of research data, sensitive data, informed consent.

LEGAL BASIS OF RDM

Slovenian legislation, Provisions of funders, Regulations of Slovenian organizations, journal requirements, data ethics and integrity.

FAIR DATA

The FAIR Principles, benefits of FAIR, preparing data for FAIR.

OPEN DATA

Open research data, FAIR – openness relationship, exceptions to openness.

DATA LICENSING

The licensing of research data.

RESEARCH DATA LIFE CYCLE

Life cycle, life cycle stages by scientific disciplines, use of artificial intelligence.

PLANNING

Reasons for planning, data management plan (DMP), DMP templates (ARIS, Horizon Europe, UL doctoral studies), tools for preparing DMPs, peer review of DMPs.

SEARCHING FOR EXISTING DATA

Search concept, repositories, catalogs and databases.

COLLECTING AND CREATING

Concept of collecting and creating, folder structure with files, naming folders and files, file formats, file versioning.

DOCUMENTATION

Research documentation, data anonymization, and pseudonymization, metadata, README file.

PROCESSING

Data processing, research software.

PRESERVATION

Data storage, data preservation.

PROTECTION

Research security, data protection, openness with protection.

PUBLICATION OF DATA

Repositories, publication and types of access in a repository, publication in repositories (e.g.: the Social Science Data Archives, CLARIN.SI, or UL Repository), data journals.

EOSC

European Open Science Cloud, EOSC and artificial intelligence.

Please send any questions or suggestions, including those regarding the new online courses, to raziskovalni.podatki@uni-lj.si.

The courses are funded by the Action Plan for Open Science, activity A6.2.1/4.3: Online training for handling open (FAIR) research data for the needs of public RPOs, implemented by the University of Ljubljana and the University of Ljubljana, Faculty of Social Sciences, Social Science Data Archives.

This website is made available under the terms of the Creative Commons Attribution 4.0 (CC BY 4.0) license.

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