Information Technology Reference
In-Depth Information
• Exponential growth of data volume produced by different research
instruments or collected from sensors
• Need to consolidate e-infrastructures as persistent research platforms
to ensure research continuity and cross-disciplinary collaboration,
deliver/offer persistent services, with an adequate governance model
The recent advancements in the general computer and big data technolo-
gies facilitate the paradigm change in modern e-science that is characterized
by the following features:
• Automation of all e-science processes, including data collection,
storing, classification, indexing, and other components of the general
data curation and provenance
• Transformation of all processes, events, and products into digital form
by means of multidimensional, multifaceted measurements, moni-
toring, and control; digitizing existing artifacts and other content
• Possibility of reusing the initial and published research data with
possible data repurposing for secondary research
• Global data availability and access over the network for a cooperative
group of researchers, including wide public access to scientific data
• Existence of necessary infrastructure components and management
tools that allow fast infrastructures and services composition, adap-
tation and provisioning on demand for specific research projects
and tasks
• Advanced security and access control technologies that ensure
secure operation of the complex research infrastructures and scien-
tific instruments and allow creating a trusted secure environment
for cooperating groups and individual researchers
The future SDI should support the whole data life cycle and explore the
benefit of data storage/preservation, aggregation, and provenance on a large
scale and during long or unlimited periods of time. It is important that this
infrastructure ensure data security (integrity, confidentiality, availability,
and accountability) and data ownership protection. With current needs to
process big data that require powerful computation, there should be a pos-
sibility of enforcing data/data set policy so that they can be processed on
trusted systems or comply with other requirements. Researchers must trust
the SDI to process their data on SDI facilities and be assured that their stored
research data are protected from nonauthorized access. Privacy issues also
arise from the distributed remote character of SDI, which can span multiple
countries with different local policies. This should be provided by the cor-
responding access control and accounting infrastructure (ACAI), which is an
important component of SDI [20, 22].
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