Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literaturedoi:10.18710/PTQ8X7DataverseNO2021-06-161Ancin-Murguzur, Francisco Javier; Hausner, Vera Helene, 2021, "Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature", https://doi.org/10.18710/PTQ8X7, DataverseNO, V1Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literaturedoi:10.18710/PTQ8X7Ancin-Murguzur, Francisco JavierHausner, Vera HeleneUiT The Arctic University of Norway2021-05-18R369903296987DataverseNOUiT The Arctic University of NorwayAncin-Murguzur, Francisco JavierAncin Murguzur, Francisco Javier2021-04-30Computer and Information ScienceEarth and Environmental Sciencestext miningcausal linkalgorithmliterature reviewComplex interactions among multiple abiotic and biotic drivers result in rapid changes in ecosystems worldwide. Predicting how specific interactions can cause ripple effects potentially resulting in abrupt shifts in ecosystems is of high relevance to policymakers, but difficult to quantify using data from singular cases. We present causalizeR (https://github.com/fjmurguzur/causalizeR), a text-processing algorithm that extracts causal relations from literature based on simple grammatical rules that can be used to synthesize evidence in unstructured texts in a structured manner. The algorithm extracts causal links using the relative position of nouns relative to the keyword of choice to extract the cause and effects of interest. The resulting database can be combined with network analysis tools to estimate the direct and indirect effects of multiple drivers at the network level, which is useful for synthesizing available knowledge and for hypothesis creation and testing. We illustrate the use of the algorithm by detecting causal relationships in scientific literature relating to the tundra ecosystem.2020-12-012020-12-01Tundra ecosystemAlgorithm in R language to perform bibliographic analyseshttps://github.com/fjmurguzur/causalizeRhttps://doi.org/10.5281/zenodo.4817639causalizeR: A text mining algorithm to identify causal relationships in scientific literature - Submitted for reviewcausalizeR: A text mining algorithm to identify causal relationships in scientific literature - Submitted for review00_README.txttext/plainScript.RScript to process the bibliographic data with the causalizeR packagetype/x-r-syntaxcausalizeR.zipSnapshot of the causalizeR package at the moment of publicationapplication/zipData.zipbibliographic files in .bib format as downloaded from Scopusapplication/zip