“The EOSC Digital Innovation Hub (DIH) is a mechanism for private companies to collaborate with public sector institutions in order to access technical services, research data, and human capital.
The DIH will kick-start with six business pilots, pre-selected during the project’s preparation phase. The support given by the DIH to the business pilots will open the benefits of the European Open Science Cloud to private companies.
The EOSC-hub DIH is open for more collaborations. If you are looking for new opportunities to advance your business, we invite you to contact us now to identify how you can become part of the European Open Science Cloud….”
“Riffyn, a global provider of cloud-based experiment design and data analytics software, has launched Riffyn Open Access which provides free use of its patented Scientific Development Environment (SDE) to any member of a non-profit organization. Open Access users have a full-featured Riffyn SDE account to create and openly share reusable experimental methods and data on the platform….”
Abstract: Open data in science requires precise definition of experimental procedures used in data generation, but traditional practices for sharing protocols and data cannot provide the required data contextualization. Here, we explore implementation, in an academic research setting, of a novel cloud-based software system [Riffyn] designed to address this challenge. The software supports systematic definition of experimental procedures as visual processes, acquisition and analysis of primary data, and linking of data and procedures in machine-computable form. The software was tested on a set of quantitative microbial-physiology experiments. Though time-intensive, definition of experimental procedures in the software enabled much more precise, unambiguous definitions of experiments than conventional protocols. Once defined, processes were easily reusable and composable into more complex experimental flows. Automatic coupling of process definitions to experimental data enables immediate identification of correlations between procedural details, intended and unintended experimental perturbations, and experimental outcomes. Software-based experiment descriptions could ultimately replace terse and ambiguous ‘Materials and Methods’ sections in scientific journals, thus promoting reproducibility and reusability of published studies.
“Any person affiliated with a non-profit organization, whose mission aligns with Riffyn’s values — notably a commitment to truth, integrity, democratic discourse, diversity of idea and cultures, community, equal opportunity, and social and environmental stewardship — can obtain access to the Riffyn SDE Software-as-a-Service (SaaS) and the publicly-shared content stored therein, via a no-cost Riffyn Open Access Account. A Riffyn Open Access Account will be granted upon acceptance of Riffyn’s Individual Open Access Account Agreement. The agreement implements the principles outlined in this policy….”
“The Leibniz Research Alliance Science 2.0 has launched its new online platform ‘Generation R’ (R = researcher) which encourages knowledge sharing and discourse about an open scholarly system in the digital age.”
Abstract: Academic libraries fail to take advantage of the network effect because they manage too many digital repositories locally. While this argument applies to all manner of digital repositories, this article examines the fragmented environment of institutional repositories, in which effort and costs are duplicated, numerous software platforms and versions are managed simultaneously, metadata are applied inconsistently, users are served poorly, and libraries are unable to take advantage of collective data about content and users. In the meantime, commercial IR vendors and academic social networks have shown much greater success with cloud-based models. Collectively, the library profession has enough funding to create a national-level IR, but it lacks the willingness to abandon local control.
“e-Infrastructures foster the emergence of Open Science, i.e. new working methods based on the shared use of ICT tools and resources across different disciplines and technology domains as well as sharing of results and an open way of working together. Furthermore, e-Infrastructures enable and support the circulation of knowledge in Europe online and therefore constitute an essential building block for the European Research Area (ERA).
The European Commission launched the “European Cloud Initiative – Building a competitive data and knowledge economy in Europe” to capitalise on the data revolution. Under this initiative, a European Data infrastructure will combine world-class supercomputing capability with high-speed connectivity and leading-edge data and sofware services for science, industry and the public sector. This will stimulate Open science and innovation by enabling researchers to access and re-use the huge amounts of scientific data.
The European Cloud initiative will fully unlock the value of big data and foster scientific and technological innovation while helping achieve the objectives of the Digital Single Market Strategy.
“Trellis is an exciting, new, digital communication and collaboration platform from the American Association for the Advancement of Science (AAAS)….Enjoy collaborating online. Whatever your group sie, using Trellis’ cloud-based toolkit you can quickly create and save documents to the cloud, share projects and host online events….”
“Hyku and Invenio. Hyku is community-developed as a turnkey Samvera application and Invenio is developed by CERN. Both systems are modern, attractive and well-suited for both traditional and non-traditional content. Bring together your theses, articles, research data, and software under one high-quality repository….All repositories we host will be fully open source. We guarantee to transfer the entire installation to a host of your choice if you decide to switch platforms. …”
“CREDIT is a cloud-enabled SaaS tool for data management to provide an opportunity to authors to register their Additional Research Outputs(AROs) reflecting RAW, REPEAT & NULL/NEGATIVE entities generated at various stages of research workflow to ensure their reusability & gaining credit. Hence contributing towards enriching research articles & reproducible science. CREDIT framework & interface is developed on FAIR data principles….The appearance of these badges happens dynamically, hence creates a possibility that the metrics around the data, when readers engage with it would be fed back to the main published article in real-time (accessible via the badge – Enhancing Discoverability and also giving credits to Authors). And in the near-future we also have plans to roll out Badges that can be embedded in PDF articles….”