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Mapping digital humanities in Spain (1993-2019) This dataset has been extensively analysed in the following paper https://doi.org/10.3145/epi.2020.nov.01 and has also been used for the following poster https://doi.org/10.5281/zenodo.4256689

The article discusses the current situation in the adoption of digital tools and practices in the humanities and arts in Lithuania, based on a major European survey conducted by the Digital Research Infrastructure for the Arts and Humanities (DARIAH) in 2014 and 2015. The survey was aimed at understanding existing scholarly practices, methods and tools that are applied by researchers, as well as attitudes towards digital technologies in research and scholarship. This article analyzes specific aspects of scholarly research activities and digital needs in Lithuania, and provides evidence-based insights on the national digital humanities landscape.

Most humanists would agree that sharing knowledge with other researchers is a cornerstone of academic life. Many will also fear that sharing too much, too early can be professionally damaging, however. And many also would not find much resonance between how they see their work and the discourses of Open Data, with its emphasis on particular approaches to Data Management Planning that have been adapted from other, more data intensive, disciplines. What we recommend here proposes a different approach to data management, viewing it as a reflective process that exposes and tweaks existing behaviours, rather than one that introduces specific tools. It is intended to encourage awareness of one’s own processes and mindfulness about how they could be more open.; Most humanists would agree that sharing knowledge with other researchers is a cornerstone of academic life. Many will also fear that sharing too much, too early can be professionally damaging, however. And many also would not find much resonance between how they see their work and the discourses of Open Data, with its emphasis on particular approaches to Data Management Planning that have been adapted from other, more data intensive, disciplines. What we recommend here proposes a different approach to data management, viewing it as a reflective process that exposes and tweaks existing behaviours, rather than one that introduces specific tools. It is intended to encourage awareness of one’s own processes and mindfulness about how they could be more open.