Metadata Management in Scientific Computing
نویسندگان
چکیده
منابع مشابه
Metadata Management in Scientific Computing
Complex scientific codes and the datasets they generate are in need of a sophisticated categorization environment that allows the community to store, search, and enhance metadata in an open, dynamic system. Currently, data is often presented in a read-only format, distilled and curated by a select group of researchers. We envision a more open and dynamic system, where authors can publish their ...
متن کاملTowards Exascale Scientific Metadata Management
Advances in technology and computing hardware are enabling scientists from all areas of science to produce massive amounts of data using large-scale simulations or observational facilities. In this era of data deluge, effective coordination between the data production and the analysis phases hinges on the availability of metadata that describe the scientific datasets. Existing workflow engines ...
متن کاملSparse Cross-Products of Metadata in Scientific Simulation Management
Managing scientific data is by no means a trivial task even in a single site environment with a small number of researchers involved. We discuss some issues concerned with posing well-specified experiments in terms of parameters or instrument settings and the metadata framework that arises from doing so. We are particularly interested in parallel computer simulation experiments, where very larg...
متن کاملBloom Filter Based Metadata Placement And Management In Cloud Computing
As the data storage in this successful cloud era progress towards zeta bytes suitable query mapping structure for efficient data retrieval becomes a major issue. Metadata is an appropriate way to locate and identify the data from these huge storage servers as metadata file holds the information about a file stored in the cloud data servers in order to map the query to the exact location of the ...
متن کاملLinking Entities in Scientific Metadata
Linked entity data in metadata records builds a foundation for the Semantic Web. Even though metadata records contain rich entity data, there is no linking between associated entities such as persons, datasets, projects, publications, or organizations. We conducted a small experiment using the dataset collection from the Hubbard Brook Ecosystem Study (HBES), in which we converted the entities a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of Computational Science Education
سال: 2012
ISSN: 2153-4136
DOI: 10.22369/issn.2153-4136/3/2/4