Open Science and the Basis of Research Data Management 5100-00RDM-OG

The aim of the course is to familiarize students with the Open Science and Research Data Management (RDM) issues. Knowledge acquired during the course will be useful not only during university studies, but also in everyday professional life – the students will be able to prepare RDM Plan and to manage research data in their own research; also they will be able to apply the acquired competencies in a work environment, for example while preparing project proposals and applications. The course content will familiarize students both with theory and practise; it will present the benefits of Open Science and how a properly established RDM Plan reflects on research work.

During the course, the following issues will be discussed:
● Research lifecycle
● What are research data
● Preparing RDM Plan for student’s own dissertation
● Tools and skills necessary in RDM
● RDM advocacy
● Open Science, Open Access, FAIR principles and RDM

Type of course

general courses

Mode

Classroom

Prerequisites (description)

(in Polish) Podstawowa wiedza na temat otwartej nauki

Course coordinators

Zuzanna Wiorogórska

Learning outcomes

KNOWLEDGE:
1. Student gains a developed knowledge on RDM.
2. Student is able to reflect deeply on the impact of RDM on the process of planning, conducting, and communicating results of scholarly research, particularly in the Open Science context.
3. Student has the knowledge on RDM tools.
SKILLS:
1. Student identifies and analyzes different types of research data, which depends on the field of science.
2. Student is able to prepare a RDM Plan.
3. Student can prepare her/his own research data in a way to make them accessible for reuse and to submit them in repositories.
COMPETENCES:
1. Student is able to advocate for RDM, s/he knows what are the benefits of RDM.
2. Student is able to identify the most appropriate tools and repositories for research data submission, which depends on the field of science.

Assessment criteria

Preparation for classes (readings) and discussion during classes; individual work - preparation of RDM Plan for the student’s own dissertation.

Bibliography

● Bryant, R., Lavoie, B., Malpas, C. (2017). A Tour of the Research Data Management (RDM) Service Space. Part 1: The Realities of Research Data Management. Dublin, Ohio. Retrieved from http://www.oclc.org/content/dam/research/publications/2017/oclcresearch-research-data-management-service-space-tour-2017-a4.pdf
● Buddenbohm, S., Cretin, N., Dijk, E., Gaiffe, B., De Jong, M., Le Teiller-Becquart, N., Minel, J.-L. (2016). State of the art report on open access publishing of research data in the humanities. Retrieved from https://halshs.archives-ouvertes.fr/halshs-01357208/document
● Carlson, J., Fosmire, M., Miller, C. C., Sapp Nelson, M. (2011). Determining Data Information Literacy Needs: A Study of Students and Research Faculty. Library and the Academy, 11(2), 629–657.
● Childs, S., McLeod, J., Lomas, E., Cook, G. (2014). Opening research data: issues and opportunities. Records Management Journal, 24(2), 142–162. https://doi.org/10.1108/RMJ-01-2014-005
● Cox, A., Verbaan, E. (2018). Exploring Research Data Management. London: Facet Publishing.

Additional information

Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

Description of 5100-00RDM-OG in USOSweb