Unsub is a collection analysis tool that assists libraries in analyzing their journal subscriptions.

Last update: Nov 16, 2022

Overview

About

Unsub is a collection analysis tool that assists libraries in analyzing their journal subscriptions. The tool provides rich data and a summary graph, but more detailed analysis tends to take place off the site in an exported .csv file that allows for filtering, notes, and additional visualization.

This project, Unsub Extender, is a Python script that takes an Unsub data export file and automates useful plots and visualizations for a collection analysis team to explore. The graphs are interactive through Altair and support zoom, pan, and hover, and filters in the left sidebar help set parameters to quickly narrow in on obvious titles to KEEP or CANCEL. The Python code is turned into a web app using Streamlit.

Hosting provided by Iowa State University.

Requirements

An export .csv file - from an Unsub project, choose "Export - Download as spreadsheet".

A .csv file will be saved, which is the input to Unsub Extender.

The .csv file must have the following columns in any order, but named exactly as:

title
downloads
citations
authorships
usage
subscription_cost
subscribed
cpu
cpu_rank
use_ill_percent
use_oa_percent
use_other_delayed_percent

These should already be the default column names assigned by Unsub in the file export.

subscribed column

The subscribed column is especially important as it determines the color-coding of data points in several of the graphs. The column accepts the following values:

(TRUE and FALSE are conventions carried over from Unsub, MAYBE is supported as a third option for future consideration, and leaving the cell blank will color that journal data point grey):

TRUE
- A title to keep, displayed in blue
FALSE
- A title to cancel, displayed in red
MAYBE
- A title to think more about, displayed in green
(blank)
- A title with no decision yet, displayed in grey

Usage

Hosted by Iowa State University

Navigate to https://unsubextender.lib.iastate.edu to run in browser

License

See LICENSE file

Credits

Eric Schares
Nick Booher
unsub

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Releases(v1.3)

v1.3(Jun 16, 2022)

Text in How to Use dropdown Change from using 'era_subjects' to 'subjects' column, while still keeping logic to handle 'era_subjects' Update to Streamlit 1.9.0 Add award information
Source code(tar.gz)
Source code(zip)
v1.2(Mar 24, 2022)
v.1.2

add RUSA/ETS BETA award information

add live demo webinar links

'perpetual_access_years' and '_text' conversions

Support blank Subscribed status

Logic for 'subject' and 'era_subjects' str convert

removed streamlit-analytics, was not compatible with Streamlit 1.3.1

latest pandas (1.4) was causing AssertionError, downgraded to 1.3.5

fixed trailing underscore in exported dataset filename

added dropdown to show user what they changed before exporting new data

Source code(tar.gz)
Source code(zip)
v1.1(Jan 25, 2022)
Upgrading to Streamlit 1.3.1, uses less memory and adds features

expander out of beta

columns out of beta

new download and exporter function

added era_subjects column to example dataset

needed to convert subject columns to strings

add 'subscription' to IF% calculation

add versioning in About

Source code(tar.gz)
Source code(zip)
v1.0(Aug 6, 2021)

First major official relase, stable version. Get a DOI.
Source code(tar.gz)
Source code(zip)

Owner

Collection Analysis Librarian at Iowa State University

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