“We are pleased to announce the release of version 3.0 of the resource types vocabulary. Since 2015, three COAR Controlled Vocabularies have been developed and are maintained by the Controlled Vocabulary Editorial Board: Resource types, access rights and version types. These vocabularies have a new look and are now being managed using the iQvoc platform, hosted by the University of Vienna Library.
Using controlled vocabularies enables repositories to be consistent in describing their resources, helps with search and discovery of content, and allows machine readability for interoperability. The COAR vocabularies are available in several languages, supporting multilingualism across repositories. They also play a key role in making semantic artifacts and repositories compliant with the FAIR Principles, in particular when it comes to findability and interoperability….”
Abstract: The Functional Annotation of ANimal Genomes (FAANG) project is a worldwide coordinated action creating high-quality functional annotation of farmed and companion animal genomes. The generation of a rich genome-to-phenome resource and supporting informatic infrastructure advances the scope of comparative genomics and furthers the understanding of functional elements. The project also provides terrestrial and aquatic animal agriculture community powerful resources for supporting improvements to farmed animal production, disease resistance, and genetic diversity. The FAANG Data Portal (https://data.faang.org) ensures Findable, Accessible, Interoperable and Reusable (FAIR) open access to the wealth of sample, sequencing, and analysis data produced by an ever-growing number of FAANG consortia. It is developed and maintained by the FAANG Data Coordination Centre (DCC) at the European Molecular Biology Laboratory’s European Bioinformatics Institute (EMBL-EBI). FAANG projects produce a standardised set of multi-omic assays with resulting data placed into a range of specialised open data archives. To ensure this data is easily findable and accessible by the community, the portal automatically identifies and collates all submitted FAANG data into a single easily searchable resource. The Data Portal supports direct download from the multiple underlying archives to enable seamless access to all FAANG data from within the portal itself. The portal provides a range of predefined filters, powerful predictive search, and a catalogue of sampling and analysis protocols and automatically identifies publications associated with any dataset. To ensure all FAANG data submissions are high-quality, the portal includes powerful contextual metadata validation and data submissions brokering to the underlying EMBL-EBI archives. The portal will incorporate extensive new technical infrastructure to effectively deliver and standardise FAANG’s shift to single-cellomics, cell atlases, pangenomes, and novel phenotypic prediction models. The Data Portal plays a key role for FAANG by supporting high-quality functional annotation of animal genomes, through open FAIR sharing of data, complete with standardised rich metadata. Future Data Portal features developed by the DCC will support new technological developments for continued improvement for FAANG projects.
Abstract: The ability to access chemical information openly is an essential part of many scientific disciplines. The Journal of Cheminformatics is leading the way for rigorous, open cheminformatics in many ways, but there remains room for improvement in primary areas. This letter discusses how both authors and the journal alike can help increase the FAIRness (Findability, Accessibility, Interoperability, Reusability) of the chemical structural information in the journal. A proposed chemical structure template can serve as an interoperable Additional File format (already accessible), made more findable by linking the DOI of this data file to the article DOI metadata, supporting further reuse.
“Digital objects are inextricably dependent on their context, the infrastructure of people, processes, and technology that care for them. The FAIR Principles are at the heart of the data ecosystem, but they do not specify how digital objects are made FAIR or for how long they should be kept FAIR. This perspective is provided by the Trustworthy Digital Repository (TDR) requirements by defining long-term digital object preservation expectations. We’re all doing something for someone, and to deliver an effective service at scale, we need a sense of the types of users we have and how we can meet their needs, also in the future.
FAIRsFAIR, SSHOC, and EOSC Nordic are all supporting digital repositories in their journey to achieve TDR status. When sharing experiences, the project teams found out that two fundamental TDR concepts are not always easy to understand: preservation and Designated Community. The draft working paper FAIR + Time: Preservation for a Designated Community was prepared in collaboration with the three projects. It seeks to present key concepts and expand on them to specify the standards and assessments required for an interoperable ecosystem of FAIR (findable, accessible, interoperable and reusable) data preserved for the long term in generalist and specialist FAIR-enabling trustworthy digital repositories (TDR) for a defined designated community of users. It seeks to provide context and define these concepts for audiences familiar with research data and technical data management systems but with less direct experience of digital preservation and trustworthy digital repositories. This is intended to help clarify which organisations are potential candidates to receive CoreTrustSeal TDR status and identify and support the types of organisations that may not be candidates but play a vital role in the data ecosystem. …”
“The national training action “Open science: towards shared knowledge” will be held on October 19 and 20, 2021 in Meudon . Proposed by the DDOR, it is organized jointly with the Inist, the CCSD, the Renatis and Médici networks, and the CNRS data workshop.
This ANF is mainly aimed at information professionals who have a crucial role to play in supporting scientific communities in the open science movement. It is one of the stages in the implementation of the CNRS roadmap and research data plan”
Avanço, Karla, Balula, Ana, B?aszczy?ska, Marta, Buchner, Anna, Caliman, Lorena, Clivaz, Claire, … Wieneke, Lars. (2021, June 29). Future of Scholarly Communication . Forging an inclusive and innovative research infrastructure for scholarly communication in Social Sciences and Humanities. Zenodo. https://doi.org/10.5281/zenodo.5017705
This report discusses the scholarly communication issues in Social Sciences and Humanities that are relevant to the future development and functioning of OPERAS. The outcomes collected here can be divided into two groups of innovations regarding 1) the operation of OPERAS, and 2) its activities. The “operational” issues include the ways in which an innovative research infrastructure should be governed (Chapter 1) as well as the business models for open access publications in Social Sciences and Humanities (Chapter 2). The other group of issues is dedicated to strategic areas where OPERAS and its services may play an instrumental role in providing, enabling, or unlocking innovation: FAIR data (Chapter 3), bibliodiversity and multilingualism in scholarly communication (Chapter 4), the future of scholarly writing (Chapter 5), and quality assessment (Chapter 6). Each chapter provides an overview of the main findings and challenges with emphasis on recommendations for OPERAS and other stakeholders like e-infrastructures, publishers, SSH researchers, research performing organisations, policy makers, and funders. Links to data and further publications stemming from work concerning particular tasks are located at the end of each chapter.
I’ve been watching and participating in FAIR work for a while, first in terms of data, and more recently in research software, workflows, and machine learning models. Some of this has been based on my general interest in how research works and how we improve it, and some has been based on more specific work, such as raising the profile of research software and its developers and maintainers, and even some collaborative work in specific domains, such as high energy physics.
Nowhere in these contexts and communities did anyone get up one morning and say, “I think we should create a new goal, FAIR, and then define metrics to measure how this goal is met.” This concept wasn’t created by funders or bureaucrats to give researchers something else to do and be measured upon. Instead, people who have been thinking for a long time about how research is performed thought about the overall process of research, and over a number of discussions and meetings, decided to identify and name some of the elements of the research ecosystem and process that needed to be improved in an effort to reinvigorate the agenda.
At least in part because they came up with a clever name (FAIR) and did a really good job of disseminating this, it has caught on in the research management, research administration, and research funding communities, and to a lesser extent, in the researcher community as well. And something identifiable that people can pursue and try to measure has led to lots of focus on being FAIR.
But FAIR isn’t the end goal, it’s just one part of the solution.
“FAIRsFAIR monthly webinar series aims to help repository managers become familiar with FAIR-enabling practices. Each webinar will provide an overview of a specific FAIR-enabling activity, share information on recent developments within FAIRsFAIR and other initiatives as well as offering examples of good practice, practical tips and recommendations. Each webinar will last a maximum in 1.5 hours and include time for questions and discussion. Registration is free and open to all however the main audience is repository managers and service providers. Data stewards and developers may also find the session informative.
You can check this page to see additional webinars as topics/dates/times are confirmed or register below to receive notifications by email’. The series will run monthly, from April 2021-February 2022….”
“The European Commission’s annual flagship Research and Innovation event, European Research and Innovation Days, is a key milestone in the implementation of the European Open Science Cloud (EOSC) as the European Commission (EC) and the newly formed EOSC Association sign a Memorandum of Understanding. This marks the start of the Co-programmed European Partnership on EOSC under the Horizon Europe Framework Programme. The EOSC is a key component towards realising the EC’s Open Science policy, providing a European Research Data Commons where data are findable, accessible, interoperable and reusable (FAIR), thus enabling interdisciplinary and impactful science in the digital age.
The Partnership between the newly formed EOSC Association and the European Commission has invited representatives of the Member States and Associated Countries (MS/AC) in its governance. It will ensure until at least the end 2030 a coordinated approach from the European Commission, the MS/AC and the stakeholders in investments and initiatives in the EOSC ecosystem. It will also help ensure directionality and complementary commitments and contributions at all levels….”
“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….”