Publication Workflows for Scientific Data: From Acquisition and Processing toward Archival and Publication

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Objective of the second phase is to extend the approach and the pilot application for a workflow-based semi-automatic publication framework of the first phase, and to apply it in additional application domains. In the first phase, our primary application domain was marine science. In the second phase, we intend to extend our application domain toward life science. For extending our application domain toward life science, we will collaborate with the ¿Zentrum für Molekulare Biowissenschaften (ZMB)¿ at CAU Kiel and the ¿Institut für Klinische Molekularbiologie (IKMB)¿ at CAU Kiel to elaborate and apply the proven approach from marine science on workflows in genomics. Applying the PubFlow system in another application domain (here: life science) also serves to test the flexibility of the PubFlow architecture. Furthermore, we intend to extend the existing pilot application with additional steps in the life cycle of datasets. Besides extending the existing workflows, we intend to collaborate with the world data center MARE (PANGAEA) on supporting and evaluating semi-automatic workflow support for data curation processes. In particular, we intend to devise, implement and evaluate new approaches to provenience data acquisition in order to allow for retracing and verifying the life cycle of datasets. New methods and techniques for provenience data exchange are required. Through establishing new librarian services for research data, the university library will take a responsible role as a full partner in PubFlow. The intended work on establishing new librarian services for research data are based on ideas that arose during the first project phase with the project partners and the advisory board. For assuring the rules of good scientific practice, verifying the provenience of research data may play a crucial role. Thus, we intend to extend and evaluate our previous work on workflow-generated provenience data. With the ¿Leibniz Information Centre for Economics¿ (ZBW) as associated partner, we intend to investigate approaches of linked data to link primary research data with provenience information. For the dissemination of our research results, we again plan annual PubFlow workshops.