Data Acquisition, Analysis and Curation

The process of sampling signals that measure real-world physical conditions and translating the samples into digital numeric values that may be controlled by a computer is known as data acquisition. DAS, DAQ, and DAU are acronyms for data acquisition systems, which transform analogy waveforms into digital values for processing. Software programs written in Assembly, BASIC, C, C++, C#, Fortran, Java, LabVIEW, Lisp, Pascal, and other general-purpose programming languages are typically used to control data acquisition applications. Data loggers are self-contained data collecting systems. There are also open-source software packages that include all of the tools needed to collect data from various, generally specialized hardware. These technologies are derived from the scientific world, where complicated experiments necessitate quick, adaptable software.

The organizing and integration of data acquired from multiple sources is known as data curation. It entails annotating, publishing, and presenting data in such a way that the data's value is preserved throughout time and the data is available for reuse and preservation. All of the activities required for principled and regulated data generation, maintenance, and management, as well as the ability to add value to data, are included in data curation. Data curation is a term used in science to describe the process of extracting relevant information from scientific writings, such as research articles written by specialists, and converting it to an electronic format, such as a biological database entry. Data curation has grown more important in the modern era of big data, especially for software that processes large amounts of data and complicated systems.