Ensuring data can be easily and effectively accessed by intended users.
OSCARS ensures data accessibility through a centralized data portal.
Storing data in a secure and stable manner for long-term preservation.
OSCARS implements data archiving strategies to ensure the longevity and accessibility of scientific data.
The ability of data elements to be combined and recombined to meet various application needs.
OSCARS designs data systems with high composability to allow for flexible use of data across different research projects.
The process of finding data resources that are relevant to specific research needs.
OSCARS develops tools that improve data discovery capabilities for researchers.
The process of integrating data from multiple sources under a unified management system.
OSCARS creates a data federation system to enable seamless access across multiple research entities.
The management framework governing the data assets of an organization.
OSCARS establishes robust data governance policies to ensure the integrity and security of research data.
The process of combining data from different sources into a single, unified view.
OSCARS uses data integration techniques to combine datasets from various European research initiatives.
The stages a piece of data goes through from its initial creation to its final disposal.
OSCARS manages the data lifecycle to ensure data is appropriately handled at every stage.
A document outlining how data will be managed both during and after a research project.
OSCARS requires a data management plan for all its research projects to ensure proper handling of data throughout its lifecycle.
Tools and strategies used to handle, store, and analyze data effectively.
OSCARS develops data management solutions that are tailored to the specific needs of its diverse user communities.
Guidelines that dictate how data is handled, stored, and used.
OSCARS develops data policies that ensure compliance with legal and ethical standards.
Techniques and tools used to process data for analysis or storage.
OSCARS implements advanced data processing solutions to handle large volumes of research data efficiently.
The degree to which data is accurate, complete, and reliable.
OSCARS implements rigorous checks to maintain high data quality across its datasets.
A storage location where data is kept and managed.
OSCARS develops centralized data repositories to facilitate access and reuse of scientific data.
The administration of data resources to ensure they are used efficiently and effectively.
OSCARS practices rigorous data resource management to maintain the quality and availability of its data.
Measures used to protect data against unauthorized access and corruption.
OSCARS employs advanced data security protocols to safeguard sensitive research data.
The practice of making data available to others.
OSCARS promotes data sharing by publishing datasets in an open and accessible manner.
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.