One of three goals in AGU’s strategic plan is to lead in open science and open data; detailed guidelines, webinars, a help desk and data fair, aimed at AGU authors (but openly available to all), are designed to ensure that all scientific evidence is processed, shared, used ethically and fairly, and is available, preserved, and documented.
Arcadia Science is an R&D institute aspiring to evolve how science is done, who it attracts and rewards, and what it can achieve. Arcadia’s radical experiment in communication requires that all research must be freely accessible at an early stage and cannot be published in journals.
A comprehensive report on how the Aligning Science Across Parkinson’s research initiative has worked toward its goals of promoting OS and collaboration to date. It presents procedures, templates, and findings (metrics) on the approach since the project was launched in 2019 and is updated regularly.
ASAP mandates OA for all publications of work that they fund, to facilitate the rapid and free exchange of scientific ideas and ensure that the research they fund to treat Parkinson’s disease can be leveraged for future discoveries.
This toolkit includes templates, FAQs, documentation, and other items shared by COAPI members. Members share best practices in OA policy advocacy and implementation with each other by email, phone, and face-to-face meetings.
This policy is based on the belief that published research should be promptly and broadly disseminated. It enables the unrestricted access and reuse of all peer-reviewed published research funded, in whole or in part, by the Gates Foundation, including any underlying data sets.
NGLP’s purpose is to improve open access publishing pathways for campus-based and nonprofit publishers by seeding an ecosystem of open infrastructures and mission-aligned service providers. Modular, interoperable OS components may be assembled to meet many publishing needs.
Created to help research funders develop open policies that advance their organizational values, highlighting the continuum that exists between fully open and fully closed policies. Categories include article access, data/code access, reuse, costs, and compliance.
Designed to make policy development easy for funders, includes sample language for policies covering a range of scholarly outputs and sharing practices. Funders can identify the plug-and-play language that best fits their needs and incorporate it into their policies with minimal changes.
Open source, community-built handbook created in GitHub with continual additions/revisions, covering reproducible research, project design, communication, collaboration, ethical research and guidelines for contributors; stakeholders are encouraged to use the guide to understand their roles and responsibilities in data science.