Abstract
SummaryIn recent years, there has been a drive toward more open, cross-disciplinary science taking center stage. This has presented a number of challenges, including providing research platforms for collaborating scientists to explore big data, develop methods, and disseminate their results to stakeholders and decision makers. We present our vision of a “data science lab” as a collaborative space where scientists (from different disciplines), stakeholders, and policy makers can create data-driven solutions to environmental science's grand challenges. We set out a clear and defined research roadmap to serve as a focal point for an international research community progressing toward a more data-driven and transparent approach to environmental data science, centered on data science labs. This includes ongoing case studies of good practice, with the infrastructural and methodological developments required to enable data science labs to support significant increase in our cross- and trans-disciplinary science capabilities.
Highlights
With the widespread use of digital technologies in modern research and the rise of data-driven research, the nature of scientific discourse is changing to include the complete digital record of how scientific discoveries were derived
Support and promotion of open science has been a key feature of recent developments and we describe a number of approaches and their supporting infrastructure
We propose that the engineering of collaboration and openness in data science labs is crucial to foster the new mode of scientific practice required to break down these barriers
Summary
With the widespread use of digital technologies in modern research and the rise of data-driven research, the nature of scientific discourse is changing to include the complete digital record of how scientific discoveries were derived This has been mainly driven by demands to allow more open scrutiny of the scientific evidence underpinning policy decisions in response to perceived loss of public trust in scientific consensus.[1,2] National science funding agencies are increasingly requiring openness and transparency in research they fund[3] and scientific journals are increasingly requiring publication of digital materials alongside any manuscript.[4] This move to ‘‘open science’’ has been championed by leading scientific agencies as the stage of scientific discourse in a digital age, to increase the transparency and access to the scientific evidence on which important societal decisions are based (both in the public and private sectors). This is seen as an important principle for scientific endeavor to enable modern (often digital) social discourse as laid out in the open access policies of several national funding bodies (e.g., The Royal Society,[5] the European Commission European, through the Open Science Cloud,[6] the National Science Foundation,[7] and the Chinese Academy of Sciences[8]).
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
