Course catalogue for researchers and employees at Aarhus BSS
Get an overview of AU Library courses aimed at researchers and other employees at Aarhus BSS.
The courses contain knowledge and tools relevant for the research process.
The courses can be aimed at PhD students, a research team or a specific request within your department. Depending on your context, we can offer all courses separately or as interconnected modules tailored to your needs.
If you are interested in one or more courses, please do not hesitate to contact your liaison librarians.
If you have any questions or concerns, feel free to contact the liaison librarian associated with your field, who will be happy to assist you with your questions.
Alternatively, you are always welcome to contact your local library in AU Library.
Learning objectives/outcomes
The participants will learn how to build their profile and CV in Pure.
They will gain knowledge on how to display their research via AU's website and via the international researcher ID, ORCID, which functions independently from place of employment and commercial interests.
Additionally, they will learn about AU's policies about research registration and parallel publishing.
Content elements
- Producing a CV in Pure, describing your research area, and registering publications and sideline occupations (mandatory) as well as projects and other content types
- Creating an ORCID via Pure and setting up synchronization to ensure an updated researcher ID at all times
Duration
Can be scaled from a brief introduction to a 1-2-hour course with hands on tasks.
Learning objectives/outcomes
The participants are given an introduction to the strengths and weaknesses of different search methods and are given tools to ensure systematization, transparency, and reproducibility in searching the literature within their field.
Content elements
- Going from preliminary searches to developing a strategy for a systematic search, including the choice of databases
- Different search methods like keyword searches, chain searches, and citation searches
- Ensuring a good balance between breadth and relevance in search results
- Ensuring systematization, transparency, and reproducibility when examining the research field
- Using tools like EndNote, Covidence, Alerts, and NVivo that can help you with handling and documenting the research process
- Exploring AI tools for literature searches and evaluating their strengths and weaknesses
Duration
Can be scaled from a brief introduction to a 2-3-hour course with hands on tasks.
Learning objectives/outcomes
The participants are introduced to EndNote's functions and potential.
They will learn how to set up a library and to handle, organize, and use their sources and references.
Content elements
- Installing EndNote and getting started
- Importing existing PDF files from the computer to EndNote
- The best approach when sharing references with others while collaborating on assignments
- Finding different output styles and editing them
- Exporting data from EndNote to other software (NVivo or Covidence, for example)
- Removing EndNote codes in the finished manuscript
Duration
Can be scaled from a brief introduction to a 1-2-hour course with hands on tasks.
Learning objectives/outcomes
The participants are introduced to freely available AI tools that exist for literature searches.
They will gain insight into different types of AI searching tools and the data sources that form their basis.
Content elements
- The types of AI tools that can be used for literature searches and when to use them
- What to be especially aware of when using AI tools for literature searches
- Understanding which sources AI tools use and how transparent the tools are
- Identifying strengths and weaknesses in AI tools for literature searches
Duration
Can be scaled from a brief introduction to a 1-2-hour course with hands on tasks.
Learning objectives/outcomes
The participants will gain an understanding of how data management comes into play in research and what significance it has in their own research universe.
They will gain knowledge of how to manage, operate, and publish data, and of the FAIR principles (Findable, Accessible, Interoperable, Reusable).
The participants will learn about the importance of their own data management and obtain knowledge of the key elements of a thorough data management plan.
Content elements
Based on AU's requirements and policies in the area, the course provides knowledge about the following:
- What is understood by research data
- What good data management means
- How to open your data or metadata in agreement with the FAIR principles
- How to make a data management plan
- Data retention
- Data publication
- Data sharing
- The data policies of journals
- Researcher ID
Duration
Can be scaled from a brief introduction to a 1-2-hour course with hands on tasks.
Learning objectives/outcomes
How do digital methods contribute to the process of research and analysis?
The participants will learn how to work with different digital tools like Whisper/Transcriber for transciption, R or Python for text and data analysis, or NVivo for data encoding.
Content elements
The course is arranged based on one of the following tools:
- Transcription of sound files via UCloud using the tools Whisper and Transcriber
- NVivo for analyzing interviews and articles, for example
- VOSViewer for bibliometrical analyses. Especially in connection with literature reviews
- R or Python for text and data analysis in connection with text and data mining or visualization
Duration
Can be scaled according to tool and content but 1-4 hours per tool.
Learning objectives/outcomes
Open Science is about advancing transparency and openness in all phases of scientific research: from the collection of data to the final publication of the results.
The participants will learn about the key elements within Open Science. They will get inspiration and means to use specific Open Science tools that support a typical research process.
Content elements
- How to work with Open Science throughout the entire research process from preparation, data collection and analysis, and to publication and outreach
- How to make data accessible and open in agreement with the FAIR principles (Findable, Accessible, Interoperable, Reusable)
- AU Library's various offered services in relation to Open Science
Duration
Can be scaled from a brief introduction to a 1-2-hour course with hands on tasks.
Learning objectives/outcomes
The participants will be given a basis for reflecting over and working with their publishing strategy.
They will learn about publishing tools and methods, and about Open Access publishing.
Additionally, they will gain knowledge about increasing the visibility of their research output and metrics for measuring research impact.
Content elements
- Choosing a publication channel and tools for identifying and selecting journals
- Open Access publishing and policies, and publishing via national agreements
- Publishing through Pure, in subject-specific repositories, and on social media
- Open Journal Systems (OJS) and Open Monograph Press (OMP)
- Researcher profiles and researcher ID
- Measuring research impact such as citations, H-index, and Almetrics
- Data publication
Duration
Can be scaled from a brief introduction to a 2-3-hour course with hands on tasks.
Learning objectives/outcomes
The participants will learn about the rules and rights of copyright as researchers.
They will acquire general knowledge of copyright and what to be aware of in their research, including their rights in relation to publishers and publication.
They will become acquainted with the Copydan agreements and learn about the rules of sharing materials with students in the classroom.
Additionally, the course touches upon the new rules on text and data mining (TDM) that are currently in copyright.
Content elements
- Understanding own rights related to publishers and publication
- Specific cases within copyright
- Using licenses to transfer copyright: CC licenses, for example
- Open Access publishing
- Tools for determining Open Access policies within journals, including Directory of Open Access Journals (DOAJ) and open policy finder
- Obtaining the rights to use materials (Copyright Clearance Center)
- Knowing the Copydan agreements/license agreements when sharing materials for the classroom
- TDM: Opportunities as a researcher
Duration
Can be scaled from a brief introduction to a 1-2-hour course with hands on tasks.
