papis-uefiscdi

This library handles downloading data from the UEFISCDI (the main research financing body in Romania) and transforming it into a more open and easy to manipulate format (e.g. CSV). The plugin supports obtaining:

• Journal Impact Factor (JIF) data . At the moment of writing, this data can be found here.
• Article Influence Score (AIS) data . At the moment of writing, this data can be found here or here
• Relative Influence Score (RIS) data. At the moment of writing, this data can be found here.
• Relative Impact Factor (RIF) data. At the moment of writing, this data can be found here.

The Papis plugin that comes with it allows for easy management of the data and adding it to existing documents in a Papis database.

Workflow

papis-uefiscdi supports two slightly separate workflows: exploring the UEFISCDI databases and adding scores and quartiles from the databases to your Papis library. We'll describe both of them a bit below.

Exploring

As a first step, we will need to download the UEFISCDI databases and convert them to a more usable format. At least at the time of writing, they are in a unholy mix of PDF and Excel files (yuck), which are not easily accessible. The papis uefiscdi command can be used to transform them a more consistent JSON format.

To download and convert all the files, run

papis uefiscdi index --overwrite

This command may take a while because it has to download and parse the big files from UEFISCDI. At the end, it should add some JSON files to your Papis configuration folder in $PAPIS_CONFIG_FOLDER/uefiscdi/$YEAR/$NAME.json. The resulting databases can be easily searched and displayed with

papis uefiscdi search --database <NAME> <QUERY>

where we can choose the database we want to search, the minimum quartile that should be shown, a Web of Science category, etc. The query can also be used to further restrict the results, e.g. we can search for journal names containing the word nano using

papis uefiscdi search --database ais 'name:nano'

Extending

The command can also be used to add scores and quartiles to existing documents in a Papis library. This can be done using e.g.

papis uefiscdi add -d ais <QUERY>

which will add a uefiscdi_ais_quartile and a uefiscdi_ais_score keys to all the documents that match the query. Unfortunately, matching an existing Papis document to a UEFISCDI journal entry is not straightforward. The following caveats apply:

• The match to the UEFISCDI database entries is done by the journal name, which is lowercased and cleaned up to remove any variance in spelling, but can sometimes still fail.
• If the Papis document itself has an ISSN entry, it is used instead of the journal name matching. This can be a lot more reliable.
• Some journals appear in multiple categories, the one with the higher quartile / score is chosen. Generally, if we match a journal by name, we then use its ISSN to look for other matches.

Configuration

This command uses the uefiscdi section for its configuration options. The possible settings are

• version (default 2023): The year the database was published. This mainly affects what parsing is used, as the various documents are not compatible.
• password (default uefiscdi): Password used for known files, e.g. ais.
• aisq-url: URL to the file containing the AIS quartile data.
• jifq-url: URL to the file containing the JIF quartile data.
• ais-url: URL to the file containing the AIS score data.
• rif-url: URL to the file containing the RIF score data.
• ris-url: URL to the file containing the RIS score data.

Examples URLs are given above, but they will need to be updated as new versions are released. We strive to keep the latest values as defaults, but this may not be always possible.

Library

The plugin is also contains a library component that can be used without Papis. For example, to write the JIF scores to a CSV file, use

import csv
from papis_uefiscdi import uefiscdi

filename = download("https://uefiscdi.gov.ro/resource-866009-zone.iunie.2023.jif.pdf")
jifs = uefiscdi.parse_uefiscdi_journal_impact_factor(filename, version=2023)

with open("jif.csv", "w", encoding="utf-8") as outf:
    writer = csv.DictWriter(outf, fieldnames=list(jifs[0]))
    writer.writeheader()
    writer.writerows(jifs)

Similar functions exist to parse the other scores provided by UEFISCDI.

LICENSE

The library is licensed under GPL-3.0-or-later because it contains functionality from papis, but any new functionality is licensed under the MIT license.