作者: Daniel Harężlak , Marek Kasztelnik , Maciej Pawlik , Bartosz Wilk , Marian Bubak
DOI: 10.1007/978-3-319-10894-0_12
关键词:
摘要: Scientific computation is a source of many large data sets, which are often structured in non-interoperable manner. Data and metadata stored on computing infrastructures or local computers databases files. The discoverability verifiability published results represented by such poorly established. It also difficult to manage access applying permission granting mechanisms the available file systems databases. Moreover, accessibility from external limited security restrictions imposed storage facilities. In this paper we present novel method for managing scientific data, addressing aforementioned issues providing ai¾źweb-based model management interface, supports design structures their relation files, exposing REST-based repositories recording easy level configuration limit visibility during publication process. implemented DataNet tools exploits one PaaS platforms. We typical use case scenario provide an evaluation deployment PL-Grid Infrastructure.