Overview

Teaching: 10 min
Exercises: 5 min

Questions

What are reasons for Open Science

Objectives

To get acquainted with, and reflect upon, the principles of Open Science

By Open Science we mean the movement to make scientific research and its dissemination accessible to all levels of society. Principles of open science are:

Open methodology
Open source
Open data
Open access
Open peer review
Open educational resources

Of these, Open data and Open source are some of the main drivers for good Data Management practices.

Discussion

What do you think are reasons for Open Data? Discuss with your neighbours.

Some reasons

Democracy and transparency

Publicly funded research data should be accessible to all

Published results and conclusions should be possible to check by others

Research

Enables others to combine data, address new questions, and develop new analytical methods

Reduce duplication and waste

Innovation and utilisation outside research

Public authorities, companies, and private persons outside research can make use of the data

Academic merit

Citation of data will be a merit for the researcher that produced it

It can be argued that not being transparent about the data and methods that are used to reach the scientific conclusions that you publish, is not ethical. It can be considered to be a waste of resources, potentially harming the profession, public trust in research, and contributing to the current research credibility/reproducibility crisis.

Discussion

Do you think we have a credibility and/or reproducibility crisis?

If so, what are some of its causes?

Some causes

Credibility

Research fraud has been exposed

The scientific process is not understood

…

Reproducibility

Methods unclear

Software not available

Data not available

Researchers don’t get academic credit for being transparent

You can build a CV faster when being sloppy(?)

…

When surveyed, the research community to a large extent seem to agree to that there is a reproducibility crisis. Many studies have been done on Reproducibility of published research, and regardless of scientific domain, it seems that more or less half of the publications looked at are not possible to reproduce. A large part of those are because the underlying data is not available or not understandable. Often it is also not possible to understand how the analyses were done.

To illustrate some issues around research data, let us look at this short movie:

Data Sharing and Management Snafu in 3 Short Acts

References

Open Science on Wikipedia

Rochelle Trachtenberg, “Unexpected Ethical Challenges in Bioinformatics and Genomics”