Researchers (e.g., data creators and users): To understand, navigate, and select suitable research tools for managing and sharing data by providing information about their functionalities, relevance, and applicability to the various stages of the research data lifecycle.
Data support professionals (e.g., data managers): To gain improved understanding of the digital research data infrastructure landscape, and become better equipped with essential knowledge of different types of research tools to provide relevant support, training and education.
Open Science/Research/Data Commons professionals: To understand the features, functionalities and interoperability of different types of research tools that can be used within diverse marketplaces or ‘commons’ for data and services.
Tool developers/providers: To: (i) understand the different research tools operating within the digital research data landscape; and, (ii) improve tool features, functionalities, harmonisation and interoperability to enhance data management and sharing practice.
Research performing organisations: To make informed recommendations at the organisational policy level to staff regarding appropriate types of research tools for the management and sharing of research data.
Publishers: To make informed recommendations to authors and journal editors regarding appropriate types of research tools for the management, publication and sharing of data associated with journal manuscripts.
Funders: To make informed recommendations to researchers and project managers based on data management plans for funded research.