ALBERT

Description: The GEOMAR Library has started an institutional repository (http://oceanrep.geomar.de) in 2010 in order to provide open access to all scientific output of the GEOMAR institute. OceanRep is based on the software EPrints (Southampton). It is an open access digital collection containing the research output of GEOMAR staff and students. Included are journal articles, conference papers, book chapters, theses and more, - with fulltext, if available. A close cooperation with the data management team (DMT) was established to maintain and to develop new features for the repository. The DMT maintains an information and exchange portal (https://portal.geomar.de) for ongoing marine research projects at GEOMAR. The portal hosts public and internal websites of several projects, offers data sharing options and contains the Ocean Science Information System (OSIS), that organizes data description and data exchange of expeditions, numerical model and experiments. The crosslinking between OceanRep and OSIS, allows the linkage to data from a paper or the listing of all papers for instruments or platforms. Research data are published and archived at world data centre PANGAEA. The incentive for using the repositories is the publication guideline of the institute as well as services like automated publication lists (Views) for personal lists, research departments, projects, expeditions or model types. The data management system offers a reminder service for data according to project data policies. Both systems are used to enhance open access and visibility of research output according to good scientific practice.

Description: Project report. Die Ergebnisse des DFG-geförderten Projektes PubFlow werden präsentiert. PubFlow zielt darauf ab, Publikationsprozesse für Forschungs- daten von der Erhebung und der Verarbeitung bis hin zur Archivierung und Publikation zu unterstützen. Die exemplarische Implementierung von PubFlow orientiert sich an etablierten Arbeitsabläufen des Forschungsdatenmanagements in den Meereswissenschaften.

Description: Provides a summary of the Data Management Plan (DMP) addressing FAIR (findable, accessible, interoperable, re-usable) data, allocation of resources, data security and ethical aspects

Description: Provides a summary of the Data Management Plan (DMP) addressing FAIR (findable, accessible, interoperable, re-usable) data, allocation of resources, data security and ethical aspects

Description: In this workshop you will get an individual consultation with the GEOMAR librarian, Barbara Schmidt, and the GEOMAR data manager, Hela Mehrtens. Contents: - Make your publications and data more accessible while staying legal. - Learn about specific legal frameworks of the top journals in YOUR field for future publications. - Publication of data: When? Where? Why? How? - Address questions like "What does it mean to make my data open access?", "How to cite data?".

Description: The Kiel Data Management Infrastructure (KDMI) started from a cooperation of three large-scale projects (SFB574, SFB754 and Cluster of Excellence The Future Ocean) and the Leibniz Institute of Marine Sciences (IFM-GEOMAR). KDMI key features focus on the data provenance which we consider to comprise the entire workflow from field sampling or measurements through lab work to data calculation and evaluation. Managing the data of each individual project participant in this way yields the data management for the entire project and warrants the reusability of (meta)data. Accordingly scientists provide a workflow definition of their data creation procedures resulting in their target variables. The central idea in the development of the KDMI presented here is inspired by the object oriented programming concept which allows to have one object definition (workflow) and infinite numbers of object instances (data). Each definition is created by a graphical user interface and produces XML output stored in a database using a generic data model. On creation of a data instance the KDMI translates the definition into web forms for the scientist, the generic data model then accepts all information input following the given data provenance definition. An important aspect of the implementation phase is the possibility of a successive transition from daily measurement routines resulting in single spreadsheet files with well known points of failure and limited reusability to a central infrastructure as a single point of truth. An interim system allows users to upload and share data files from cruises and expeditions. It relates files to metadata such as where, when, what, who etc. As a proof of concept we use a 'truncated workflow' to migrate a selection of marine chemical data files and their structured metadata into the generic data model. A web application will allow data extraction for selectable parameters, time and geocoordinates. The availability of these widely used data is expected to motivate more scientists to design their own workflows for their upcoming work and their resulting data. This data provenance approach in terms of human workflows has several positive side effects: (1) the scientist designs the extend and timing of data and metadata prompts by workflow definitions while (2) consistency and completeness (mandatory information) of metadata in the resulting XML document can be checked by XML validation. (3) Storage of the entire data creation process (including raw data and processing steps) provides a multidimensional quality history accessible by all researchers in addition to the commonly applied one dimensional quality flag system and thus (4) improves the reuseability of the data. (5) The KDMI concept focuses on bringing data management infrastructure into the daily measurement routines instead of the final data management hassle at the end of each project. (6) The KDMI can be extended to other scientific disciplines or new scientific procedures by simply adding new workflow definitions. The data input can start from this point while domain specific outputs with the newly added data instances will be created by the KDM-Team. The KDMI follows scientists' requests for Web 2.0 like (net)working platforms but instead of sharing privacy or making friends it is all about sharing daily scientific work and data with project partners. For this purpose we have deployed a portal server (Liferay) where individual scientists are assigned to project communities and working groups or have their own working spaces. All these features are expected to raise the acceptance of the integrated data management applications and advance scientific collaboration.