Underlay

“The Underlay is a global, distributed graph database of public knowledge. Initial hosts will include universities and individuals, such that no single group controls the content. This is an attempt to replicate the richness of private knowledge graphs in a public, decentralized manner….

Powerful collections of machine-readable knowledge are growing in importance each year, but most are privately owned (e.g., Google’s Knowledge Graph, Wolfram Alpha, Scopus). The Underlay aims to secure such a collection as a public resource. It also gives chains of provenance a central place in its data model, to help tease out bias or error that can appear at different layers of assumption, synthesis, and evaluation….

The Underlay team is developing the protocols, first instances, and governing rules of this knowledge graph. Information will be added at first by building focused, interpretive overlays — knowledge curated for a particular audience. Overlays could for instance be journals, maps, or timelines, incorporating many sources of more granular information into a single lens….

[Coming in Phase 2:] A network of Underlay nodes at different institutions, demonstrating local vs global updating. An initial pipeline for extracting structured knowledge and sources from documents to populate lower layers. Tools to sync with existing structured repositories such as Wikidata, Freebase, and SHARE. And tools to visualize what is in the Underlay and how it is being used….”

Canadian Open Neuroscience Platform (CONP) – A partnership with Brain Canada and Health Canada

“The Canadian Open Neuroscience Platform (CONP) aims to bring together many of the country’s leading scientists in basic and clinical neuroscience to form an interactive network of collaborations in brain research, interdisciplinary student training, international partnerships, clinical translation and open publishing. The platform will provide a unified interface to the research community and will propel Canadian neuroscience research  into a new era of open neuroscience research with the sharing of both data and methods,  the creation of large-scale databases, the development of standards for sharing, the facilitation of advanced analytic strategies, the open dissemination to the global community of both neuroscience data and methods, and the establishment of training programs for the next generation of computational neuroscience researchers. CONP aims to remove the technical barriers to practicing open science and improve the accessibility and reusability of neuroscience research to accelerate the pace of discovery….”

The SPAR Ontologies

“Over the past eight years, we have been involved in the development of a set of complementary and orthogonal ontologies that can be used for the description of the main areas of the scholarly publishing domain, known as the SPAR (Semantic Publishing and Referencing) Ontologies. In this paper, we introduce this suite of ontologies, discuss the basic principles we have followed for their development, and describe their uptake and usage within the academic, institutional and publishing communities….”

NISO Launches New Project to Facilitate Manuscript Exchange Across Systems | NISO website

“Voting Members of the National Information Standards Organization (NISO) have approved a new project to develop a common means to easily transfer manuscripts between and among manuscript systems, such as those in use at publishers and preprint servers. Those who work in manuscript-processing areas such as production systems, preprint servers, and authoring services are invited to actively engage in community development of a NISO Recommended Practice intended to alleviate pain points encountered by researchers as well as service providers operating in the scholarly ecosystem.”

Golden Rules for Repository Managers

“We are indexing all kinds of academically relevant resources – journals, institutional repositories, digital collections etc. – which provide an OAI interface and use OAI-PMH for providing their contents (learn more about OAI at the Open Archives Initiative or Wikipedia). In case your source does not provide an OAI interface, upload your documents to aggregators like DataCite or Zenodo, to subject repositories like RePEC or add your open access journal to DOAJ. We are indexing these sources regularly.

However, the best way to get your documents indexed by BASE is to provide an OAI interface. We have compiled some golden rules that might be helpful to optimize your OAI interface. If your OAI interface complies with these rules, we can assure fast and smooth indexing of your source. Data from your source will be presented completely and in the best possible way….”