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Research Data Management in the Lab
Get PDFResearch, especially in science, is increasingly data-driven (Hey & Trefethen, 2003). The obvious type of research data is raw data produced by experiments (by means of sensors and other lab equipment). However, other types of data are highly relevant as well: calibration and configuration settings, analyzed and aggregated data, data generated by simulations. Today, nearly all of this data is born-digital. Based on the recommendations for "good scientific practice", researchers are required to keep their data for a long time. In Germany, DFG demands 8-10 years for published results (Deutsche Forschungsgemeinschaft, 1998). Ideally, data should not only be kept and made accessible upon request, but be published as well - either as part of the publication proper, or as references to data sets stored in dedicated data repositories. Another emerging trend are data publication journals, e.g. the Earth System Science Data Journal (http://www.earth-system-science-data.net/). In contrast to these high-level requirements, many research institutes still lack a well-established and structured data management. Extremely data-intense disciplines like high-energy physics or climate research have built powerful grid infrastructures, which they provide to their respective communities. But for most "small sciences", such complex and highly specialized compute and storage infrastructures are missing and may not even be adequate. Consequently, the burden of setting up a data management infrastructure and of establishing and enforcing data curation policies lie with each institute or university. The ANDS project has shown that this approach is even preferable over a central (e.g., national or discipline-specific) data repository (The ANDS Technical Working Group, 2007). However, delegating the task of proper data curation to the head of a department or a working group adds a huge workload to their daily work. At the same time, they typically have little training and experience in data acquisition and cataloging. The library has expertise in cataloging and describing textual publications with metadata, but typically lacks the disciplinespecific knowledge needed to assess the data objects in their semantic meaning and importance. Trying to link raw data with calibration and configuration data at the end of a project is challenging or impossible, even for dedicated "data curators" and researchers themselves. Consequently, researchers focus on their (mostly textual) publications and have no established procedures on how to cope with data objects after the end of a project or a publication (Helly, Staudigel, & Koppers, 2003). This dilemma can be resolved by acquiring and storing the data automatically at the earliest convenience, i.e. during the course of an experiment. Only at this point in time, all the contextual information is available, which can be used to generate additional metadata. Deploying a data infrastructure to store and maintain the data in a generic way helps to enforce organization-wide data curation policies. Here, repository systems like Fedora (http://www.fedora-commons.org/) (Lagoze, Payette, Shin, & Wilper, 2005) or eSciDoc (https://www.escidoc.org/) (Dreyer, Bulatovic, Tschida, & Razum, 2007) come into play. However, an organization-wide data management has only a limited added-value for the researcher in the lab. Thus, the data acquisition should take place in a non-invasive manner, so that it doesn't interfere with the established work processes of researchers and thus poses a minimal threshold to the scientist
Forschungsdatenmanagement am Center for Biotechnology, CeBiTec: Bioinformatics Resource Facility, BRF
No full textCuration Micro-Services: A Pipeline Metaphor for Repositories
Get PDFThe effective long-term curation of digital content requires expert analysis, policy setting, and decision making, and a robust technical infrastructure that can effect and enforce curation policies and implement appropriate curation activities. Since the number, size, and diversity of content under curation management will undoubtedly continue to grow over time, and the state of curation understanding and best practices relative to that content will undergo a similar constant evolution, one of the overarching design goals of a sustainable curation infrastructure is flexibility. In order to provide the necessary flexibility of deployment and configuration in the face of potentially disruptive changes in technology, institutional mission, and user expectation, a useful design metaphor is provided by the Unix pipeline, in which complex behavior is an emergent property of the coordinated action of a number of simple independent components. The decomposition of repository function into a highly granular and orthogonal set of independent but interoperable micro-services is consistent with the principles of prudent engineering practice. Since each micro-service is small and self-contained, they are individually more robust and collectively easier to implement and maintain. By being freely interoperable in various strategic combinations, any number of micro-services-based repositories can be easily constructed to meet specific administrative or technical needs. Importantly, since these repositories are purposefully built from policy neutral and protocol and platform independent components to provide the function minimally necessary for a specific context, they are not constrained to conform to an infrastructural monoculture of prepackaged repository solutions. The University of California Curation Center has developed an open source micro-services infrastructure that is being used to manage the diverse digital collections of the ten campus University system and a number of non-university content partners. This paper provides a review of the conceptual design and technical implementation of this micro-services environment, a case study of initial deployment, and a look at ongoing micro-services developments
Hydra: A Technical and Community Framework For Customized, Reusable, Repository Solutions
Get PDFWhile repositories provide obvious benefits in hosting and managing content, it is equally clear that there is no "one size fits all" solution to the range of digital asset management needs at a typical institution, much less across institutions. A system that supports the submission, approval and dissemination of electronic theses and dissertations, for example, has demonstrably different requirements than a digitization workflow solution, an e-science data repository, or media preservation and access system.
There is a clear need in the repository community to readily develop and deploy content-, domain-, and institution-specific solutions that integrate the flexibility and richness of customized applications and workflows with the underlying power of repositories for content management, access and preservation.
Hydra is a multi-institutional, multi-functional, multi-purpose framework that addresses this need on twin fronts. As a technical framework, it provides a toolkit of reusable components that can be combined and configured in different arrays to meet a diversity of content management needs. As a community framework, Hydra provides like-minded institutions with the mechanism to combine their individual development efforts, resources and priorities into a collective solution with breadth and depth that exceeds the capacity of any single institution to create, maintain or enhance on its own
Reinventing Teaching and Learning Repositories
Get PDFThrough the Faroes and OneShare projects the EdShare team have developed an innovative approach to teaching and learning repositories, learning from the best practices of Web 2.0 and re-imagining these repositories from the ground up as living sites, whether for a community or an institution. Many existing teaching and learning repositories base themselves closely on the research repository model, but research repositories are about Archiving, and ordinary practitioners rarely want to archive their teaching materials
Research reporting using Eprints at The University of Northampton
Get PDFEach year The University of Northampton research administrators produce an "Annual Research Report" for each of the university's six Schools. Before 2007, and in the absence of any centralised research database, research details were simply collated and word-processed into one-off documents. NECTAR provided the opportunity to store bibliographic details in a systematic manner and the potential to re-use these data for research reporting
Using DSpace for Publishing Electronic Theses and Dissertations
Get PDFThe IUScholarWorks Repository is a DSpace-based institutional repository for the dissemination and preservation of Indiana University's scholarly output. Some time ago, our team made a decision to incorporate electronic theses and dissertations (ETD's) into our DSpace repository, and this created several technical challenges for us. Getting ETD's into DSpace is a challenge that a number of institutions have tackled recently, and several innovative solutions have been found, such as Vireo, the ETD submission management tool from the Texas Digital Library. However, we were faced with a number of requirements in our ETD workflow that had not yet been encountered by other institutions, and required some interesting solutions. In this proposal, we will provide an outline for a presentation that will discuss these challenges, and the solutions that were envisioned. We will also provide an update on our current progress towards implementing our plans, and discuss the future work that is left to be done
A service-oriented national e-theses information system and repository
Get PDFIntroduction
In this article we present an overview of the information technology infrastructure that supports the operation of the Greek National Archive of Doctoral Theses (HEDI). The infrastructure, which has been recently re-developed replacing a legacy system, makes use of repository software, in particular the DSpace platform, as part of a service-oriented information system based on open source components
Authority framework in 1.6 and CILEA's customization for the Hong Kong University
Get PDFUniversities and researcher centers are rethinking their communication strategies, highlighting the quality of their research output and the profiles of their best researchers. Listing publications from an Expert Finder system may represent a solution. But providing an Expert Finder system within an IR is a more innovative approach. This idea was developed by the University of Hong Kong Libraries and applied to their IR, HKU Scholars Hub at http://hub.hku.hk/, powered by DSpace. This presentation shows how the HKU requirements were implemented by CILEA in the context of the ResearcherPage@HKU project. Using the new authority control framework by Larry Stone, introduced in DSpace 1.6.0, an Expert Finder system can be nicely integrated with DSpace but kept technically separated. Its components can evolve separately and are easier and cheaper to maintain. The author (Bollini) has contributed in porting the authority control framework, originally implemented for the XMLUI, to the JSPUI, and extending its architecture to support browse and search variants