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Understanding computational web archives research methods using research objects
2016
2016 IEEE International Conference on Big Data (Big Data)
Use of computational methods for exploration and analysis of web archives sources is emerging in new disciplines such as digital humanities. This raises urgent questions about how such research projects process web archival material using computational methods to construct their findings. This paper aims to enable web archives scholars to document their practices systematically to improve the transparency of their methods. We adopt the Research Object framework to characterize three case
doi:10.1109/bigdata.2016.7840982
dblp:conf/bigdataconf/MaemuraBM16
fatcat:giovmfebmnhetl7jevfmvjmonm