Envisioning data sharing for the biocomputing community
Author(s) -
Enrico Riccardi,
Sergio Pantano,
Raffaello Potestio
Publication year - 2019
Publication title -
interface focus
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 49
eISSN - 2042-8901
pISSN - 2042-8898
DOI - 10.1098/rsfs.2019.0005
Subject(s) - computer science , data science , big data , data sharing , key (lock) , scientific discovery , open science , data curation , open data , power (physics) , world wide web , computer security , data mining , quantum mechanics , medicine , psychology , physics , alternative medicine , pathology , astronomy , cognitive science
The scientific community is facing a revolution in several aspects of itsmodus operandi , ranging from the way science is done—data production, collection, analysis—to the way it is communicated and made available to the public, be that an academic audience or a general one. These changes have been largely determined by two key players: thebig data revolution or, less triumphantly, the impressive increase in computational power and data storage capacity; and the accelerating paradigm switch in science publication, with people and policies increasingly pushing towards open access frameworks. All these factors prompt the undertaking of initiatives oriented to maximize the effectiveness of the computational efforts carried out worldwide. Taking the moves from these observations, we here propose a coordinated initiative, focusing on the computational biophysics and biochemistry community but general and flexible in its defining characteristics, which aims at addressing the growing necessity of collecting, rationalizing, sharing and exploiting the data produced in this scientific environment.
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