The extended metadata schema of the VRE soeb3 (original) (raw)
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S Gesing/J. Krüger (Eds.), Proceedings of the 8th International Workshop on Science Gateways (IWSG 2016). Rome, Italy, June 8-10, 2016. – Nowadays, the daily work of many research communities is characterized by an increasing amount and complexity of data. This makes it increasingly difficult to manage, access and utilize to ultimately gain scientific insights based on it. At the same time, domain scientists want to focus on their science instead of IT. The solution is research data management in order to store data in a structured way to enable easy discovery for future reference. An integral part is the use of metadata. With it, data becomes accessible by its content instead of only its name and location. The use of metadata shall be as automatic and seamless as possible in order to foster a high usability. Here we present the architecture and initial steps of the MASi project with its aim to build a comprehensive research data management service. First, it extends the existing KIT Data Manager framework by a generic programming interface and by a generic graphical web interface. Advanced additional features includes the integration of provenance metadata and persistent identifiers. The MASi service aims at being easily adaptable for arbitrary communities with limited effort. The requirements for the initial use cases within geography, chemistry and digital humanities are elucidated. The MASi research data management service is currently being built up to satisfy these complex and varying requirements in an efficient way.
Data Science Journal, 2019
The sharing of research data allows for information reuse and knowledge advancement but its realization is often a challenge and seldom successful in practice. We propose a workflow for the design of a User Support System (USS) aimed at tutoring research groups in data sharing by considering their social and domain backgrounds. Our engagement approach focuses on multidisciplinary geospatial research, particularly when interoperable data sharing is required. Specifically, we first characterize the research community on the basis of the behavior and competences in data management by its groups and then target the needs of the latter with specific facilities. We address for the first time in literature the issue of modeling research groups as targets of the USS and provide a roadmap to standardize USS activities across different communities. We describe the implementation of the workflow in the context of an Italian research project and we assess the impact of the USS in terms of increase in the number of nodes and resources in the project's data infrastructure, and of fulfilment of the expectations by the research groups.
E-Infrastructures for Research Collaboration
Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing
Collaborative research practices are a highly interesting domain for CSCW. So far, CSCW has mainly focused on computation-and/or data-intensive research endeavors. Here, resources are typically pooled via common e-infrastructures for data access and processing, a setup requiring additional layers of coordination. Such a focus largely foregrounds the sciences and other fields that rely on highly structured (or structure-able) data and the routinized processes of analysis. In contrast, in this one-day workshop we discuss the conditions and challenges characteristic of research collaboration in the qualitative social sciences and humanities (SSH). In particular, we examine the sociotechnical infrastructures that enable and support research practices that-in comparison with the collaborative paradigm of the natural sciences-tend to be less structured, compartmentalized, and routinized, but more fluid, flexible, and open-ended. The workshop seeks to collect empirical insights and design experiences, preparing the grounds for a comprehensive understanding of the role of einfrastructures for collaborative research practices in SSH.
2007
Abstract. This paper presents the first results of a survey and case study analysis of early adopters of e-Infrastructure across the world, focusing on continental Europe, the UK and the USA. Information was gathered on a number of possible influences on the adoption and level of usage of e-Infrastructure in the social sciences and humanities, and comparisons are made by region. We find that the most important influences affecting whether and where e-Infrastructure is adopted in these disciplines is the availability of the necessary qualified staff and of the required funding are the most important influences on whether and where e-Infrastructure. There are indications that adoption could be accelerated were the most eminent scientists from the social sciences and humanities to more widely promote the benefits to research of e-Infrastructure adoption to their colleagues in the discipline. Last but not least, we see different types of projects in continental Europe, the UK and the US.
Internet Research, 1995
The "collaboratory" concept has recently entered the vernacular of the scientific community to reflect new modes of scientific communication, cooperation and collaboration made possible by information technology. The collaboratory represents a scientific research center "without walls" for accessing and sharing data, information, instrumentation and computational resources. The principal applications of the collaboratory concept have been in the physical and biological sciences, including space physics, oceanography and molecular biology. Discusses the attributes of the collaboratory, and applies the concept developed by computer and physical scientists to the design and operation of the SIPP ACCESS prototype information system for complex data to be used through the Internet by sociologists, demographers and economists. Examines obstacles to collaboratory development for the social sciences. Concludes that four major obstacles will inhibit the development of collaboratories in the social sciences.
On 21 September 2007, the European Science Foundation (ESF) and the German Research Foundation (DFG) organised a one-day workshop “Shared responsibilities in sharing research data”. The workshop was held in the frame of the 5th follow-up conference of the Berlin Declaration on Open Access which took place at the University of Padua (Italy). The Berlin Declaration on Open Access, signed by many European research organisations, has triggered a wide range of efforts and initiatives to facilitate access to research publications. Yet the Berlin Declaration on Open Access goes beyond scientific publications. It covers also “ .... raw data and metadata, source materials, digital representations of pictorial and graphical materials and scholarly multimedia material”. It is against a background of growing consensus that enabling access to research data is an equally important task, and that a shared vision and sense of responsibility is needed among the stakeholders to make “open data” a reality, that this workshop was organised. The objectives of the workshop were: • to acquaint research organisations in Europe (primarily ESF member organisations) with on-going and planned initiatives for open access to research data; • to present and discuss policies and practices on open access to research data of selected research funding organisations; • to identify areas in which research organisations could collaborate on this issue. The speakers, coming from the scientific community, funding organisations, data centres, and universities, met an equally diverse audience in a lively debate about the tasks which need to be undertaken and the challenges to be addressed in order to secure research data for the future generations of researchers.