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

第二阶段的目标是扩展第一阶段的基于工作流的半自动出版框架的方法和试点应用，并将其应用于其他应用领域。在第一阶段，我们的主要应用领域是海洋科学。在第二阶段，我们打算将我们的应用领域扩展到生命科学。为了将我们的应用领域扩展到生命科学，我们将与CAU基尔的和CAU基尔的合作，阐述和应用海洋科学在基因组学工作流程上的成熟方法。将PubFlow系统应用于另一个应用领域（这里是生命科学）也可以测试PubFlow架构的灵活性。此外，我们打算在数据集的生命周期中增加额外的步骤，以扩展现有的试点应用程序。除了扩展现有的工作流程外，我们还打算与世界数据中心MARE（PANGAEA）合作，支持和评估数据管理流程的半自动工作流程支持。特别是，我们打算设计，实施和评估新的方法来出处数据采集，以允许追溯和验证数据集的生命周期。需要有新的方法和技术来交换出处数据。通过为研究数据建立新的图书馆员服务，大学图书馆将作为PubFlow的全面合作伙伴承担责任。为研究数据建立新的图书管理员服务的计划工作是基于在项目第一阶段与项目伙伴和咨询委员会提出的想法。为了确保良好的科学实践的规则，验证研究数据的出处可能发挥至关重要的作用。因此，我们打算扩展和评估我们以前的工作流生成的出处数据。随着莱布尼茨经济信息中心（ZBW）作为合作伙伴，我们打算研究关联数据的方法，将原始研究数据与出处信息联系起来。为了传播我们的研究成果，我们再次计划年度PubFlow研讨会。

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.