In the following section research impact will be addressed, a topic that everything else but uncontroversial, as the following cartoon may illustrate.

We have still got to ask for licence. Tom Gauld 2016: A recent cartoon for @newscientist

We still have to ask for permission to use this picture – it’s only a suggestion.
Tom Gauld 2016: A recent cartoon for @newscientist <>

This section would not have been possible, without the vital contribution of our partner RIs as well the specialists within and external to PARTHENOS who focus on impact.

By the end of this section, you should…

  • Be aware of how impact can be defined and how it can be measured for an individual researcher
  • Be able to understand how Research Infrastructures (RIs) can contribute to an individual researcher’s impact
  • Know what you can do to contribute to the impact of a Research Infrastructure

Research impact can be defined as a recorded or otherwise demonstrable influence academic research has on other researchers or research organisations (academic impact) or on actors outside academia (external impact).

Thinking about the outcomes of academic research that could have an influence on academia itself and beyond, publications like journal articles or monographs are only one side of the coin.

Virtually every kind of research goes hand-in-hand with the creation of new data. In the humanities, one can think of 3D scans of archaeological objects, digitized and meta-dated paintings or OCRed World War II journals. Especially in the humanities also often data are reused by adding new layers of interpretation.

In the past, a central location where these data could be stored, retrieved, and reused was far from evident. This meant that research data were often used only in the research context for which they were generated, greatly restricting the impact (influence) the collected data could have. To unlock the full potential of research data and facilitate reuse, funding bodies do not only request, but demand research data to fulfill a role beyond the research for which they were conceived. Making data findable, accessible, interoperable, and reusable, results in the data becoming more impactful, as they can now be used by future researchers to answer new research questions.

To learn more about Research Infrastructures and data browse the following resources.

Arjan van Hessen gives an example of how RIs can raise the impact of data.


Arjan van Hessen is working in the field of speech recognition. You want to know more about his data and how they could get more impactful? Watch the video!

Placeholder video 1

  • PARTHENOS Training submodule “How can research infrastructure help researchers to adapt to shifting cultures of data”
  • Guidelines for Common Policies Implementation

AND: It would be great to have a photo or picture for the start page.