Academic libraries and research data management

Purpose. Open Science entails research reproducibility, with an emphasis on data sharing and reuse. Hence, management (RDM) is essential asset in institutions for supporting open science. This study offers a systematic review of the landscape academic libraries. It further examines influence libraries can have if they are involved lifecycle process, how this benefits that started implementing management, especially data-intensive disciplines.
 Methodology. In study, authors analysed Web Scopus databases, searching papers connecting The found total N=387 articles. After removing duplicates applying exclusion inclusion criteria finally N=32 articles, n=20 case studies, n=12 at both national international levels.
 Limitations. has some limitations. Although retrieved as many possible analysis, it should not be considered exhaustive varying studies may also missing from sample. observed there more focused one institution rather than involving different or level. Therefore, would enrich literature show best practices RDM.
 Results. results services implemented countries local argue generates new opportunities librarians to acquire skills part lifecycle.
 Originality/value. reports current state level process.