What are scientific databases?
A scientific database is a computerized, organized collection of related data, which can be accessed for scientific inquiry and long-term stewardship.
What is data intensive research?
Data-intensive research can be characterized as the attempt to extract biological knowledge from the huge amounts of data produced through experiments and high-throughput technologies (e.g., new generation DNA sequencing) and disseminated through cyberinfrastructures (e.g., community databases and Bio-Ontologies).
What is the fourth paradigm of science and its most important characteristics?
More recently, big data has been called “the fourth paradigm” of science. Big data can be observed, at least by computers processing it and often by humans reviewing visualizations created from it. In the past, humans had to reduce the data, often with statistical processing, to be able to make sense of it.
What is the best scientific database?
The top list of academic research databases
- Scopus. Scopus is one of the two big commercial, bibliographic databases that cover scholarly literature from almost any discipline.
- Web of Science.
- PubMed.
- ERIC.
- IEEE Xplore.
- ScienceDirect.
- Directory of Open Access Journals (DOAJ)
- JSTOR.
Is PubMed a database?
PubMed is a free search engine accessing primarily the MEDLINE database of references and abstracts on life sciences and biomedical topics. The United States National Library of Medicine (NLM) at the National Institutes of Health maintain the database as part of the Entrez system of information retrieval.
What do you mean by data intensive computing?
Data-intensive computing is a class of parallel computing applications which use a data parallel approach to process large volumes of data typically terabytes or petabytes in size and typically referred to as big data.
Who imagined data science as a fourth paradigm?
Jim Gray
In The Fourth Paradigm: Data-Intensive Scientific Discovery, the collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science and offers insights into how it can be fully realized.
How does a research paradigm contribute to scientific development?
The scientific research paradigm helps to define scientific research philosophy. Literature on scientific research claims that the researcher must have a clear vision of paradigms or worldview which provides the researcher with philosophical, theoretical, instrumental, and methodological foundations.
How can I use Web of Science at home?
To access Web of Science remotely, users can use the direct URL https://www.webofknowledge.com and then enter their Web of Science personalization account details under “Sign In.” Note: Users must login from an IP authenticated machine or device at least once every twelve months to keep roaming active.
What database can be used in research?
The top list of academic research databases
- Scopus. Scopus is one of the two big commercial, bibliographic databases that cover scholarly literature from almost any discipline.
- Web of Science.
- PubMed.
- ERIC.
- IEEE Xplore.
- ScienceDirect.
- Directory of Open Access Journals (DOAJ)
- JSTOR.
Which is the best definition of data intensive science?
Data-intensive science especially in data-intensive computing is coming into the world that aims to provide the tools that we need to handle the Big Data problems. Data-intensive science [18] is emerging as the fourth scientific paradigm in terms of the previous three, namely empirical science, theoretical science and computational science.
How is Aneka used for data intensive applications?
Aneka offers two different facilities for storage management: a centralized file storage, which is mostly used for the execution of compute-intensive applications, and a distributed file system, which is more suitable for the execution of data-intensive applications. The requirements for the two types of applications are rather different.
Which is the fourth paradigm of data intensive science?
Data-intensive science [18] is emerging as the fourth scientific paradigm in terms of the previous three, namely empirical science, theoretical science and computational science. Thousand years ago, scientists describing the natural phenomenon only based on human empirical evidences, so we call the science at that time as empirical science.
How is big data related to e-Science?
Big Data has a deep relationship with e-Science [66], which is computationally intensive science which usually is implemented in distributed computing systems.