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Collaborative platforms for streamlining workflows in Open Science

Please always quote using this URN: urn:nbn:de:bvb:20-opus-101678
  • Despite the internet's dynamic and collaborative nature, scientists continue to produce grant proposals, lab notebooks, data files, conclusions etc. that stay in static formats or are not published online and therefore not always easily accessible to the interested public. Because of limited adoption of tools that seamlessly integrate all aspects of a research project (conception, data generation, data evaluation, peerreviewing and publishing of conclusions), much effort is later spent on reproducing or reformatting individual entities beforeDespite the internet's dynamic and collaborative nature, scientists continue to produce grant proposals, lab notebooks, data files, conclusions etc. that stay in static formats or are not published online and therefore not always easily accessible to the interested public. Because of limited adoption of tools that seamlessly integrate all aspects of a research project (conception, data generation, data evaluation, peerreviewing and publishing of conclusions), much effort is later spent on reproducing or reformatting individual entities before they can be repurposed independently or as parts of articles. We propose that workflows - performed both individually and collaboratively - could potentially become more efficient if all steps of the research cycle were coherently represented online and the underlying data were formatted, annotated and licensed for reuse. Such a system would accelerate the process of taking projects from conception to publication stages and allow for continuous updating of the data sets and their interpretation as well as their integration into other independent projects. A major advantage of such work ows is the increased transparency, both with respect to the scientific process as to the contribution of each participant. The latter point is important from a perspective of motivation, as it enables the allocation of reputation, which creates incentives for scientists to contribute to projects. Such work ow platforms offering possibilities to fine-tune the accessibility of their content could gradually pave the path from the current static mode of research presentation into a more coherent practice of open science.show moreshow less

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Metadaten
Author: Konrad FörstnerORCiDGND, Gregor Hagedorn, Claudia Koltzenburg, Fabiana Kubke, Daniel Mietchen
URN:urn:nbn:de:bvb:20-opus-101678
Document Type:Conference Proceeding
Faculties:Medizinische Fakultät / Institut für Molekulare Infektionsbiologie
Language:English
Parent Title (English):Proceedings of the 6th Open Knowledge Conference
Year of Completion:2011
Source:Proceedings of the 6th Open Knowledge Conference, Berlin, Germany, June 30 & July 1, 2011
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke
Tag:Open Science; Virtual Research Environment; automation; collaboratories; workflow platform
Release Date:2014/09/01
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung