Toward Open Computational Communication Science: A Practical Road Map for Reusable Data and Code.
Computational communication science (CCS) offers an opportunity to accelerate the scope and pace of discovery in communication research. This article argues that CCS will profit from adopting open science practices by fostering the reusability of data and code. We discuss the goals and challenges re...
| Publicado en: | International Journal of Communication (19328036) Vol. 13; pp. 3935 - 3955 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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University of Southern California, USC Annenberg Press
2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=139171930&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 139171930 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 19328036 3836 jtl: International Journal of Communication (19328036) issn: 19328036 maglogo: N pubinfo: dt: 2019 vid: 13 pid: 16336 pub: University of Southern California, USC Annenberg Press artinfo: ui: 139171930 ppf: 3935 ppct: 20 formats: tig: atl: Toward Open Computational Communication Science: A Practical Road Map for Reusable Data and Code. aug: au: VAN ATTEVELDT, WOUTER STRYCHARZ, JOANNA TRILLING, DAMIAN WELBERS, KASPER affil: Vrije Universiteit Amsterdam, the Netherlands University of Amsterdam, the Netherlands su: Communication Workflow Tools Databases Reproducible research Computer software reusability sug: subj: Communication Industrial Design Services Hardware Stores Cutlery and hand tool manufacturing Saw Blade and Handtool Manufacturing Power-Driven Handtool Manufacturing Workflow Tools Databases Reproducible research Computer software reusability keyword: computational communication science open science reproducibility reusability workflow computational communication science open science reproducibility reusability workflow ab: Computational communication science (CCS) offers an opportunity to accelerate the scope and pace of discovery in communication research. This article argues that CCS will profit from adopting open science practices by fostering the reusability of data and code. We discuss the goals and challenges related to creating reusable data and code and offer practical guidance to individual researchers to achieve this. More specifically, we argue for integration of the research process into reusable workflows and recognition of tools and data as academic work. The challenges and road map are also critically discussed in terms of the additional burden they place on individual scholars, which culminates in a call to action for the field to support and incentivize the reusability of tools and data. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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