Schedule

*Note: The assignments are designed to take no more than 30 minutes. The room is available from early morning to early evening, so participants can choose to do the assignments at home or on campus.

Topics covered:

Scholarly Writing

It is famously difficult for scholars to establish and maintain an efficient writing process, i.e., a process that reliably produces prose about their research. This module will present an approach that many writers have found useful in getting a handle on this problem. It puts the composition of individual paragraphs at the center of the process, and proposes a way of organizing these into papers, chapters, and whole dissertations. It will show participants how to make meaningful progress on their writing projects, while working between half an hour and three hours per day. We will also discuss issues of style and argumentation.

Faculty: Thomas Basbøll

Literature searching and reviewing

Whether you aim at a full systematic review or a narrative review introducing central aspects of previous research, you will need the appropriate tools and techniques for doing systematic literature searches in bibliographic databases. The purpose of this module is to provide you with insight in; various review types, in the search strategies that accommodate the chosen review type, techniques for logging and describing your searches and finally in tools for reference management and screening and extracting information from papers. Practical exercises will be based on your own research question.

Faculty: Mette Bechmann & Liv Bjerge Laursen

Research Data Management

Data management is a fundamental part of all empirical research. Developing good habits and practices will not only make your life easier, but ensure the integrity of the data you use to support your conclusions. This module builds on the compulsory course “Introduction to RDM for PhD students” and assumes a basic understanding of RDM, the FAIR principles, and data management planning. You will write a Data Management Plan, learn the ABC of data documentation, and create a FAIR data set.

Faculty: Mareike Buus

High Performance Computing

Supercomputers let you analyze large amounts of data and execute complex computations much faster than you would otherwise be able to. While they were once difficult to use, and only accessible to a select few, nowadays all CBS researchers can have the power of high-performance computing at their fingertips. CBS provides this service through UCloud, a graphical user interface (GUI) that enables you to use a supercomputer in a desktop environment through your browser. In this session, we will talk about why you might need supercomputing in your research, and how to use it effectively when you do.

Faculty: Milos Kovacevic

Qualitative Data Analysis with NVivo

Qualitative research can be a time-consuming exercise that requires strict methodological discipline and transparency to ensure scientific rigor and reliability. There are no real shortcuts, but with NVivo, you can harness the process and achieve the consistency and robustness needed in your analysis. The software can help you organize and make sense of most types of unstructured and semi-structured data. This is a hands-on session on core NVivo features, the aim of which is to help you engage with the software in a purposeful and meaningful way.

Faculty: Joshua Kragh Bruhn

The Publishing Process

From the time of submission of your manuscript to a journal, to the final publication as an article, your manuscript passes through different stages, including plagiarism check, peer review, and copy editing. In this module, to make sure you are equipped to manage the publishing process, we will take a tour of the process, step by step, and explain the meaning of relevant terminology such as 'article processing charge', 'corresponding author', and 'copyright transfer agreement'.

Faculty: Claus Rosenkrantz Hansen 

Journal Selection and Impact

How do you find the right journal for your research? In this module we will introduce you to the citation databases Scopus and Web of Science and show you how you can use them to find candidate journals for your manuscripts. You will be introduced to the quality parameters of scientific journals – and to important attention points when looking at journal impact factors. We will also introduce you to journal lists that are relevant in a CBS context. The session will include hands-on exercises.

Faculty: Dicte Madsen & Claus Rosenkrantz Hansen

Course coordinators

Liv Bjerge Laursen lbl.lib@cbs.dk / 3815 3734

Thomas Basbøll tb.lib@cbs.dk / 3815 2017