Certificate Reproducible Research

Charité - Universitätsmedizin Berlin, Institute of Biometry and Clinical Epidemiology

BIH QUEST Center for Transforming Biomedical Research

BIH - Medical Informatics Group

You are here:

  • Reproducible Research.

Motivation

A large part of the scientific results published in peer-reviewed journals is not reproducible. This affects nearly all scientific disciplines, in particular medical research and global health.

Common problems
  • Raw data and analysis code are not available
  • Experimental setting is not precisely enough described
  • Statistical methods are not precisely enough reported
  • Unfavorable results are excluded from reporting or the projects are not published at all

Non-reproducible results can have serious consequences for the public, either in terms of non-optimal treatment of diseases or with respect to financial aspects for the health system. The Certicate Reproducible Research aims to qualify researchers in the health sciences to perform their research according to highest quality standards. The certificate covers important aspects of reproducible research such as:

  • Data storage
  • Machine learning
  • Programming and documentation
  • Reporting
  • Planning and conducting preclinical, clinical, and observational trials
  • Study registration and data bases

Application and Contact

Please submit your application to: reproducible-research(at)charite.de. An application form will be available on this site soon.
Deadline: June 30, 2020

Admission requirements

The certificate is addressed to active scientific researchers in health data sciences covering applicants with a degree in medicine, psychology, biology, biostatistics, and/or epidemiology.

Costs

Costs for participation in the certificate program amount to € 3000,- per semester (€ 6000,- in total) to be paid in advance per semester.

Courses and ECTS

The certificate courses amount to a total of 30 ECTS. There are seven different modules, each consisting of one or two courses. Each three-day course (Thursday to Saturday) amounts to 3 ECTS. To obtain the certificate, a project work must be completed which amounts to an additional 6 ECTS.

Accreditation with the Berliner Ärztekammer has been applied for.

Modules

Module 1: Introduction

Course 1.1

Background, rationale and
challenges of reproducible
research

October 15 - 17, 2020

Module 2: Programming
and Machine Learning

Course 2.1

Methods of
Machine Learning

November 5 - 7, 2020

 

Course 2.2

Reproducible Programming
and Data Storage

November 19 - 21, 2020

Module 3: Clinical Trials

Course 3.1

Methods of Clinical Trials

January 14 - 16, 2021

 

Course 3.2

Ethics proposals, study
protocols, study reports,
and study registers

January 28 - 30, 2021

Module 4: Preclinical Trials

Course 4.1

Planning and reducing
animal numbers, reporting,
small sample size methods

February 18 - 20, 2021

Module 5: Observational Studies
and Data Registries

Course 5.1

Data Registries, quality
control for obervational
data

March 11 - 13, 2021

Module 6: Open Data
and Data Sharing

Course 6.1

Data sharing platforms,
regulatory requirements,
and data protection

April 22 - 24, 2021

Module 7: Project Work

 

Compilation of project work

 
 

Course 7.1

Project Work
presentations

June 24 - 26, 2021

Organizers

Prof Dr. Geraldine Rauch
Dr. Jochen Kruppa

Institute of Biometry and Clinical Epidemiology
Charité - Universitaetsmedizin Berlin
Charitéplatz 1
10177 Berlin

The Institute of Biometry and Clinical Epidemiology offers biometrical and epidemiological consulting services and supports the planning, execution, and evaluation of medical research projects as a co-operation partner. The institute is also active in methodologic research and both internal and external teaching activities.

Prof. Dr. Ulrich Dirnagl
Dr. Ulf Tölch

BIH QUEST Center for Transforming Biomedical Research
Anna-Louisa-Karsch-Str. 2
10178 Berlin

The BIH QUEST Center for Transforming Biomedical Research strives to increase the value and impact of biomedical research by maximizing quality, reproducibility, generalizability, and validity of research.
QUEST seeks to create an awareness of the need to rethink biomedical research and initiate a cultural change in academic biomedicine.

Prof. Dr. Fabian Prasser
BIH
Medical Informatics Group
Charitéplatz 1
10117 Berlin

The BIH Medical Informatics Groupworks on innovative methods for the secure re-use and sharing of health data, which is an important aspect of reproducibility.