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+# Where does data come from
+
+* New Data
+* Pre-existing
+  * Internal 'legacy' data
+  * External data
+
+## New data
+* Adding as you go
+* Bulk data entry
+
+## Pre-existing data
+We may need to perform
+* Extraction
+* Conversion
+* Cleaning
+
+## External sources
+Possitives
+* No costs for data entry
+* No costs for quality checks
+* Delegate expertise
+
+Negatives
+* No control over data quality
+* No control over data structure
+* May be incomplete
+* May be ambiguous
+* Questions of trustworthiness
+
+# What does your data look like?
+Sometimes the external source of information may be ambiguous or incomplete according to our expectations.
+
+Different interests will shape the content of the data we want to represent.
+
+# Licenses, sharing and ethics
+
+## Why would someone let me use their data?
+* Drive sales (Commercial reasons)
+* For the common good (ethical reasons)
+* Contract requirements (contractual reasons, such as government contracts)
+
+## Why not publish open data?
+* Restrictions on source data (e.g. medical records)
+* Control of use
+* Value of the data, you're in the business of selling data.