Center for Knit and Crochet DPLA extraction

This code was originally designed to export DPLA extracts to RDF. For the Center for Knit and Crochet, the code has been modified to produce TSV (tab-separated values) output suitable for conversion to CSV (comma-separated values) and import into Omeka. Please see the original README on the parent repository for more general instructions on how to use this code to extract data from DPLA.

In order for this code to work, you'll need a DPLA API-Key. Copy the default_EXAMPLE.cfg file to default.cfg and add your API key to the default.cfg file.

** Note, this version of the code has been updated to run on python3, and can be run on a mac using terminal **

1. Login to a suitable Linux shell account (via SSH) or use a mac terminal running python
2. Type git clone https://github.com/ckc-rkeyel/dpla-api-py3.git This will make a new folder, dpla-api, with the code in it.
3. Change to the folder: cd dpla-api
4. Copy the example config file so you can add the API key: cp default_EXAMPLE.cfg default.cfg
5. Edit the config file: nano default.cfg
6. Put in the DPLA API key. Press Ctrl-X when done, follow the prompts to save changes.
7. Run the script: python3 ckc.py (on a mac running multiple versions of python)
8. Assuming no errors, the data file is at ~/dpla-api/data/ckc.txt. You can grab it by FTP.

Output:

Query: 'crochet* OR knit*' returned 7000 results
----Accessing results page 2
----Accessing results page 3
----Accessing results page 4
----Accessing results page 5
----Accessing results page 6
----Accessing results page 7
----Accessing results page 8
----Accessing results page 9
----Accessing results page 10
----Accessing results page 11
----Accessing results page 12
----Accessing results page 13
----Accessing results page 14
----Check: 7000 records transferred
Completed writing data/ckc.txt

Download the data/ckc.txt file to your computer, and open it in Microsoft Excel.

This can be a tricky process to make sure special characters are preserved. Open Excel first, use the Open, Browse option, then find the text file. In the Text Import Wizard, use the following options:

Start import at row: 1
File origin: 65001: Unicode (UTF-8)
My data has headers: checked
(next)

Delimiters: Tab
Text qualifier: "
(next)

All columns as "General"
(next)

Save the file as ckc.csv with a file type of CSV UTF-8.

Login to the CKC Omeka site, and go to the Admin page.

Click on the CSV Import+ entry on the left menu.

Attach the csv file to the form.

Use the following settings for a new import:

Column delimiter: comma
Enclosure: " (double quote)
Element delimiter: pipe
Tag delimiter: pipe
File delimiter: pipe

Default item type: Still Image
Default collection: Library and Museum Collections
Make records public: checked

Identifier field: Identifer
Action: Update the record if it exists, else create one
Contains extra data: Perhaps, so the mapping should be done manually.

Click Next.

Map the following element fields:

omeka_link -> Relation
omeka_thumb -> Relation
description -> Description
language -> Language
creator -> Creator
id -> Identifier
title -> Title
source -> Source
subjects -> Subject
omeka_full -> Relation
date -> Date
type -> Type
seeAlso -> References

In the special values column, set the following:

identifier -> Identifier

Perform the import.

Note that there is a bug that puts everything in an [Untitled] collection. You have to move them to the Library & Museum Collections collection.