Architectures where data is stored, managed, and processed.
OSCARS integrates multiple data spaces to provide comprehensive data services to its users.
The ease with which data can be used for various purposes.
OSCARS enhances data usability by ensuring data is well-documented and easily accessible.
Scientific research that heavily relies on data analysis to formulate conclusions.
OSCARS supports data-driven science by providing extensive data resources and analytical tools.
Any digital material owned by an organization that has value.
OSCARS manages digital assets like research data and software tools to support its open science objectives.
The practice of sharing digital technologies among different organizations or projects to enhance capabilities.
OSCARS encourages digital technologies sharing to leverage existing solutions and expertise.
European Open Science Cloud, aiming to provide a single European repository for research data across disciplines.
OSCARS integrates with EOSC to enhance data sharing across European research infrastructures.
Guidelines that govern the conduct of research to ensure integrity and respect for participants.
OSCARS adheres to high ethical standards to protect the rights and welfare of all research subjects.
Principles that ensure data are Findable, Accessible, Interoperable, and Reusable.
OSCARS ensures all data shared is compliant with FAIR principles to enhance usability.
Guidelines that enhance the clarity, reusability, and efficient management of data.
The data management strategies in OSCARS are structured around the FAIR principles to improve data quality and accessibility.
Research that heavily relies on data that are findable, accessible, interoperable, and reusable.
OSCARS commits to FAIR-data-intensive research to maximize the impact and accessibility of its scientific outputs.
Services that can be easily assembled and reassembled to support various research activities.
OSCARS offers highly composable research-enabling services to provide flexibility in research design and execution.
Services designed to allow for flexible assembly into customized solutions.
OSCARS offers highly composable services that researchers can tailor to specific project needs.
The process of analyzing data in an interactive environment where results are updated in real-time.
OSCARS provides interactive data analysis tools to allow researchers to manipulate data and see results immediately.
Combining or involving two or more academic disciplines or fields of study.
OSCARS promotes interdisciplinarity to enhance the scope and depth of its research projects.
The ability of different systems and organizations to work together.
OSCARS promotes interoperability by adopting standards that facilitate data exchange between different research infrastructures.
Agreed-upon conventions that enable different systems and organizations to work together.
OSCARS adopts interoperability standards to facilitate seamless data sharing across diverse research platforms.
Specifications used to describe and catalog data attributes.
OSCARS adopts metadata standards to streamline the integration of datasets into the EOSC.
The management and integration of activities at the national level within broader projects.
OSCARS coordinates national activities to ensure that local and national research efforts are aligned with international objectives.
Innovative routes or methods in scientific research that open up new areas of inquiry.
OSCARS develops new science pathways to explore emerging scientific fields and challenges.
The practice of providing unrestricted access via the Internet to peer-reviewed scholarly research.
OSCARS commits to open access publishing to maximize the dissemination and impact of research results.
A collaborative space where ideas and technologies are shared freely among different stakeholders.
OSCARS creates an open innovation environment to foster collaboration and speed up scientific discovery.
The practice of making the processes, data, and outputs of scientific research accessible to all levels of society.
OSCARS supports Open Science by providing open access to research data and findings.
Initiatives designed to make scientific research more accessible.
OSCARS supports multiple open science projects to increase transparency and collaboration in research.
Models that outline how an organization or project should operate to achieve its objectives.
OSCARS develops operational models to ensure efficient management and coordination of its activities.
The ability of an organization or project to maintain its operations effectively over the long term.
OSCARS designs its projects with operational sustainability in mind to ensure they can continue without interruption.
Services that are available and applicable across Europe.
OSCARS offers pan-European services to ensure that researchers across the continent can access its resources.
The process of integrating new partners into an existing project or consortium.
OSCARS manages partner onboarding to ensure smooth integration and alignment with project goals.
The act of supplying services to users or clients.
OSCARS focuses on the effective provision of services to ensure that researchers have access to the tools they need.
The various phases that research data goes through from creation to preservation and use.
OSCARS manages the research data lifecycle to maximize data utility and compliance.
The organization, storage, preservation, and sharing of data collected during a research project.
OSCARS provides tools and resources for effective research data management.
Collections of data resources assembled for specific research purposes.
OSCARS develops research data portfolios to provide comprehensive data sets for complex scientific studies.
The highest quality of research performance.
OSCARS aims to foster research excellence by providing top-tier research infrastructure and collaborative opportunities.