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ESCALATOR - Stakeholder map data workflow

Authors: Van Der Walt, Anelda; Treasure, Anne;

ESCALATOR - Stakeholder map data workflow

Abstract

The stakeholder map project aims to collect and share data on Digital Humanities (DH), Computational Social Sciences (CSS) and related activities and initiatives in South Africa. This data includes information about South African researchers, projects, publications, tools, datasets, academic programmes, training events, learning materials, and more. The aim is to provide deeper insight into the breadth of activities in this area, facilitate enhanced networking and collaboration, and support the optimal use of resources. The stakeholder map will, for example, support researchers looking for collaborators, help potential students to identify undergraduate and postgraduate training programmes, and highlight gaps and opportunities to funders and institutions. The initial design of the data pipeline and workflow for data visualisation has been completed. The pipeline is primarily based on open-source software and platforms often used in the open science community. Development is currently under way. Data will be captured via Google Forms and manipulated using R scripts, available on GitHub and archived in Zenodo. Interactive visualisations will be published on the ESCALATOR website. These visualisations include a [Shiny app](https://shiny.rstudio.com/) that will allow the community to explore data through a web interface and a [Kumu network visualisation](https://kumu.io/). Research articles can be added to an [open collection in Zotero](https://www.zotero.org/groups/3866799/dhcssza) to facilitate easy access to publications from the South African community. This diagramme shows the high-level workflow. We anticipate the diagramme will be updated as design and development progresses to incorporate lessons learned and feedback from the community.

Keywords

github, R shiny apps, data workflow, stakeholder map, zenodo, ESCALATOR, kumu

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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