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Growing Open Science with the Combined Potential of Citizen Science and Auto Science
[Konferenzbeitrag]
Dieser Sammelwerksbeitrag gehört zu folgendem Sammelwerk:
Proceedings of the Weizenbaum Conference 2019 "Challenges of Digital Inequality - Digital Education, Digital Work, Digital Life"
Abstract In this paper, we present our ideas on how to best support researchers in every phase of the research process when dealing with their research data. We propose a Research Data Portal as the central data infrastructure. With the help of this portal, a researcher can easily manage and update his or he... mehr
In this paper, we present our ideas on how to best support researchers in every phase of the research process when dealing with their research data. We propose a Research Data Portal as the central data infrastructure. With the help of this portal, a researcher can easily manage and update his or her research data, share it with collaborators, and reach out to the public. We further propose a Citizen Science Portal, which includes some new and innovative concepts and methods. In this portal, Citizen Science and Auto Science concepts are applied, and support to bring together the best of both worlds is provided. Citizen Science promises to entail the individual (scientists and hobby scientists) to help with research. Auto Science is meant to help analyze research data, e.g., to help publish the data and to help improve its quality, by applying methods from artificial intelligence.... weniger
Klassifikation
Wissenschaftssoziologie, Wissenschaftsforschung, Technikforschung, Techniksoziologie
Freie Schlagwörter
Research Data; Open Science; Citizen Science; Auto Science; Weizenbaum-Institut; Weizenbaum Institute
Titel Sammelwerk, Herausgeber- oder Konferenzband
Proceedings of the Weizenbaum Conference 2019 "Challenges of Digital Inequality - Digital Education, Digital Work, Digital Life"
Konferenz
2. Weizenbaum Conference. Berlin, 2019
Sprache Dokument
Englisch
Publikationsjahr
2019
Erscheinungsort
Berlin
Status
Erstveröffentlichung; begutachtet (peer reviewed)
Lizenz
Creative Commons - Namensnennung 4.0
FörderungDiese Arbeit wurde durch das Bundesministerium für Bildung und Forschung (BMBF) gefördert (Förderkennzeichen: 16DII113, 16DII117 - "Deutsches Internet-Institut"). / This work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII113, 16DII117 - "Deutsches Internet-Institut").