Research data management

This study discusses the definition of research data and its relationship to open data, metadata, big data, and research data lifecycle models. Three models were mentioned (the search data lifecycle model in DCC, the research data lifecycle model in Data one, the UKDA search data lifecycle model), and then the classification of research data (restricted data - private data - public data) and research data warehouses and linking them to journals to publish The data and its availability through it, the sharing of research data and the importance of sharing it, determining the reasons for not sharing it and also the ways that lead to sharing research data, how to manage research data, the most important issues of research data management and its application and its relationship to reference citation and citation criteria from research data, developing a research data policy for each data exchange institution, Developing journal policies to make research data available, and how to implement a framework for research data policy in journals, sharing and making them available to the public, through the role of each journal in implementing the policy of making research data available and academic institutions, the role of researchers in making available and sharing research data, and the role of digital repositories as well.