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Research centres, universities and public organisations create datasets that can be reused in research. Reusing data makes it possible to reproduce studies, generate new research questions and new knowledge, but it also gives rise to technical and ethical challenges. Part of these issues are repositories interoperability to accomplish FAIR principles or issues related to data privacy or anonymity. At the same time, funding institutions require that data management plans be submitted for grants, and research tends to be increasingly interdisciplinary. Interdisciplinarity may entail barriers for researchers to reuse data, such as a lack of skills to manipulate data, given that each discipline generates different types of data in different technical formats, often non-standardized. Additionally, the use of standards to validate data reuse and better metadata to find appropriate datasets seem necessary. This paper offers a review of the literature that addresses data reuse in terms of technical, ethical-related issues. [ABSTRACT FROM AUTHOR]

There are several dataset management challenges to be faced in the coming years. The incorporation of the datasets into special collections will be a challenge. As well as formats management, libraries with datasets will have to deal with issues such as right management, interoperability or the election adequacy to the end-user and findability. However, it must be recognized that incompatibilities could be solved through data auditing. The appropriate type of digital preservation strategy will have to be considered in order to maintain accessibility.This paper presents a review of the literature that discusses datasets in special collections. [ABSTRACT FROM AUTHOR]