Crossref is an official digital object identifier (DOI) Registration Agency of the International DOI Foundation. It is run by the Publishers International Linking Association Inc. (PILA) and was launched in early 2000 as a cooperative effort among publishers to enable persistent cross-publisher citation linking in online academic journals.
This blogpost provides an overview of the specific ways that Crossref (along with organizations and initiatives like DataCite, ORCID, and ROR) helps U.S. federal agencies (and any other funder) meet critical aspects of the United States Office of Science and Technology Policy (OSTP) Nelson Memo’s recommendations.
This project has developed a values-based open source implementation and assessment program, crucial to developing a trustworthy data analysis ecosystem. While building standardized, easily accessible epidemiological software tools, Epiverse will be applying this values-based framework to metrics gauging the initiative’s success.
A global data analysis ecosystem creating standardized, accessible epidemiological software tools to solve real-world health problems. Three prongs include TRACE – the interoperable tools and software; BUILD – scaffolding for interdisciplinary engagement; and CONNECT – global community dedicated to innovation and health equity.
Aiming to pilot a multi-team research initiative that utilizes many of the ICOR solutions to push the boundaries of open collaborative science. Starting with a traditionally funded project, additional support from progressive funders will permit tracking incremental costs, practices, and tools of “flipping to open.”
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.
Null Hypothesis is a collaboration between leading biomedical journals, research institutions and research funders to get more non-positive results published and discoverable. This initiative represents a focused effort to shine light on dark data – null results that never get written up, published or made discoverable, and whose absence from the accessible body of knowledge can impact the interpretation of the scientific evidence.
Developing templates that enable best open science practices and provide team members alternatives to inter-institutional agreements; documents are built around open science pillars, i.e., no restrictive IP, open sharing of all resources, and sharing credit through attribution and persistent digital identifiers.
As more research outputs are shared, a common schema and nomenclature will improve discoverability and reproducibility, increase resuse, and enable meta-analyses. All outputs need categorization, tagging, adequate metadata, and persistent idenfitiers.