Chocula is a python script to parse and merge journal-level metadata from
various sources into a consistent sqlite3 database file for analysis.

See `chocula_schema.sql` for the output schema.

## History / Name

This is the 3rd or 4th iteration of open access journal metadata munging as
part of the fatcat project; earlier attempts were crude ISSN spreadsheet
munging, then the `oa-journals-analysis` repo (Jupyter notebook and a web
interface), then the `fatcat:extra/journal_metadata/` script for bootstrapping
fatcat container metadata. This repo started as the fatcat `journal_metadata`
directory and retains the git history of that folder.

The name "chocula" comes from a half-baked pun on Count Chocula... something
something counting, serials, cereal.
[Read more about Count Chocula](https://teamyacht.com/ernstchoukula.com/Ernst-Choukula.html).

## ISSN-L Munging

Unfortunately, there seem to be plenty of legitimate ISSNs that don't end up in
the ISSN-L table. On the portal.issn.org public site, these are listed as:

    "This provisional record has been produced before publication of the
    resource.  The published resource has not yet been checked by the ISSN
    Network.It is only available to subscribing users."

For example:

- 2199-3246/2199-3254: Digital Experiences in Mathematics Education

Previously these were allowed through into fatcat, so some 2000+ entries exist.
This allowed through at least 110 totally bogus ISSNs. Currently, chocula
filters out "unknown" ISSN-Ls unless they are coming from existing fatcat
entities.


## Sources (out of date)

The `./data/fetch.sh` script will fetch mirrored snapshots of all these
datasets.

A few sources of normalization/mappings:

- ISSN-L (from ISSN org)
    - Original: <https://www.issn.org/wp-content/uploads/2014/03/issnltables.zip>
    - Snapshot: <https://archive.org/download/issn_issnl_mappings/20180216.ISSN-to-ISSN-L.txt>
- ISO 639-1 language codes: https://datahub.io/core/language-codes
- ISO 3166-1 alpha-2 country codes

In order of precedence (first higher than later):

- NCBI Entrez (Pubmed)
    - Original: <ftp://ftp.ncbi.nlm.nih.gov/pubmed/J_Entrez.txt>
    - Snapshot: <https://archive.org/download/ncbi-entrez-2019/J_Entrez.txt>
- DOAJ
    - Original: <https://doaj.org/csv>
    - Snapshot: <https://archive.org/download/doaj_bulk_metadata_2019/doaj_20190124.csv>
- ROAD
    - Original: <http://road.issn.org/en/contenu/download-road-records>
    - Snapshot: <https://archive.org/download/road-issn-2018/2018-01-24/export-issn.zip>
- SHERPA/ROMEO
    - Original: <http://www.sherpa.ac.uk/downloads/journal-title-issn-urls.php> (requires reg)
    - Mirror: <http://www.moreo.info/?csv=romeo-journals.csv>
    - Snapshot:
- Norwegian Registry
    - Original: <https://dbh.nsd.uib.no/publiseringskanaler/AlltidFerskListe>
    - Snapshot: <https://archive.org/download/norwegian_register_journals>
- Wikidata via SPARQL Query
    - SPARQL: <https://archive.org/download/wikidata-journal-metadata/wikidata.sparql>
    - Snapshot: <https://archive.org/download/wikidata-journal-metadata>
- KBART reports: LOCKSS, CLOCKSS, Portico
    - Original: (multiple, see README in IA item)
    - Snapshot: <https://archive.org/download/keepers_reports_201912>
- JSTOR
    - Original: <https://support.jstor.org/hc/en-us/articles/115007466248-JSTOR-title-lists>
- Crossref title list (not DOIs)
    - Original: <https://wwwold.crossref.org/titlelist/titleFile.csv>
    - Snapshot: <https://archive.org/download/crossref_doi_titles>
- OpenAPC Dataset
    - Original: <https://github.com/OpenAPC/openapc-de/blob/master/data/apc_de.csv>
    - Snapshot: <https://archive.org/download/openapc-dataset>
- EZB Metadata
    - Snapshot: <https://archive.org/download/ezb_snapshot_2019-07-11>
- IA SIM Microfilm catalog
    - Original: <https://archive.org/download/SerialsOnMicrofilmCollection/MASTER%20TITLE_METADATA_LIST_20171019.xlsx>
- IA homepage crawl attempts

The SHERPA/ROMEO content comes from the list helpfully munged by moreo.info.

General form here is to build a huge python dict in memory, keyed by the
ISSN-L, then write out to disk as JSON. Then the journal-metadata importer
takes a subset of fields and inserts to fatcat. Lastly, the elasticsearch
transformer takes a subset/combination of 

## Python Helpers/Libraries

- ftfy
- pycountry

Debian:
    
    sudo apt install python3-pycountry
    sudo pip3 install ftfy