Research Article
Digital Humanities and Open Science: Initial Aspects
@INPROCEEDINGS{10.1007/978-3-030-77417-2_12, author={Fabiane F\'{y}hr and Edgar Bisset Alvarez}, title={Digital Humanities and Open Science: Initial Aspects}, proceedings={Data and Information in Online Environments. Second EAI International Conference, DIONE 2021, Virtual Event, March 10--12, 2021, Proceedings}, proceedings_a={DIONE}, year={2021}, month={6}, keywords={Digital humanities Open science Data mining Bibliometric Scientific production}, doi={10.1007/978-3-030-77417-2_12} }- Fabiane Führ
Edgar Bisset Alvarez
Year: 2021
Digital Humanities and Open Science: Initial Aspects
DIONE
Springer
DOI: 10.1007/978-3-030-77417-2_12
Abstract
The digital humanities have acquired more and more visibility and their field of action has expanded due to the increasing digitalization and the large volume of data arising from these processes. Collaborative researches on the impact that is in line with the dimensions of open science impact the scientific production chain. It aims to identify which aspects of open science are approached in the publication regarded to digital humanities. To achieve the general objective it indicates some specific objectives: it identifies the scientific production about open science and digital humanities indexed in the databases Web of Science (WoS), Scopus, and Scientific Electronic Library Online (SciELO) and; it describes how open science is approached in each paper from the corpus and how it is related to digital humanities. It uses the bibliographic manager Zotero to organize the bibliographic data and it uses the software Atlas.ti to the qualitative analysis and applies the data mining tool Sobek and Voyant Tools in the data. From the 13 papers analyzed, only 3 do not use projects or programs related to digital humanities to present the discussion. The data mining tools do no show the relation between digital humanities and open science. It shows the importance of data management and the necessity to have guiding documents. It also points to the relevance of metadata pattern, to work to make the data suitable to FAIR principles, to train researchers and citizens to promote collaboration among different institutions and people that have a diverse background to value open science.
