“IFLA has endorsed the WikiLibrary Manifesto, aimed at connecting libraries and Wikimedia projects such as Wikibase in order to promote the dissemination of knowledge in open formats, especially in linked open data networks….”
“Research software is a fundamental and vital part of research worldwide, yet there remain significant challenges to software productivity, quality, reproducibility, and sustainability. Improving the practice of scholarship is a common goal of the open science, open source software and FAIR (Findable, Accessible, Interoperable and Reusable) communities, but improving the sharing of research software has not yet been a strong focus of the latter.
To improve the FAIRness of research software, the FAIR for Research Software (FAIR4RS) Working Group has sought to understand how to apply the FAIR Guiding Principles for scientific data management and stewardship to research software, bringing together existing and new community efforts. Many of the FAIR Guiding Principles can be directly applied to research software by treating software and data as similar digital research objects. However, specific characteristics of software — such as its executability, composite nature, and continuous evolution and versioning — make it necessary to revise and extend the principles.
This document presents the first version of the FAIR Principles for Research Software (FAIR4RS Principles). It is an outcome of the FAIR for Research Software Working Group (FAIR4RS WG).
The FAIR for Research Software Working Group is jointly convened as an RDA Working Group, FORCE11 Working Group, and Research Software Alliance (ReSA) Task Force.”
“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 Biodiversity Literature Repository (BLR) has been growing from a community on Zenodo to be a service dedicated to liberate and make open access, FAIR (findable, accessible, interoperable and reusable) data hidden in the hundreds of millions of pages of scholarly publications.
It is built on top of Zenodo, a digital repository hosted at CERN, which provides a sustainable and robust infrastructure for long tail research data, which can consist of small datasets that otherwise would be lost.
Originally a collaboration between Zenodo, Plazi and Pensoft, BLR began as a repository for taxonomic publications which lacked Digital Object Identifiers (DOI) and thus were effectively orphaned from the network of online citations. As it grew its scope expanded to morphed into a highly interlinked repository that focuses on include illustrations and taxonomic treatments contained in publications with all these content types interlinked among themselves and enhanced with and rich metadata.
The source data for BLR are scholarly publications that are most often in PDF or html format but sometimes in XML formats whose structured data facilitates the automated data extraction.
The largest data users are the Global Biodiversity Information Facility (GBIF) and the United States’ National Center for Biotechnology Information (NCBI).
Support of BLR comes from the Arcadia Fund and the three partner institutions Zenodo, Plazi and Pensoft.”
“This document describes the cooperation and collaboration of BHL and Plazi, on common goals. It outlines common goals and areas of common interests, and clarifies key areas of responsibility. The digital arena allows building a large corpus of literature and from that a “graph” of knowledge or knowledge graph through identification, extraction and linking of data. It provides an emerging access platform to the knowledge beyond the conventional traditional human-reader focused access. It allows new modes of access, including text and data mining, search, visualization and the discovery of new findings based on the accessibility of data. This knowledge graph does not replace existing media, but rather complements them. In the case of biodiversity sciences, it is based on both the estimated 500 Million pages of biodiversity literature and on increasingly born-digital publications. In biodiversity, the very rich data centric publications with the highly sophisticated implicit citation networks are a perfect base to build such a knowledge graph. In order to build the knowledge graph, the data in the publications must be liberated and made open, findable, accessible, interoperable, reusable (FAIR) for machine use. This is the necessary additional step after the digitization of existing literature….”
“Various FAIR criteria pertaining to machine interaction with scholarly artifacts can commonly be addressed by means of repository-wide affordances that are uniformly provided for all hosted artifacts rather than through artifact-specific interventions. If various repository platforms provide such affordances in an interoperable manner, devising tools – for both human and machine use – that leverage them becomes easier.
My involvement, over the years, in a range of interoperability efforts has brought the insight that two factors strongly influence adoption: addressing a burning issue and delivering a KISS solution to tackle it. Undoubtedly, FAIR and FAIR DOs are burning issues. FAIR Signposting <https://signposting.org/FAIR/> is an ad-hoc repository interoperability effort that squarely fits in this problem space and that purposely specifies a KISS solution, hoping to inspire wide adoption.”
Abstract: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic will be remembered as one of the defining events of the 21st century. The rapid global outbreak has had significant impacts on human society and is already responsible for millions of deaths. Understanding and tackling the impact of the virus has required a worldwide mobilisation and coordination of scientific research. The COVID-19 Data Portal (https://www.covid19dataportal.org/) was first released as part of the European COVID-19 Data Platform, on April 20th 2020 to facilitate rapid and open data sharing and analysis, to accelerate global SARS-CoV-2 and COVID-19 research. The COVID-19 Data Portal has fortnightly feature releases to continue to add new data types, search options, visualisations and improvements based on user feedback and research. The open datasets and intuitive suite of search, identification and download services, represent a truly FAIR (Findable, Accessible, Interoperable and Reusable) resource that enables researchers to easily identify and quickly obtain the key datasets needed for their COVID-19 research.
“CIVIS universities promote the development of new research indicators to complement the conventional indicators for research quality and impact, so as to do justice to open science practices and, going beyond pure bibliometric indicators, to promote also non-bibliometric research products. In particular, the metrics should extend the conventional bibliometric indicators in order to cover new forms of research outputs, such as research data and research software….
Incentives and Rewards for researchers to engage in Open Science activities
Research career evaluation systems should fully acknowledge open science activities. CIVIS members encourage the inclusion of Open Science practices in their assessment mechanisms for rewards, promotion, and/or tenure, along with the Open Science Career Assessment Matrix….”
“By embracing Open Science as one of its five core principles1, Utrecht University aims to accelerate and improve science and scholarship and its societal impact. Open science calls for a full commitment to openness, based on a comprehensive vision regarding the relationship with society. This ongoing transition to Open Science requires us to reconsider the way in which we recognize and reward members of the academic community. It should value teamwork over individualism and calls for an open academic culture that promotes accountability, reproducibility, integrity and transparency, and where sharing (open access, FAIR data and software) and public engagement are normal daily practice. In this transition we closely align ourselves with the national VSNU program as well as developments on the international level….”
Abstract: Dockstore (https://dockstore.org/) is an open source platform for publishing, sharing, and finding bioinformatics tools and workflows. The platform has facilitated large-scale biomedical research collaborations by using cloud technologies to increase the Findability, Accessibility, Interoperability and Reusability (FAIR) of computational resources, thereby promoting the reproducibility of complex bioinformatics analyses. Dockstore supports a variety of source repositories, analysis frameworks, and language technologies to provide a seamless publishing platform for authors to create a centralized catalogue of scientific software. The ready-to-use packaging of hundreds of tools and workflows, combined with the implementation of interoperability standards, enables users to launch analyses across multiple environments. Dockstore is widely used, more than twenty-five high-profile organizations share analysis collections through the platform in a variety of workflow languages, including the Broad Institute’s GATK best practice and COVID-19 workflows (WDL), nf-core workflows (Nextflow), the Intergalactic Workflow Commission tools (Galaxy), and workflows from Seven Bridges (CWL) to highlight just a few. Here we describe the improvements made over the last four years, including the expansion of system integrations supporting authors, the addition of collaboration features and analysis platform integrations supporting users, and other enhancements that improve the overall scientific reproducibility of Dockstore content.