4 Matching Annotations
  1. Nov 2025
    1. sources of digital structured data (e.g., spreadsheets, traditional relational databases, content management systems) have seen far less critical enquiry. Structured digital data are often venerated for their capacities to facilitate interoperability, equitable data exchange, democratic forms of engagement with, and widespread reuse of archaeological records, yet their constraints on our knowledge formation processes are arguably profound and deserving of detailed interrogation.

      If we only record an event's details in a rigid structured database, we create dark data. This is the subjective human wisdom which is the feelings, fear, or conflicts that are/could be found in a diary. The database intentionally leaves this wisdom behind because it is too ambiguous to fit its focus on measurable facts.

  2. Oct 2025
    1. Excel is a black box. When we use it, we have to take on faith that its statistics do what they say they are doing.

      Just as people mistrusted hidden power in the medieval period, I must avoid any closed software when analyzing my historical data. I will use open-source programs (like R, QGIS, or simple text editing) to clean and process my data so the exact transformation steps are completely visible and not hidden inside a "black box".

    2. The principles that we should follow are: make the data and the methods that generated the results openly available script the stastical analysis (that is, no more point-and-click statistics). More on this below. use version control

      This is like keeping a public, perfect record of a medieval financial ledger. When I gather my Black Death data, I must immediately put it into a system (like GitHub) that records every change, so I can always prove where my facts came from and how I used them.

  3. Oct 2020