Workshop

A Look at the Open Access Library Publishing House FAU University Press: From Writing to Publishing Contact person Andrea Petzoldt, university-press@fau.de Course description How does a university press actually work? In addition to an insight into the processes at FAU University Press as an example of a library-operated, non-commercial diamond open access publishing house, participants will also receive practical tips for their manuscripts as part of a Word, InDesign and LaTeX Q&A session. In addition, there will be a brief introduction to what needs to be considered with regard to typical publishing processes, copyright, Creative Commons licences, the accessibility of digital documents and Open Access distribution channels (Google Scholar, BASE, …). Learning objectives Characteristics of a non-commercial Open Access University Press  Manuscript requirements Copyright Publication process Dissemination, Distribution Course duration and period Duration 1h each term Format Workshop Prerequisites None Course Link Deadline for registration Varies from term to term Who Should Attend PHD students, Researchers, Scientific Staff

Introduction to research data management Contact person Jürgen Rohrwild, Juergen.rohrwild@fau.de Course description Basics of data management : structure and organization, FAIR principles, metadata, transparency and reproducibility of research, data publication and open licences, legal aspects, funder requirements and DMP. Learning objectives Data handling Data publication Metadata and FAIR principles Course duration and period 3h each term Format Seminar Prerequisites None Course Link Deadline for registration Varies from term to term Who Should Attend Master students, PHD students, students starting their Bachelor thesis work

Data management workshop with discipline focus Contact person Jürgen Rohrwild, Juergen.rohrwild@fau.de Course description Students learn agile methods by developing open-source software based on industry requirements. Learning objectives Funder requirements Data handling and organization Tools and Best Practices in the discipline Data Publication and Open Data Metadata and FAIR Data Reproducibility of research Legal aspects (copyright, data protection, data mining) Course duration and period Duration: from 4 h to 16 h dependent in audiencePeriod: from ½ day workshop to three week long course Format Workshop (in person) Prerequisites Personal experience with research practices in the discipline. Course Link Deadline for registration Varies from term to term Who Should Attend Master students, PHD students, early career postdocs