| CODE | DOC6061 | ||||||
| TITLE | Allies of Open Science: The Influential Role of Statistics and Library Repositories | ||||||
| UM LEVEL | D - Doctoral Workshops/Symposium | ||||||
| MQF LEVEL | Not Applicable | ||||||
| ECTS CREDITS | Not Applicable | ||||||
| DEPARTMENT | Doctoral School | ||||||
| DESCRIPTION | Open science is the key to unlocking new horizons of discovery and meaningful research. In today's academic landscape, embracing open science practices has become essential, with statistical tools, raw research data and library repositories playing a crucial role in this transformation. In this advanced workshop, we delve deeper into the Open Science ecosystem, focusing on its practical applications in the multidisciplinary field of statistical data and in the use of research data repositories. Participants will explore the benefits of open science, learn about open research data and open-source software, and discover strategies for incorporating open science practices into their research workflow. Participants will also gain practical skills for utilising these library data repositories effectively. Attendees will investigate the procedures involved in managing, retrieving, and storing research data within the data repository of the UM Library. They will examine the handling of research data (including statistics) in relation to UM's research data repository. This exploration of Library repositories will enable participants to improve their research efficiency, accuracy, and accessibility, ultimately resulting in better outcomes. The workshop will consist of interactive sessions, practical exercises, and group discussions to facilitate active learning and knowledge sharing. The workshop is delivered by an interdisciplinary group of academics and library staff, who have been actively engaged and building their expertise as Open Science ambassadors for the University of Malta. Attendance to the introductory module ‘Introduction to Open Science: Embracing principles of transparency and collaboration in doctoral research’ is recommended prior to taking this advanced module. OUTCOMES By the end of this workshop, doctoral researchers should be more aware of: - better understand the concept and significance of open science in the wide context of data (including statistics); - familiarize themselves with open data and open-source statistical software; - learn about the concept of library repositories and their role in open science; - explore different types of research outputs that can be deposited in library repositories and learn how to effectively search and access research materials in library repositories; - understand strategies adopted by the UM library for data repositories and open access platform for data and publication sharing; - discuss the importance of metadata and data management plans in the context of library repositories. |
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| RULES/CONDITIONS | Before TAKING THIS UNIT YOU MUST TAKE DOC6060 | ||||||
| ADDITIONAL NOTES | Timetable Details - Please click here for further details. | ||||||
| STUDY-UNIT TYPE | Workshop | ||||||
| METHOD OF ASSESSMENT |
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| LECTURER/S | Raelene Church Fiona Sammut |
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2025/6. It may be subject to change in subsequent years. |
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