1. Recovery of coastal data and using SPC as a repository
for coastal data
Working Paper 4

2. Short/medium term data collection
Data is collected, stored, and analyzed to produce reports
How valuable is the data after the report has been produced ?
How is data stored/preserved ?
There are many types of data
Field surveys, socio-economic surveys
Catch data, log books, aquaculture farms & production
Exports, domestic shipments, agents purchases

3. Long term Survey sheets & paper reports
Might be discarded, destroyed, lost
Is there any other copy of the data/report ?
Spreadsheet files and databases
Might be corrupted, deleted, lost in a computer/hard drive crash
The support/file format may become obsolete and unreadable

4. Long term Data collectors, surveyors & scientists
Will eventually leave, retire etc.
Intrinsic knowledge might be lost
What was the survey design and assumptions ?
How to read / interpret the data ?

5. The situation today Raw data is often Scattered In various formats
Hard to understand
Already lost

6. Identification of data sources and collecting data and metadata
A detective work
When, where, what data was collected ?
Who holds the data
What is the survey & sampling design ?
In which format is data available ?
What are corresponding reports, publications ?

7. Digitisation and data curation
Cost-Benefit of digitization
Can electronic data be imported ? Does it require cleaning ?
Are paper forms worth data entry and/or scanning ?
Does data entry require additional software development ?
How much storage space will be required (e.g. photos)

8. Data sharing and access control
Is data public or restricted ?
Does this data become public after paper publication or X number of years ?
How to ease access to data by partners, students, researchers

9. Long term digital preservation
Data storage
Data preservation & availability
Content preservation (ensure its usability, usefulness)
Recurring costs of data storage