A5076703593- Research Data Management Practices
- Scientific Computing and Data Management
- Semantic Web and Ontologies
- Research in Social Sciences
- Data Quality and Management
- Big Data Technologies and Applications
- Image Processing and 3D Reconstruction
- Distributed and Parallel Computing Systems
- Social and Educational Sciences
- Historical Education Studies Worldwide
- Historical Influence and Diplomacy
- Data Mining Algorithms and Applications
- Natural Language Processing Techniques
- Business Process Modeling and Analysis
- Religious Education and Schools
- Botany and Plant Ecology Studies
- Occupational Therapy Practice and Research
- Manufacturing Process and Optimization
- Peatlands and Wetlands Ecology
- Literacy, Media, and Education
- Reformation and Early Modern Christianity
- Extractivism and Socioeconomic Issues
- Historical Legal Studies and Society
- Digital Humanities and Scholarship
CSC - IT Center for Science (Finland)
2015-2022
Computational Sensors (United States)
2019-2022
University of Helsinki
2005-2019
Helsinki Art Museum
2005-2009
This document is the first iteration of recommendations for making semantic artefact FAIR. These result from initial discussions during a brainstorming workshop organised by FAIRsFAIR as co-located event with 14th RDA Plenary meeting in Helsinki. We are proposing 17 preliminary related to one or more FAIR principles and 10 best practice improve global FAIRness artefacts. should not be considered gold standard but rather basis discussion various stakeholders community.
This document is the second iteration of recommendations for making semantic artefacts FAIR. These result from initial discussions during a brainstorming workshop organised by FAIRsFAIR as co-located event with 14th RDA Plenary meeting in Helsinki. Based on feedback received there, 17 preliminary related to one or more FAIR principles, and 10 best practice were documented. first published Deliverable 2.2 at beginning 2020[1]. Following various dissemination stakeholder engagement activities,...
The demand for implementation of the FAIR data principles is in many cases difficult a researcher to adhere efficient ways due lacking tools. We suggest categorizing more extensive and systematic way with focus on inherent properties as means enhancing research services. After discussing different approaches data, we propose tripartite categorization based around aspect stability. three types are operational generic publications. Generic validated can be cumulative, i.e. added without...
In this poster we present the FAIR-IMPACT project, “Expanding FAIR solutions across EOSC”, which is funded by European Commission Horizon Europe programme. The acronym stands for Findable, Accessible, Interoperable and Reusable. project coordinated DANS supported 27 additional partners from 11 countries. will build on successful practices, policies, tools technical specifications arising FAIRsFAIR other H2020 projects initiatives, relevant Working Groups of former Open Science Cloud (EOSC)...
This is an extended abstract of the workshop "Beyond Open Access - The Changing Culture Producing and Disseminating Scientific Knowledge", organized by Science Research Initiative in Academic Mindtrek Conference, Tampere, on September 24th 2015. included a short introduction to existing services, questions sustainability case study presentations followed map user needs for platforms services open scientific cooperation.
During the 18th century nobility in Northern parts of Europe was under political and social press, which created an ambition towards increasing cultural exclusion. This also had effects on education girls, came to be focused moral as well aesthetic aspects. On other hand, theoretical knowledge not necessarily neglected, but it embedded French polite culture, that used achieve Some examples girls are presented this article, begins with a discussion importance solid foundation when researching...