Question

Some of the tools you have used in the lab work are used for analyzing data, evidence and metadata during a digital forensic investigation. Choose all that is right about data, evidence and metadata in digital forensic analysis. data is not necessarily an evidence, but an evidence is data. examining metadata creates a large volume of data. metadata such as who created a file, file creation date and file modification times should not be documented. data is a collection of facts from which you can draw conclusions. disk partition structures and file tables are examples of metadata. evidence is a collection of facts from which you can draw conclusions. evidence is a specific type of data that proves or disproves a hypothesis or accusation. data is a specific type of evidence that proves or disproves a hypothesis or accusation.

Answer 1

In digital forensics, data refers to raw facts, while evidence is a subset of data that supports or refutes a hypothesis. Metadata is critical documentation that must be recorded in investigations, not disregarded. Proper analysis and interpretation of raw data transform it into evidence for a scientific hypothesis.

Step-by-step explanation:

When conducting a digital forensic investigation, it's vital to understand the distinction between data, evidence, and metadata. First, data is not necessarily evidence, but rather raw facts from which conclusions can be drawn. Evidence is a more niche category of data that serves to prove or disprove a hypothesis or accusation. Metadata, such as the creator of a file, date of creation, and modification times, is crucial information that must be documented as it can be integral to the investigation. Contrary to the incorrect claim, metadata is important and should be documented meticulously. Disk partition structures and file tables are indeed examples of metadata. Examining metadata indeed produces a large data volume, but this is necessary for comprehensive analysis.

When selecting evidence for a hypothesis or a claim, it's essential to choose that which is factual and can be verified. Whether the evidence aligns with predictions or not determines if the hypothesis is supported or disproven. In the realm of scientific investigation, raw data must be analyzed and interpreted before it can be defined as evidence supporting a hypothesis.