Sustainability of Linguistic Data and Analysis in the Context of a Collaborative eScience Environment
8309Authors
nan
Abstract
AbstractFor researchers, it is especially important that primary research data are preserved and made available on a long-term basis and to a wide variety of researchers. In order to ensure long-term availability of the archived data, it is imperative that the data to be stored is conformant with standardized data formats and best practices followed by the relevant research communities. Storing, managing, and accessing such standard-conformant data requires a repository-based infrastructure. Two projects at the University of Tübingen are realizing a collaborative eScience research environment with the help of eSciDoc for the university that supports long-term preservation of all kinds of data as well as a fine-grained and contextualized data management: the INF project and the BW-eSci(T) project. The task of the infrastructure (INF) project within the collaborative research centre âEmergence of Meaning (SFB 833) is to guarantee the long-term availability of the SFBs data. BW-eSci(T) is a joint project of the University of Tübingen and the Fachinformationszentrums (FIZ) Karlsruhe. The goal of this project is to develop a prototypical eScience research environment for the University of Tübingen.
Keywords
Full Content
nan
Labeled Text
AbstractFor researchers, it is especially important that primary research data are preserved and made available on a long-term basis and to a wide variety of researchers. In order to ensure long-term availability of the archived data, it is imperative that the data to be stored is conformant with standardized data formats and best practices followed by the relevant research communities. Storing, managing, and accessing such standard-conformant data requires a repository-based infrastructure. Two projects at the University of Tübingen are realizing a collaborative eScience research environment with the help of eSciDoc for the university that supports long-term preservation of all kinds of data as well as a fine-grained and contextualized data management: the INF project and the BW-eSci(T) project. The task of the infrastructure (INF) project within the collaborative research centre âEmergence of Meaning (SFB 833) is to guarantee the long-term availability of the SFBs data. BW-eSci(T) is a joint project of the University of Tübingen and the Fachinformationszentrums (FIZ) Karlsruhe. The goal of this project is to develop a prototypical eScience research environment for the University of Tübingen.
Publication Details
- Paper ID:
- 8309
- Year:
- 2010
- Publication:
- TIPSTER
- Publication Type:
- conf
- DOI:
- nan