Coffee Lectures

Open Access and Open Data are both crucial to the advancement of scholarship as they promote the free and unrestricted availability of research findings and datasets, fostering collaboration, transparency, and innovation among researchers worldwide. These principles enhance accessibility, reproducibility, and the overall impact of scholarly work.

The Coffee Lectures are a series of 15-minute presentations offering a concise overview of each subject. Following the talks, there will be an opportunity for questions and discussion. The event is hybrid: You can follow the talks online via Zoom or join us in person for a cup of coffee in the “Veranstaltungsraum” of the Philologicum.

Course language: English

Target audience

Advanced students, PhD candidates, researchers

Schedule

Every Tuesday at 1 pm (s.t.) - jeden Dienstag um 13 Uhr (s.t.)

Tuesday, October 24 2023: Why choose Open Access?

More and more research funders are demanding that research results be made freely accessible. This is already a good reason for choosing open access. Find out more about the wide range of benefits and advantages open access publishing offers in addition to meeting funders’ requirements.

Tuesday, October 31 2023: Unlocking Knowledge: Exploring financial support for Open Access

Discover the wide range of funding opportunities for open access publications and learn more about the support offered by the University Library of LMU Munich. In particular, the LMU Open Access Fund offers financial support to help make your scholarly output accessible worldwide and promote the free exchange of knowledge.

Tuesday, November 7 2023: Understanding Open Data: What makes your data open?

How open are scholarship and your own research output? Open Data is a term used to describe research data accessible to all. In this Coffee Lecture, we will discover the different aspects of Open Data and also explore the ways in which FAIR principles contribute to openness.

Tuesday, November 14 2023: Sustainable Referencing: Discover Persistent Identifiers such as DOI, ORCID and ROR

Good descriptions of your project and publications can improve their visibility and also help others to discover your research. This talk will introduce you to use persistent identifier (PID) systems such as DOI, ORCID and ROR.

Tuesday, November 21 2023: Two Approaches, One Idea: Open Science and Good Scientific Practice

Invent data? Copy results? Manipulate facts? No, this is clearly against the principles of good scientific practice, as we all know. In this Coffee Lecture we will discuss how Open Science helps to make good scientific practice even better.

Tuesday, November 28 2023: The Open Science Framework – A Platform For Your Projects (Malika Ihle)

OSF is a free and open source project management tool that supports you to centralize your data, code, materials, preregistrations, and preprints, connect your other tools (e.g. storage spaces, GitHub, reference managers), work with collaborators, and chose to publicly share part or all of your project!

Tuesday, December 5 2023: How to Find Your Way to Open Access at LMU

Are you convinced that open access publishing is a good thing, but are still unsure what options or opportunities are available to you at your institution? Find out more about the support offered by the University Library’s repositories and infrastructure.

Tuesday, December 12 2023: Opening the Gates: Empowering Research through Data Publication

Find out why data publication is crucial for advancing knowledge, fostering collaboration, and promoting transparency. Learn about the various methods for effectively sharing research data, including the utilization of data repositories. Explore how these repositories serve as invaluable resources for archiving, organizing, and making data accessible to researchers worldwide.

Tuesday, December 19 2023: Happily Ever After: Storing your Data for the Long Term

This talk focuses on methods for long-term preservation that will ensure that your digital work can be found, understood, accessed and used in the future. Understand the complex connection between long-term preservation and reproducible research, and learn how to best manage and protect your data for the long term.