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The main consideration when creating the BioDT technical platform was enabling the developed digital twins (DT) deployable at different sites, making their integration simple, provisioning well-defined APIs, and supporting digital twin development. The poster was first presented at the BioDT Annual Meeting 2023, 13-14 June in Leiden, Netherlands. Visit the BioDT website

High-Performance Computing as a means to support the Digital Twin: the Lumi Supercomputer-Aleksi Kallio, BioDT Digital Twin Technical Platform Leader and Development Manager at CSC The first BioDT webinar on 13 July 2022 presentedthe project'sobjectivesandgoals, and its interaction with theLUMI Supercomputer, fundamental for building its modelling and simulation capabilities. The discussion will pave the way for the four BioDTuse casegroups and how their development can help scientists in predicting future trends in the biodiversity field. The event gives also the opportunity to meet the people behind the project and to interact with them during a poll session and a panel discussion, focussed on analysing the role of biodiversity in the context of climate change and digital twins. Rewatch the webinar here:https://biodt.eu/events/webinar-biodiversity-digital-twin-protection-restoration-ecosystems

Sisällönkuvailun automatisointiratkaisut ovat puhuttaneet kirjastomaailmassa viime vuosina, ja erilaisia kokeiluja on tehty niin Suomessa kuin maailmallakin. Kansalliskirjastossa kehitetty automaattisen sisällönkuvailun Annif-työkalu on herättänyt paljon mielenkiintoa monissa organisaatioissa ja kokemukset ensimmäisistä käyttöönotoista ovat olleet lupaavia. Mitä kehitysvalintoja Annifia rakennettaessa on tehty, ja minkälaisia haasteita kuvailun automatisointiin ylipäätään liittyy?

Liikkumistottumuksista tietoa tuottava teknologia voi parantaa ihmisten elämänlaatua ja tuoda säästöjä yhteiskunnalle. nonPeerReviewed

This document reports the results of an e-infrastructure evaluation performed by the Improved Observation Usage in NWP (iOBS) project. The goal was to evaluate how future e-infrastructure for numerical weather prediction (NWP) could make use of cloud and high-performance computing (HPC) resources. New kinds of computing infrastructure is needed to tackle challenges coming from both data ingestion of crowdsourced data and integration of machine learning components to standard IT systems. As HPC has always been central to NWP this work focused primarily on the possibilities of cloud technologies.

This document is the third and final status and progress report on the service building activities conducted within the EUDAT2020 project. It provides an overview of the highlights and main achievements. The service building activities concentrated in the final year on further progressing in the service developments, realizing the defined CDI architecture, the completion of two new production services. The User Documentation and Training Materials team provided continuous effort in developing and maintaining new and existing documentation and training material. While the activities in the CDI Architecture and Service Rolling Plan concentrated on addressing existing and new requirements, maintaining the service building roadmap and participate in the business offering task on defining criteria for service available, reliability and data durability. Also, an outlook is provided on how service development is sustained after the EUDAT2020 project has finished.

This document provides an overview of the service building activities conducted in the second year of the EUDAT 2020 project. The service building activities in the second year concentrated on further progressing on the consolidation and integration of the existing services, on the implementation the Collaborative Data Infrastructure (or CDI) architecture with support for metadata and a HTTP API, and on addressing requirements within the service building requirements procedure established in the first year. Further, the service building activities have been supplemented by an approach to define and use Technology Readiness Levels (TRL) as used by the European Commission within the EUDAT CDI and services. An initial assessment has been made to define TLR levels on current EUDAT services, either in production or in development.

Different fields of electronic commerce have grown substantially in the last decade. This is mainly due to increased accessibility of internet and the improvements in other network technologies. Also, the abundance of mobile devices has made the electronic commerce easily accessible for everyone, from anywhere, at any time. The biggest form of electronic commerce is online shopping, which is a huge and steadily growing world wide business. The growth of online shopping brings new possibilities for market research and behavioural research. The data from online shopping could, for example, be used to study price changes and commodity consumption across the globe. To study these globe wide phenomena, large quantities of online shopping data is needed. The product catalogues of the online stores are especially well suited for multitude of different researches. To gain large quantities of information from these product catalogues, it should be possible to acquire product catalogues from multiple stores automatically and reliable, over a significant timespan and for multiple consecutive times. In this thesis a web store product scraper software, capable of collecting product catalogue information from several web stores, was implemented. The software was implemented using JavaScript programming language, NodeJS framework, MongoDB NoSQL database and multiple well proven software development architectures. The web store product scraper was configured and tested with several different settings on three different sized web stores. The results were promising. From each store a significant amount of products were scraped. The amounts were also in line with the sizes of the stores. The stores were scraped concurrently and simultaneously without supervision and with low impact on system resources. Collecting product information from online stores is possible and well proven, even though collecting information from large web stores takes time. The information can be scraped concurrently and simultaneously from multiple web stores. Future work should be more concentrated on building a framework around the web store product scrapers than to optimise the system resource consumption. The framework should simplify the configuration and monitoring of multiple simultaneous web store product scrapers.

With ever-increasing amounts of data being produced by next-generation sequencing (NGS) experiments, the requirements placed on supporting e-infrastructures have grown. In this work, we provide recommendations based on the collective experiences from participants in the EU COST Action SeqAhead for the tasks of data preprocessing, upstream processing, data delivery, and downstream analysis, as well as long-term storage and archiving. We cover demands on computational and storage resources, networks, software stacks, automation of analysis, education, and also discuss emerging trends in the field. E-infrastructures for NGS require substantial effort to set up and maintain over time, and with sequencing technologies and best practices for data analysis evolving rapidly it is important to prioritize both processing capacity and e-infrastructure flexibility when making strategic decisions to support the data analysis demands of tomorrow. Due to increasingly demanding technical requirements we recommend that e-infrastructure development and maintenance be handled by a professional service unit, be it internal or external to the organization, and emphasis should be placed on collaboration between researchers and IT professionals.