Your scientific work and your results must be shared with a wider audience. It must be clear that you and your institution are behind it! Advanced training on "Strategies and Techniques in Scientific Careers" comprises four modules on the most important core questions on the topic of managing your publications and research data. This advanced training deals with information transfer and individual workshop and counselling offers of the Saxon State and University Library Dresden (SLUB). First, use a questionnaire to determine your current level of knowledge and select the modules that are right for you.

Module 1 “Publication Management” deals with methods and criteria for the analysis of publication performance:

• You will receive an overview of suitable data sources for the analysis of the publication volume in your field.
• You get to know applications and limits of key figures.
• You will examine the visibility and perception of your publications and receive tips on how to improve them.

Module 2 "Open Access Publishing" shows different ways of OA publishing and the corresponding support offers of the SLUB for TU Dresden members:

• You will get an overview of the ways and importance of OA publishing.
• You will get to know the OA service offers (financing of publications, document server Qucosa, secondary publication law, etc.).
• You will learn how to find suitable OA journals for your planned publication.

Module 3 "Academic Identity Management" shows you how you can assign your publications to your person and institution effectively and unambiguously, and thus improve the visibility of your research:

• You will receive an overview of author identifiers.
• You will find solutions for the appropriate naming of your institutional affiliation, especially if you belong to more than one institution.
• You will learn how to set up your own author profiles.
• You will receive tips on data maintenance and linking IDs.

Module 4 "Research Data Management" presents comprehensive services for managing your research data:

• You will be provided with an overview of principles, services and tools supporting data management.
• You will become acquainted with generic and subject-related research data archives.
• You will be given tips on planning, organisation, archiving and publication of the research data in your own research project.