BEGIN:VCALENDAR
VERSION:2.0
PRODID:-// - ECPv6.16.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://eosc-austria.at
X-WR-CALDESC:Events for 
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260616
DTEND;VALUE=DATE:20260617
DTSTAMP:20260524T210412
CREATED:20260430T145338Z
LAST-MODIFIED:20260430T145338Z
UID:21845-1781568000-1781654399@eosc-austria.at
SUMMARY:Trusted frameworks for secure and efficient data sharing in EOSC (EOSC Partnership)
DESCRIPTION:Expected Outcome: \nProject results are expected to contribute to the following outcomes: \n\nCountries\, research communities and institutions are equipped with data sovereignty frameworks harmonised within EOSC and aligned with EU legislation and international agreements.\nImproved mechanisms and solutions for effective control over sensitive data and for enabling lawful data use and sharing across EU member states\, scientific disciplines and third countries with EU adequacy decision in place.\nMore harmonised guidelines\, support and training to researchers and data stewards on applying EU and national legislation and international agreements for data access\, sharing\, reuse\, licensing and associated services within EOSC.\nIncreased interoperability with relevant solutions of other European data spaces for secure data management and processing.\n\nScope: \nResearch data sovereignty refers to the possibility for effective control by data owners of data usage and sharing when necessary. Effective and transparent community-driven data sovereignty frameworks are important enablers of open science\, in particular ensuring safe and trusted management of personal or sensitive data\, safeguarding the quality of curated research datasets and the effective application of related EU and national digital and data legislation. Data sovereignty mechanisms can also improve the resilience and preparedness of research and data infrastructures against risks related to access to and preservation of critical data and services\, including risks related to data generated and stored outside the EU/EEA. \nThe exponential growth of available research data and the increasingly collaborative and cross-disciplinary research has accentuated challenges related to secure\, efficient and lawful cross-border data sharing for research purposes. Removing barriers to data sharing while ensuring data sovereignty is crucial to realise the potential of EOSC to foster trusted cross-country and cross-discipline scientific collaboration. \nThis topic aims to support data sovereignty while enabling seamless and trusted data sharing and access across scientific disciplines\, EU Member States and third countries where the EU considers sufficient data protection is in place\, tackling different regulatory regimes and procedures. \nProposals should include the following activities: \n\nDevelopment and implementation of national\, community and/or institutional research data sovereignty frameworks\, including policies for data sharing and access\, harmonised and aligned with EU digital and data legislation and international agreements such as adequacy decisions and digital partnership agreements\, as well as best practices from EOSC\, related common European data spaces and international data-sharing standards and initiatives.\nDemonstration and validation of concrete adoption cases of data sovereignty policies by national\, community or institutional actors\, aligned with open science and the FAIR data principles.\nDevelopment of harmonised governance frameworks\, ensuring smooth enforcement of data sovereignty policies.\nDevelopment of comprehensive data provenance tools to trace and verify the quality and lineage of data used in research\, and demonstration through identified use cases within relevant selected thematic areas.\nDevelopment of templates and guidelines for secure and sovereign data management\, including template agreements on data sharing\, publication\, and reuse\, and guidelines for licensing.\nDevelopment of guidelines for classifying critical data and services based on sensitivity and relevance to scientific communities and European policies\, and for managing risks related to access to and preservation of such critical data and services.\nAnalysis of data categories and definitions across scientific disciplines\, incorporating compliance with security requirements set out in EU and national legislation.\nDevelopment of recommendations for the establishment of a support centre\, linking with relevant national and thematic competence centres\, focused on compliance of data management with EU and national legislation\, and proof of concept of its integration and sustainable operation in the EOSC Federation.\n\nProjects are encouraged to explore synergies with relevant EU initiatives such as other common European data spaces that address sensitive data or data critical for research. To ensure complementarity and use of latest research results\, proposals should build on ongoing and previous INFRAEOSC projects such as those funded by topics 2023-EOSC-01-06\, 2023-EOSC-01-04 and 2024-EOSC-01-04 and align with the EOSC Federation policies and standards[1]. This topic implements the co-programmed European Partnership for the European Open Science Cloud[2]. \n[1] As described in the EOSC Federation Handbook and other relevant documentation potentially adopted by the EOSC Federation \n[2] https://eosc.eu/partnership/
URL:https://eosc-austria.at/events/trusted-frameworks-for-secure-and-efficient-data-sharing-in-eosc-eosc-partnership/
CATEGORIES:Funding Calls
ATTACH;FMTTYPE=image/jpeg:https://eosc-austria.at/wp-content/uploads/2024/06/ec-1200.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260616
DTEND;VALUE=DATE:20260617
DTSTAMP:20260524T210412
CREATED:20260430T145445Z
LAST-MODIFIED:20260430T145445Z
UID:21847-1781568000-1781654399@eosc-austria.at
SUMMARY:Uptake of FAIR data management practices and of EOSC by research communities and research infrastructures (EOSC Partnership)
DESCRIPTION:Expected Outcome: \n\nIncreased adoption of open science and research data management practices in line with the FAIR principles by researchers and across research infrastructures (RIs) in Europe.\nIncreased uptake of the EOSC Federation by researchers through the long-term sustainable provision in the Federation of scientific services and high-quality\, FAIR research data\, and their integration in scientific workflows addressing current gaps and needs of research communities.\nResearch communities\, as well as ESFRI and other European research infrastructures increase their alignment with EOSC standards and policies\, and their capacity to integrate in the EOSC Federation.\n\nScope: \nThis topic aims to further increase across Europe the adoption of open science and research data management practices in line with the FAIR principles\, and to support the development of a user-focused and science-driven EOSC Federation. \nIt capitalises on the previous work by Science Clusters in enabling open science practices\, FAIR implementation and managing open calls for multi-disciplinary science projects. It also builds on the experience by several RIs and other organisations as active participants in building the EOSC Federation\, either through the establishment of EOSC nodes or the onboarding of resources to EOSC nodes[1]\, to support the engagement of underrepresented RIs and research communities into the EOSC ecosystem. \nProposals should cover both the following activities: \n1) Accelerate FAIR adoption and the contribution to and use of EOSC resources by multiple research communities through open science projects. \nThis activity should be implemented through open calls that provide grants to third parties for open science projects through a cascading grant mechanism. The open calls should encourage\, where applicable\, cross-RI and/or cross-domain collaborations\, including for data access\, use and reuse. \nOpen science projects should address questions of high scientific impact\, adopting best practices for FAIR data and service management and demonstrating their benefits. Their activities may include developing\, annotating\, curating and making FAIR high-value datasets\, developing direct pipelines to integrate large-scale experimental data in repositories federated in EOSC\, operationalising data access for AI-based applications\, reusing existing datasets\, enhancing existing and developing new vocabularies\, data standards\, metadata mappings and crosswalks\, developing software\, tools and services\, or supporting open science community building. \nThey should cover a broad range of (academic and/or industrial) research communities and scientific disciplines\, including those less represented in the EOSC Federation. They should make use of resources available in the EOSC Federation and adopt existing EOSC policies and standards[2]\, where possible. Projects should strive to ensure the sustained\, beyond the projects’ duration\, integration\, deployment and operation of relevant outcomes in the EOSC Federation. \nAt least EUR 29 million of the EU contribution to this topic should be used in this activity[3]. The financial support to third parties for the open science projects must be provided in the form of grants that should be between EUR 100 000 and 250 000 per grant for a duration of 12 to 24 months. The consortium shall put in place adequate measures to support the integration of the open science projects’ results into the EOSC Federation. These could include mentoring\, training and any other activities providing effective linkage to the EOSC Federation and EOSC Nodes\, as needed for the specific nature of each project. \n2) Support the integration of thematic research and RI communities in the EOSC Federation \nThe following activities should be included: \n\nCoordinating\, aligning and networking existing community-based competence centres on FAIR and open science practices developed within the EOSC ecosystem.\nDeveloping training programmes\, modules and material on FAIR and open science practices tailored to the specific needs of different thematic research communities. This activity should include feedback mechanisms to ensure that the training services are responsive to the evolving needs of EOSC user communities.\nDeveloping frameworks for the provision and continuous evolution of high-impact services and data repositories onboarded to the EOSC Federation\, fostering interoperability and integration of data and resources from diverse scientific domains and promoting their sharing through the EOSC Federation.\nEstablishing mechanisms for the integration and long-term sustainable provision of all relevant outcomes into the EOSC Federation\, as well as for continuous feedback and adaptation\, ensuring evolving requirements of researchers and RIs are met within the EOSC ecosystem.\nEngaging underrepresented thematic research and RI communities to increase their integration in EOSC.\n\nProposals are expected to cooperate and align with activities of the EOSC Partnership and to coordinate with relevant initiatives and projects\, including actions awarded under topics HORIZON-INFRA-2025-01-EOSC-01\, HORIZON-INFRA-2025-01-EOSC-02 and HORIZON-INFRA-2027-01-EOSC-01. This may include the upgrade\, deployment and adoption where appropriate of existing community-endorsed pilot\, tools\, services and standards developed by past and ongoing INFRAEOSC projects. To this extent\, proposals should provide for dedicated activities and earmark appropriate resources. \nIn this topic the integration of the gender dimension (sex and gender analysis) in research and innovation content is not a mandatory requirement. This topic implements the co-programmed European Partnership for the European Open Science Cloud[4]. \n[1] Relevant information and documentation about the EOSC Federation can be found in the EOSC Federation Handbook and other relevant documentation adopted by the EOSC Federation. \n[2] As described in the EOSC Federation Handbook and other relevant documentation potentially adopted by the EOSC Federation. \n[3] Including reasonable administrative and management costs related to the open calls for the financial support to third parties. \n[4] https://eosc.eu/partnership/
URL:https://eosc-austria.at/events/uptake-of-fair-data-management-practices-and-of-eosc-by-research-communities-and-research-infrastructures-eosc-partnership/
CATEGORIES:Funding Calls
ATTACH;FMTTYPE=image/jpeg:https://eosc-austria.at/wp-content/uploads/2024/06/ec-1200.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260616
DTEND;VALUE=DATE:20260619
DTSTAMP:20260524T210412
CREATED:20260522T092957Z
LAST-MODIFIED:20260522T092957Z
UID:21986-1781568000-1781827199@eosc-austria.at
SUMMARY:Summer School for Data Stewards 2026
DESCRIPTION:The Summer School for Data Stewards is a three-day intensive programme focused on developing skills in research data management in line with FAIR principles. \nThe programme will guide participants through the full data workflow – from organisation and documentation to practical use. It will focus on creating and managing data management plans using the Data Stewardship Wizard\, illustrated with practical examples from the national research data infrastructure. We will also show when and how Jupyter Notebooks can help streamline data work\, supporting both analysis and documentation. \nThe programme will include discussion sessions\, providing space for participants to share practical experiences. Attention will also be given to communication skills\, which are essential for data stewards in everyday collaboration. The programme will be enriched by an international guest\, Matthias Täschner from Leipzig University\, whose work and approach we introduced in a recent interview. \nThe Summer School is intended for both project and institutional data stewards. On the second morning\, the programme will be divided into two parallel tracks according to focus areas\, allowing participants to choose the option that best suits their interests. \nThe language of instruction will be adapted to the composition of participants. \nAll participants will receive a certificate of completion. \nThe workshop recordings from the Summer School and the presentations will be available. The event will not be streamed (it will not be possible to attend online). \nThe Summer School has a capacity of 35 participants. If you are considering registering multiple participants from the same institution\, please take this into account. \nOrganisational Information: \n\nMeals and accommodation will be provided for registered participants. Any accommodation required on the day before the programme is the responsibility of the participant.\nTravel expenses must be covered individually by participants.\nThe event is funded by the IPS EOSC-CZ project.\n\n\nRegistration \n\n\n\n 
URL:https://eosc-austria.at/events/summer-school-for-data-stewards-2026/
LOCATION:Jeseníky Mountains
CATEGORIES:F2F Events
ATTACH;FMTTYPE=image/png:https://eosc-austria.at/wp-content/uploads/2026/05/letni_skola-banner_en.png
END:VEVENT
END:VCALENDAR