You are presented with multiple paper abstracts, alongside the associated literature review and chapter titles. Given the provided information, you are going to do a literature review. Please generate a coherent literature review that synthesizes the content, draws connections between different works, highlights major findings, and identifies any gaps in the existing research.

Literature Review Title: A Review on Business Intelligence and Big Data 
Chapter Title:  Scientific Research Data 
1. Abstract of Cited Paper (BIB001):  Building on the legacy of the Sloan Digital Sky Survey (SDSS-I and II), SDSS-III is a program of four spectroscopic surveys on three scientific themes: dark energy and cosmological parameters, the history and structure of the Milky Way, and the population of giant planets around other stars. In keeping with SDSS tradition, SDSS-III will provide regular public releases of all its data, beginning with SDSS DR8 (which occurred in Jan 2011). This paper presents an overview of the four SDSS-III surveys. BOSS will measure redshifts of 1.5 million massive galaxies and Lya forest spectra of 150,000 quasars, using the BAO feature of large scale structure to obtain percent-level determinations of the distance scale and Hubble expansion rate at z 100 per resolution element), H-band (1.51-1.70 micron) spectra of 10^5 evolved, late-type stars, measuring separate abundances for ~15 elements per star and creating the first high-precision spectroscopic survey of all Galactic stellar populations (bulge, bar, disks, halo) with a uniform set of stellar tracers and spectral diagnostics. MARVELS will monitor radial velocities of more than 8000 FGK stars with the sensitivity and cadence (10-40 m/s, ~24 visits per star) needed to detect giant planets with periods up to two years, providing an unprecedented data set for understanding the formation and dynamical evolution of giant planet systems. (Abridged)

Literature Review:
Scientific research domain is affected by big data phenomenon including particle physics, astronomy, bioinformatics, earth sciences, social simulations, medicine, genomics, biology, biogeochemistry, atmospheric-science, etc. In particle physics, sufficient computing power is needed for analysis of results and storage of data produced by the European Organization for Nuclear Research (CERN) Large Hadron Collider, which has started to generate data since 2009 and produced 13 petabytes of data in 2010 BIB001 . In astronomy, by taking pictures of thesky the scientists try to virtualize space and mostly work in this virtual space rather than real one BIB002 . In social science, big data is needed for analyzing, processing and storing of social and behavioral data.