1. Explain the following recordkeeping related control terms: · Metadata - XXXXXXXXXXwords) · Classification - XXXXXXXXXXwords) · Tracking - XXXXXXXXXXwords 2. Explain the concept of a...

Running Head: RECORD KEEPING        1
RECORD KEEPING         2
RECORD KEEPING
Table of Contents
Q1.    3
Metadata:    3
Classification:    3
Tracking:    3
Q2.    4
Q3.    5
Q4.    6
Q5.    7
References    8
Q1.The definitions of the following recordkeeping related control terms are:
Metadata: Metadata is defined to be a set of data that provides information about other data. In other words, Metadata is also defined as “data about data”. Various organizations use metadata to keep structured records of other data in a proper place. There are several kinds of metadata that includes descriptive metadata, structural metadata, administrative metadata, reference metadata and statistical metadata. Based on the requirement of the situation, various metadata are used by the organizations (VishwaVidyapeetham, 2018). Some of the advantages of having metadata are to keep a well-organized data with proper security and governance. This kind of data can be created both manually and by machine automated systems. Automated metadata is more elementary in nature and displays various information such as file size, extension etc.
Classification: Classification of data is often termed to be the process of segmentation based on the level of sensitivity. It is the process where the data is being classified and divided for future benefits. There are four classifications of data, which includes public, internal-only, confidential and restricted. The main aim of this process is to simplify data by grouping and to club them into various heads and subheads so that the process of data mining and analysis of the data becomes easier. On a very primary level, the classification allows the user to locate and retrieve data more quickly and efficiently (McKemmish, 2017).
Tracking: It is described to be the use of the hardware and software systems, which are used to search the data at any given point of time. Through the hardware and software mechanisms, all the data can be tracked based on their relevance. On a broader spectrum data tracking allows more efficient use of the data storage system. Data is collected by various websites and other portals over the internet and even in a manual environment (Lemieux, 2017). Data tracking is based on analyzing and promoting whenever stored data in the system is used more than once. A prevalent example of this can be the auto-fill system and online advertising.
Q2.Function-based Classification Tool is a tool that helps in dissecting the data and information based on its functions of the institutions. This tool helps in arranging and dividing the...