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Growing Open Science with the Combined Potential of Citizen Science and Auto Science

[conference paper]


This document is a part of the following document:
Proceedings of the Weizenbaum Conference 2019 "Challenges of Digital Inequality - Digital Education, Digital Work, Digital Life"

Schimmler, Sonja
Kirstein, Fabian
Urbanek, Sebastian
Wünsche, Hannes
Hauswirth, Manfred

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... view more

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.... view less

Classification
Sociology of Science, Sociology of Technology, Research on Science and Technology

Free Keywords
Research Data; Open Science; Citizen Science; Auto Science; Weizenbaum-Institut; Weizenbaum Institute

Collection Title
Proceedings of the Weizenbaum Conference 2019 "Challenges of Digital Inequality - Digital Education, Digital Work, Digital Life"

Conference
2. Weizenbaum Conference. Berlin, 2019

Document language
English

Publication Year
2019

City
Berlin

Status
Primary Publication; peer reviewed

Licence
Creative Commons - Attribution 4.0

FundingDiese 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").


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.