Abstract

Open science (OS) is currently dominated by a small subset of practices that occur late in the scientific process. Early career researchers (ECRs) will play a key role in transitioning the scientific community to more widespread use of OS from pre-registration to publication, but they also face unique challenges in adopting these practices. Here, we discuss these challenges across the OS life cycle. Our essay relies on the published literature, an informal survey of 32 ECRs from 14 countries, and discussions among members of the Global Working Group on Open Science (Global Young Academy and National Young Academies). We break the OS life cycle into four stages—study design and tracking (pre-registration, open processes), data collection (citizen science, open hardware, open software, open data), publication (open access publishing, open peer review, open data), and outreach (open educational resources, citizen science)—and map potential barriers at each stage. The most frequently discussed barriers across the OS life cycle were a lack of awareness and training, prohibitively high time commitments, and restrictions and/or a lack of incentives by supervisors. We found that OS practices are highly fragmented and that awareness is particularly low for OS practices that occur during the study design and tracking stage, possibly creating ‘path-dependencies’ that reduce the likelihood of OS practices at later stages. We note that, because ECRs face unique barriers to adopting OS, there is a need for specifically targeted policies such as mandatory training at the graduate level and promotion incentives.

Highlights

  • Open Science (OS) includes a diverse set of practices based on the principles of ‘transparent and accessible knowledge that is shared and developed through collaborative networks’ (VicenteSaez & Martinez-Fuentes 2018)

  • We developed a simple survey (Appendix 1) to assess knowledge and frequency of open science practices throughout the open science life cycle

  • In addition to collecting demographic information, the survey contained one section for each of the nine open science practices we identified through working group discussions

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Summary

Introduction

Open Science (OS) includes a diverse set of practices based on the principles of ‘transparent and accessible knowledge that is shared and developed through collaborative networks’ (VicenteSaez & Martinez-Fuentes 2018). OS can, and should, be practiced by design (NASEM 2018) throughout the life cycle of the scientific process, from the planning stage through to publication and outreach (Figure 1). There are many potential benefits of widespread adoption of OS, including scientific transparency, reproducibility, and efficiency Allen & Mehler 2019). The Covid-19 pandemic has highlighted and escalated the need for OS, which will be crucial to tracking and reaching the Sustainable Development Goals and other global targets. OS is not yet the norm and, to date, has been dominated by a small subset of practices such as open-access publishing

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