With dozens of government agencies and foundations funding research at over 200 universities and hundreds more institutes and businesses, the United States comprises a challenge to comprehensive open science offerings. Approaches by various government agencies to require and incentivize open access to data will be mentioned, as well as platforms and services that enable data sharing and...
(Title given by organisers: Insights on Open Science & EOSC from an RDA perspective)
Within the complex, international landscape of open science and open data, the research data landscape is highly fragmented, by disciplines or by domains. When it comes to cross-disciplinary activities, the notions of "building blocks" of common data infrastructures and building specific "data bridges" are...
Observations from the “Internet of things” (IoT), such as intelligent cars, phones, buildings and personal weather stations (PWS), including commodity weather sensors, provide detailed information on local to hyper-local meteorological phenomena. This NordForsk infrastructure project (iOBS) will accommodate an increasing amount and diversity of observation data, and provide a system of...
The dinner takes place at Gemyse restaurant inside the famous and magical theme park, Tivoli Gardens. To join the dinner you must select attendance when registering to the conference. You can look forward to a delicious three-course gourmet dinner in...
Shaping up the Nordics for EOSC is based on the work behind the EOSC-Nordic project proposal coordinated by NeIC, which was submitted to the EC during autumn 2018. Shaping up the Nordics for EOSC aims to facilitate the coordination of EOSC relevant initiatives within the Nordic and Baltic countries and exploit synergies to achieve greater harmonisation at policy and service provisioning...
Lifeportal(lifeportal.uio.no/) is a web-based interface developed for researchers who do not have
advanced computer science expertise but need to perform resource-consuming computational
analyses. Lifeportal promotes open science by enabling the users to share and reuse the results
of these analyses, workflows and data among their collaborators or entire workgroups within
one single...
Advances in the development of climate models and associated data viewers and processing tools is achieving unprecedented maturity in the environmental scientific community. This was accompanied by the standardization of model output formats (conventions for Climate and Forecast metadata), the availability of open databases (i.e., the Earth System Grid Federation), and often of the climate...
The Nordic and Baltic genebanks are responsible for conservation of plant genetic resources for food and agriculture. The e-infrastructure used by genebanks is termed Genebank Information Management System (GIMS). Implementation and development of a new Nordic Baltic integrated GIMS with functionalities that allows for incorporation of more data (phenotype/genotype) will be of great benefit...
The Glenna2 project aims to provide added value to the Nordic national cloud and data-intensive computing initiatives by supporting national cloud initiatives to sustain affordable IaaS (Infrastructure as a Service) cloud resources through financial support, knowledge exchange and pooling competency on cloud operations. The national cloud platforms support the projects aim to develop an...
CSC has a new cloud platform called Rahti. It is based on OpenShift - Red Hat's distribution of Kubernetes. It is a generic cloud platform that is suitable for a wide range of use cases from hosting web sites to scientific applications. What differentiates it from previous cloud platforms such as CSC's cPouta is the ease with which applications can be managed, scaled up and made fault...
Jupyter notebooks combine the accessibility of an interactive web-frontend, the reproducibility of a laboratory notebook, and the collaborative potential of a cloud-based deployment. The accessibility and interactivity lowers the barrier for researchers to prototype, write, and share data analysis pipelines, and the literate programming approach of Jupyter makes it particularly simple to...
We will provide an introduction to the application of Artificial
Neural Networks to a variety of tasks in Natural Language Processing
(NLP), i.e. enabling computers to ‘make sense’ of human language. The
tutorial will cover example problems in document classification,
sentiment analysis, and sequence labeling; we will introduce common
architecture variants, such as deep feed-forward...
Many scientific fields are using, or would like to use, personal or sensitive data in the research. Such fields include for example genomics, health, social sciences and language research. The sensitive data that has been cleared for secondary use, should be properly managed and made findable under the same principles than non-sensitive research data. This naturally needs to be done under...
In modern times, computation power is becoming more and more important. However, at the same time, the rest of the world is becoming consumerized: while the general expectation is that information technology is easier to use, the design of high-performance computing (HPC) systems has not kept up with modern developments in computer usability. There are many historical artifacts of how HPC...
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Linux containers, with the build-once-run-anywhere approach, are becoming popular among scientific communities for software packaging and sharing. Docker is the most popular and user friendly platform for running and managing Linux containers. Singularity is a platform for deploying light-weight containers for HPC systems. Kubernetes is a portable orchestration system for managing...
The 15 FAIR Principles have found unusually rapid uptake among a broad spectrum of stakeholders, from research scientists who make data, to e-infrastructures who distribute data, to science funders who track impact of data. Erik will describe the FAIR Principles, their relation to Open data, and review example implementations. This discussion, and these examples will be presented in the...
This workshop will identify common needs to share and develop joint security measures among Nordic e-infrastructures. The workshop focus on identifying requirements and solutions for security compliance to protect the infrastructures and sharing of data. The workshop will cover fields of potential joint interests, such as vulnerability management, security assessments, development of security...
The introduction of the FAIR data management principles in 2016 was a milestone in the field of science. While the terms Findable, Accessible, Interoperable and Re-Usable are well known – the practical implementation remains a challenge and needs the engagement of everyone involved: data managers, long-term repositories and scientists. There are several questions: How to achieve FAIRness for...
The Swedish Research Council has a task from the government of coordinating the national work of introducing open access to research data. Good data management and the FAIR principles are crucial for open access to research data, and as such have been the focus of the coordination work. Criteria for assessing the FAIRness of research data have been produced by the Swedish Research Council and...
The project ‘FAIR Across’ took off in informal discussions among representatives from Danish universities, university libraries, the Royal Library and the Danish National Archives (DNA) in the National Forum for Research Data Management. The starting point was the shared view that the FAIR data principles had to be presented to researchers in new ways in order to be implemented into research...
Artificial Intelligence can solve new problems, but AI also brings along new ethical and legal issues, such as: Can I trust the AI model? Can I explain it to others? Is it biased, unfair or even illegal? What is algorithmic transparency or algorithmic fairness? Is privacy good or bad for AI research or vice versa? I will pinpoint some key AI research challenges, of which some are solvable and...
Presentation of the Danish Research Data Alliance Node
Zaza Nadja Herbert-Hansen and Anne Sofie Fink, Danish National Archives, project management for DK- RDA-Node
The Research Data Alliance (RDA) builds the social and technical bridges to enable the open sharing and re- use of data. The RDA Vision is that rResearchers and innovators openly share data across technologies, disciplines, and...
The ELIXIR Cloud Platforms are a collection of cloud services offered by national ELIXIR nodes to serve research use cases from different ELIXIR communities. ELIXIR Cloud platform leverages all four ELIXIR Compute Platform 2019 -2023 Work Programme pillars (AAI, Data Storage & Transfer Services, Hybrid Cloud and Container Orchestration Services), including building on internal cross-platform...
The provision of research data in accordance with the FAIR principles could be seen as a cornerstone of Open Science and will be a major deliverable of the European Open Science Cloud (EOSC). In this session we will explore various aspects of the implementation of FAIR in the Nordic countries, covering perspectives from the researcher to the policy-maker. Topics can include the roles of the...
Through the Nordic e-Infrastructure Collaboration (NeIC) together the Nordic countries are tackling e-infrastructure challenges beyond singular national capabilities. Specific aspects of two current NeIC projects are highlighted on this poster.
Dellingr, NeIC's cross-border resource sharing project, contributes towards establishing a framework for resource sharing across the Nordics....
