TY - JOUR A1 - Mietchen, Daniel A1 - Hagedorn, Gregor A1 - Förstner, Konrad U. A1 - Kubke, M Fabiana A1 - Koltzenburg, Claudia A1 - Hahnel, Mark J. A1 - Penev, Lyubomir T1 - Wikis in scholarly publishing N2 - Scientific research is a process concerned with the creation, collective accumulation, contextualization, updating and maintenance of knowledge. Wikis provide an environment that allows to collectively accumulate, contextualize, update and maintain knowledge in a coherent and transparent fashion. Here, we examine the potential of wikis as platforms for scholarly publishing. In the hope to stimulate further discussion, the article itself was drafted on Species-ID – a wiki that hosts a prototype for wiki-based scholarly publishing – where it can be updated, expanded or otherwise improved. KW - Elektronisches Publizieren KW - wikis KW - scientific publishing KW - scholarly publishing KW - reputation KW - version control Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-87770 ER - TY - CHAP A1 - Förstner, Konrad A1 - Hagedorn, Gregor A1 - Koltzenburg, Claudia A1 - Kubke, Fabiana A1 - Mietchen, Daniel T1 - Collaborative platforms for streamlining workflows in Open Science T2 - Proceedings of the 6th Open Knowledge Conference N2 - 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 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. KW - Open Science KW - Virtual Research Environment KW - collaboratories KW - workflow platform KW - automation Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-101678 ER -