BIH-QUEST Reproducible Research with R

Dates and time: 21.05., 28.05., 19.06., 02.07.2024, 1 - 5pm
Format: in presence, Course language: English
Location: BIH QUEST Center, Spreepalais, Anna-Louisa-Karsch-Str. 2, 10178 Berlin, 5th floor, conference room "Atrium"
ECTS: 2,0, Certificates: yes

Registration: Please register here for the course.

Description

This course will guide participants towards a reproducible research workflow supported by R. It will provide participants with knowledge on how to prepare their data and analyses so that other researchers can understand (and eventually reproduce) how figures and statistical tests were created stepwise from the raw data.
We will use R (and RStudio) as interpreted programming language. The course will blend on-line lessons on DataCamp and custom-made exercises with four 4 h hands-on sessions.
This course is generously supported by DataCamp by providing free access to online learning material for R for our course.

Learning goals

• comprehend the importance of reproducible research
• learn data analysis in R through the tidy approach
• be able to create data visualisation via ggplot2
• understand the process towards a fully reproducible analysis notebook
• receive an introduction to linear models
• be able to do Preregistration and understand registered reports
• learn how to write a data management plan and receive information on open data repositories
• understand the usefulness of metadata
• receive an introduction to open access publishing models contrasted with traditional models

Lecturer

Ulf Tölch, Research group leader an project team leader "Education, Training & Quality in Research"

Prerequisites

Some experience with R is necessary. This can be acquired by completing the two DataCamp courses: Introduction to R and Intermediate R. DataCamp access will likely be available starting May 10th, 2024.

Further information: https://www.bihealth.org/en/translation/innovation-enabler/quest-center/events/course/reproducible-research-with-r-1

BIH QUEST Introduction to Systematic Review & Meta-Analysis of Animal Studies

Date: 27th - 29th May, 2024, 1 - 5pm CET
Course language: English, Format/Location: online via Teams
ECTS: 0.9 ECTS point is awarded for this course. A certificate will be provided upon successful completion of the workshop.

Registration: Please register here for the course.

Course description

Through a mix of lectures and hands-on practical activities and tutorials, you will learn the major steps required to undertake a systematic review and meta-analysis of preclinical animal studies.

Content

You will...

• Understand what a systematic review is and why to perform one.
• Understand the components of a good research question.
• Understand the components of a protocol.
• Understand the importance of preregistering your protocol and where to register.
• Learn how to develop an accurate systematic search strategy.
• Learn how to screen records for inclusion against preset criteria.
• Understand the steps required for data extraction including study design information and quantitative data.
• Learn how to assess studies for risk of bias and reporting.
• Learn how to conduct meta-analysis of effect size data using R.
• Understand how to report your completed systematic review.

Lecturers

Sarah McCann, PhD | BIH QUEST Center for Responsible Research, Berlin Institute of Health

Alexandra Bannach-Brown, PhD | BIH QUEST Center for Responsible Research, Berlin Institute of Health

Torsten Rackoll, PhD | BIH QUEST Center for Responsible Research, Berlin Institute of Health

Corinna Dressler, PhD | Head of Information Literacy Education/Systematic Reviews | Medical Library, Charité - Universitätsmedizin Berlin

Sofija Vojvodic, MSc | BIH QUEST Center for Responsible Research, Berlin Institute of Health

Further information: https://www.bihealth.org/en/translation/innovation-enabler/quest-center/events/course/introduction-to-systematic-review-meta-analysis-of-animal-studies

Online Journal Club Diversity and Responsible Research and Innovation (DRIVERS)

The Journal Club (JC) Diversity and Responsible Research and Innovation (RRI) - DRIVERS - offers a forum for exchange on topics of diversity, equality and inclusion in science and academia and is a continuation of the previous JC Diversity. In the context of a monthly meeting, relevant literature on RRI and diversity is critically discussed. The JC is intended to pay particular attention to the role of research assessment and its reforms. The aim is to provide participants with a sound knowledge of RRI and diversity by engaging with relevant evidence and concepts.

The Journal Club takes place online on the first Monday of every month at 11 am (CET). Participation is possible on a regular basis, but also occasionally. We recommend that participants read the paper in advance. You will get more out of the journal club, if you have read each paper.

Further information, dates and the login link can be found here: https://www.bihealth.org/de/translation/innovationstreiber/quest-center/events/kurs/journal-club-for-diversity-and-responsible-research-and-innovation-drivers