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Other literature type . 2026
License: CC BY
Data sources: ZENODO
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Presentation . 2026
License: CC BY
Data sources: Datacite
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Open Science Retreat 2026: Mapping the Open Science System

Authors: Gould van Praag, Cassandra;

Open Science Retreat 2026: Mapping the Open Science System

Abstract

Lightning talk at Open Science Retreat 2026 (https://events.digital-research.academy/event/111/ Systems thinking is an approach to understanding the non-linear relationships between multiple interacting components of "a thing". That thing can be a manufacturing system, an ecological system, or even something less tangible, such as the system being implemented to support the adoption of open science. By effectively mapping the system, we better understand how the different components and interconnections are supporting the goal, what blockers are not being well managed, and what leverage points can be targeted for optimisation. While many of us have an implicit understanding of the “adoption of open science” system, I believe that making this collective knowledge explicit will reduce the information asymmetries which weaken our collective efforts. Applying a formal system analysis to our work may, therefore, uncover new opportunities to coordinate and align our work, and expedite the success of this movement. Question 1: How well do we all understand the complete system which is working towards the goal of open science adoption? Question 2: How does a lack of complete understanding impact our efforts?

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average