digital society #1

binary

binary

number system that uses 1s and 0s to convert logic statements into math statements

bit

a binary digit

byte

a group of binary digits (usually 8)

steganography

encoding a message into an image file

digital

signals with a finite set of values (a color palette)

analogue

signals with a continuous set of values (a spectrum)

digitization

changing analogue data into digital

digital preservation

process of keeping data accessible for future use regardless of technological changes

digitalization

use of digital systems to change an operation

data

collection of values that hold information

information

data that is processed and has context added to it

knowledge

meaning that is derived from information to achieve something

wisdom

application of knowledge

types of data can include…

financial, medical, geographical

metadata

data about data (the author, size of file)

data mining

process of finding similarities and differences within large sets of data

data matching

comparing two different sets of data to find connections

data life cycle

creation, storage, usage, preservation, destruction

primary data

data collected for a specific purpose

secondary data

data collected for a different purpose

relational database

database with more than one table

validation

making sure only valid data can be entered

verification

making sure the right data is entered

data visualization

process of converting data into visuals

big data

the corporations that hold huge amounts of data

datum

individual value in a collection of data

octal

base 8

hexadecimal

base 16

encryption

process of converting readable data to unreadable data

SSL

Secure Socket Layer - protocol to send information through encrypted links

symmetric key encryption

key to encode and decode data is the same

public key (asymmetric) encryption

key to encode and decode data are different

TLS

transport layer security - improved version of SSL

data masking

process of replacing data with fake data to anonymize it

blockchain

digital ledger of transactions that is duplicated and distributed over a network

why are blockchains reliable

every transaction is recorded, as more transactions are recorded the strength of the blockchain increases

data reliability

how complete and accurate the data is

data integrity

how trustworthy the data is

GDPR

general data protection regulation - data laws for the EU

different types of power

coercive, reward, legitimate, expert, respect, information