Page 28 - ICDL 2019 - Background Paper
P. 28
Research Data Management

In the past, much publicly funded research has been carried out in a vacuum; research data is created but rarely shared
and often lost post project. This approach is not only costly but also stunts collaboration and progress. However, while
research data may generally be quantitative data, such as numerical facts and statistics, it may also take the form of
qualitative data such as:

 interview transcripts, or
 digital content, including images and videos, and it tends to be discipline-specific.






























The uniting factor is that research data is not published research output. It is the raw material that leads to research
insights, and, as such, it ultimately contributes to our aggregated hub of knowledge. It is not only an incredibly
important resource but also essential for academic progress.

All research builds on former work and depends on the possibilities for scientists to access and share scientific
information. Wider access to scientific publications and data can help to:




Accelerate Foster collaboration Build on previous Involve citizens and
innovation (faster and avoid research results society (greater
to market = faster duplication of (improved quality transparency of
growth) efforts (greater of results) the scientific
efficiency) process)







22
   23   24   25   26   27   28   29   30   31   32   33