PhD seminars on writing, searching and data management
This course for PhD candidates at the Faculty of Mathematics and Natural Sciences provides candidates with the tools to efficiently manage their research projects and publish the results.
Teaching semester: Autumn 2022
Completed course including participation and activities can be credited with 1 ECTS credit (25-30 working hours) in the dissemination part of the training component. Please contact the department coordinator for questions regarding the inclusion in your training component and to register the credit. Contact information for the Ph.D. coordinators: https://www.uib.no/en/matnat/142878/phd-coordinators-departments
The course has a limited capacity of 40 students and is open to all Ph.D. candidates at the Faculty of Mathematics and Natural Sciences. Confirmation of whether you have been offered a place on the course will be sent out after the registration deadline.
The course consists of 4 topic parts spread over 4 individual days and connected out of class work. The course will take place physically at the natural science faculty.
October 6th 09:00-14:00 Academic honesty in searching, reading and citing. Publishing strategy and visibility
October 31st 09:00-14:00 Open Science and Research Data Management
November 10th 09:00-14:00 Scientific Paper Writing
November 24th 09:00-14:00 Scientific Paper Writing and Publishing
The registration deadline is September 15th.
Learning outcomes, objectives, and work requirements:
This PhD course provides candidates with the tools to efficiently manage their research projects and publish the results. The course covers the evaluation of existing literature, refinement of data management and publishing strategy for their research projects, and practical scientific writing training. Please see the drop-down menu below for details on the different parts.
Course part 1 (session 1): Academic honesty in searching, reading and citing
Objectives and Content: Presentation of search techniques and various forms of scientific literature.
Work requirements: Perform a (systematic) search for relevant research literature and explain the choices made.
Learning Outcomes course part 1:
- Be aware of how academic honesty depends on a well-thought-out strategy for collecting and using literature in research and dissemination.
- Be able to thoroughly analyze information need and use advanced functions in databases and other discovery tools. To be able to effectively build a reliable and verifiable knowledge base as a basis for own research and dissemination, as well as to know which method of information retrieval is needed for a specific task (e.g systematic review)
- To be able to translate literature needs to search in relevant databases, based on the databases' delimitations and strengths.
- To be able to produce correct, consistent bibliographies at any time adapted to the relevant publication channel.
Course part 2 (session 1) Publishing Strategy
Objectives and Content: Introduction to publishing strategies. Candidates will reflect on their publishing strategy, and improve their researcher visibility.
- Create an ORCID, edit UiB profile
Learning Outcomes course part 2:
- Be familiar with different academic profiles.
- Have knowledge of what you can do to make publications findable, accessible and visible.
- Be able to reflect on your own publishing strategy.
- Get acquainted with various indicators used for research evaluation.
Course part 3 (session 2): Open Science and Research Data Management
Objectives and Content: Introduction to the philosophy of Open Science. Candidates will learn about open access to publications and develop a data management plan for their own research project.
- Create a data management plan (DMP) and provide peer review to another DMP
Learning Outcomes course part 3:
- Be able to explain the concept of Open Science, have knowledge of UiB's policy for open science
- Be able to explain different routes of open access publishing
- Be familiar with the “life cycle” of research data and data management requirements, from project planning and data collection to sharing the research outputs.
- Know the FAIR principles.
- Know the basic principles of intellectual property right (IPR) protection and licensing of research outputs.
- Know how (and where) you can make your own research data available.
- Be able to write a data management plan.
Course part 4 (sessions 3 & 4): Scientific Paper Writing and Publishing
Objectives and Content: This workshop has two main goals. Firstly, to provide the participants with a set of “tools” helping them to present their scientific results in a clear and interesting way and secondly to make them aware of various strategic issues connected to paper writing (which journal to publish in, cover letter to the editor etc.). A particular emphasis will be put on the writing of the paper abstracts.
Work requirements: – 6 hours: Before the workshop, you are expected to have written an abstract (max 300 words) on your own or an invented research result (2 hours). This abstract must be uploaded on mitt UiB. After the workshop, you have one week time to upload a second, improved version of your abstract on the basis of what you have learned in the first module (2 hours). You will then be assigned the task of peer-reviewing two abstracts written by other workshop participants and uploading your reviews on mitt UiB (2 hours). This must be completed before the second module.
Learning Outcomes course part 4:
- Knowing how to write a clear abstract for a scientific paper.
- Knowing how to write a formally correct scientific paper, including correct use of the past and present a tense and direct and indirect speech.
- Knowing how to write a cover letter to the editor and write a response addressing referee comments.
- Understand the various steps in the submission process from the initial idea to the final publications.
- A strategy for how to organize the writing process in an efficient manner, including how to handle the involvement of co-authors.