Efforts to enhance the abilities of individuals or organizations to perform functions, solve problems, and achieve objectives.
OSCARS conducts workshops and training sessions to build the research capacity of its participants.
A system of accreditation that certifies the compliance of organizations or products with specified standards.
OSCARS develops a certification scheme for research data to ensure adherence to FAIR principles.
Using networked remote servers hosted on the internet to store, manage, and process data.
OSCARS leverages cloud computing to facilitate scalable research projects.
Web-based computing services that store and process data online.
OSCARS utilizes cloud services to facilitate scalable and efficient data storage and processing capabilities.
Composable Open Data and Analysis Services, emphasizing modular and reusable research data services.
OSCARS develops CODAS to support diverse research needs across disciplines.
Online platforms that facilitate the sharing and collaborative use of data.
OSCARS develops collaborative data platforms to enable researchers to work together regardless of their physical location.
An online environment where researchers can work together regardless of physical location.
OSCARS provides a collaborative platform to facilitate cooperation among researchers across Europe.
Research conducted by several people or institutions working together.
OSCARS facilitates collaborative research by providing a platform for researchers to share resources and ideas.
Standardized methods for managing data across different systems or organizations.
OSCARS promotes common approaches to data management to ensure consistency and efficiency.
The process of working collaboratively with community groups to address issues that impact their well-being.
OSCARS enhances community engagement by involving local and scientific communities in its project planning.
Online spaces where communities can collaborate, share resources, and communicate.
OSCARS uses community-based platforms to enhance interaction among researchers.
Platforms that are developed with the input and involvement of the community they serve.
OSCARS develops community-based science platforms to ensure they meet the specific needs of their users.
The quality of a system's components to be selected and assembled in various combinations.
OSCARS' CODAS are designed to be highly composable, allowing for tailored solutions to specific research needs.
Incorporating perspectives and methods from multiple disciplines.
OSCARS adopts a cross-domain approach to encourage innovative solutions in research.
The exchange of ideas or techniques from different fields or disciplines.
OSCARS facilitates cross-fertilization among its science clusters to enhance innovation.
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.