“Open science is a broad goal that includes making data, data analysis, scientific processes and published results easier to access, understand and reproduce. It’s an appealing concept but, in practice, open science is difficult and, often, the costs seem to exceed the benefits. Recognizing both the shortfalls and the promise of open science, Stanford University’s Center for Open and REproducible Science (CORES) – which is part of Stanford Data Science – hopes to make the practice of open science easier, more accessible and more rewarding.
Since its launch in September 2020, CORES has been hard at work on the center’s first major efforts. These include developing a guide for open science practices at Stanford – called the “Open by Design” handbook – and producing workshops and a lecture series to help people learn about and contribute to open science across the university….”
“Overview: The webinar features Dr. Joshua Rosenberg from the University of Tennessee, Knoxville and Dr. Cynthia D’Angelo from the University of Illinois at Urbana-Champaign discussing best practices examples for using R. They will present: a) general strategies for using R to analyze educational data and b) accessing and using data on the Open Science Framework (OSF) with R via the osfr package. This session is for those both new to R and those with R experience looking to learn more about strategies and workflows that can help to make it possible to analyze data in a more transparent, reliable, and trustworthy way.”
Abstract: Since Research Ideas and Outcomes was launched in late 2015, it has stimulated experimentation around the publication of and engagement with research processes, especially those with a strong open science component. Here, we zoom in on the first 300 RIO articles that have been published and elucidate how they relate to the different stages and variants of the research cycle, how they help address societal challenges and what forms of engagement have evolved around these resources, most of which have a nature and scope that would prevent them from entering the scholarly record via more traditional journals. Building on these observations, we describe some changes we recently introduced in the policies and peer review process at RIO to further facilitate engagement with the research process, including the establishment of an article collections feature that allows us to bring together research ideas and outcomes from within one research cycle or across multiple ones, irrespective of where they have been published.
“GigaByte (ISSN:2709-4715) aims to promote the most rapid exchange of scientific information in a formal peer-reviewed publishing platform. Modern research is data-driven, iterative, and aims to be FAIR: Findable, Accessible, Interoperable and Reusable. It is also fast moving, with available data and computational tools changing constantly and swiftly evolving fields continuously being tested, updated and modified by the community. Given that, GigaByte is focused on publishing short, focused, data-driven articles using a publishing platform that will allow nearly immediate online publication on acceptance as well as an ability to update published articles. This drastically reduces writing and reviewing. With that, GigaByte provides scientists a venue to rapidly and easily share and build upon each other’s research outputs.
Currently we publish two types of articles: Data Release highlight and contextualizing exceptional and openly available datasets, while Technical Release articles are present an open-source software tool or an experimental or computational method for the analysis or handling of research data.
GigaByte is an open access and open science journal. As with our sister-journal GigaScience— we publish ALL reusable and shareable research objects, such as data, software tools and workflows, from data-driven research. …”
“The Open Science Reading Group is intended to bring together members of the Stanford Medicine and UCSF communities to learn about open science, discuss the application of open science practices in a biomedical context, and meet other members of the community who are interested in (or already are) incorporating open science practices into their work….”
“In this compendium, we compile Open Science guides with their specific features and fields of application. The book was made as part of a student seminar at the Hannover University of Applied Sciences and Arts in close cooperation with the TIB Open Science Lab as part of TIB Book Sprints R&D….”
“13. To get and stay ahead of the virus, we commit to continue our investment in cutting edge research and innovation, seeking to ensure that global vaccines remain effective against variants of concern, and that effective tests and treatments are available. To this end, we will boost global surveillance and genomic sequencing and swift information sharing needed to enable the rapid detection to combat the virus and its emerging variants. G7 countries should extend every effort to achieve, wherever possible, a level of genomic sequencing of at least 10 per cent of all new positive COVID-19 samples during the pandemic phase and share genomic sequencing information with existing global databases….
36. Underpinning all of these future frontiers, and wider challenges of the coming century, is the importance of scientific discovery and its deployment. We will therefore work together to promote stronger collaboration on research and development, and promote principles of research security and integrity and open science building off the historical levels of collaboration seen in the past year to internationally beneficial results. Central to this should be building a diverse and resilient science and research community, inclusive for all groups including women. Domestically we will seek to redress the imbalance in women’s and girls’ under-representation in science, technology, engineering and mathematics (STEM) which acts as a barrier to access to these growing industries. We will explore how existing and potential new mechanisms and initiatives can support risk reduction, prevention and response to future systemic crises, natural disasters and pace of technological change. As such we endorse the G7 Compact on Research Collaboration and its commitment to: support policies, legal frameworks and programmes to promote research collaboration; promote sharing of research data; explore enhancements to research assessment and rewards for collaboration and knowledge sharing; and develop a common set of principles which will help protect research and innovation ecosystem across the G7 to open and reciprocal research collaboration….”
As Open Societies with democratic values we believe in academic freedom. The freedom to pursue intellectual enquiry and to innovate allows us to make progress on shared issues and drive forward the frontiers of knowledge and discovery for the benefit of the entire world. We recognise that research and innovation are fundamentally global endeavours. Nations, citizens, institutions, and businesses have made huge strides forward, not otherwise possible, through open research collaboration across borders. Working together we will use our position as leading science nations to collaborate on global challenges, increase the transparency and integrity of research, and facilitate data free flow with trust to drive innovation and advance knowledge.
“AIMOS (the Association for Interdisciplinary Meta-Research and Open Science) seeks to advance the interdisciplinary field of meta-research by bringing together and supporting researchers in that field.
Science aims to produce robust knowledge and the concept of reproducible experiments is central to this. However the past decade has seen a ‘reproducibility crisis’ in science.
Across a number of scientific fields, such as psychology and preclinical medicine, large-scale replication projects have failed to produce evidence supporting the findings of many original studies. Meta-research will address this challenge head on….”