2.1 Recognizing open science in research assessments: Issues, challenges, and opportunities

Comments

• • Johan van de Worp
  • 1682335429

  Here you can read a summary from this workshop (with thanks to the reporter for making it):

  There are loads of initiatives engaged in transforming the traditional scientific system. Multiple statements, agreements, concordats, best practice principles and so on – these really seem to be growing exponentially. This development leads to a growing awareness among initiators that open science systems must be accompanied by a different approach to assessment. ‘How to’ has many perspectives. From ‘What is meant by openness and which practices to reward?’ to ‘Skills, infrastructure, administrative routines need building’. The workshop focussed on data sharing practices as a dimension of the open science umbrella.

  Two vignettes with dilemmas about interests around open science provided material for a conversation which showed that:

  • a holistic view is essential during the implementation process, so that even people with reservations experience space for their voices.
  • not openness but sets of data should be assessed.
  • transparent data management can be a prerequisite for a research project.
  • definitions of quality and fairness must be open and clear.
  • ask academics within the PhD track to reflect on their approach to data: both qualitative and quantitative.
  • the context of the data must be clear: understanding the researcher's stories and intentions leads to an appropriate perspective on quality.
  • each discipline has its own specifications regarding openness, we need to give each other the space and trust to develop those specifications.