2020 so far

Tuesday, November 10, 2020

Our biggest sustained efforts in 2020 have been on mep-django, leading up to the Shakespeare and Company Project 1.0 release in May and Startwords, leading up to the October launch of issue 1. We also worked on PEMM in January to migrate and support data entry work, and finished agreed upon commitments to wrap the grant year in July.

426 total issues closed

Hover over project name in the legend at right to highlight activity for a single project in both charts. Click and drag on a chart to zoom in on activity for a shorter time period; double click to undo the zoom.

highest complexity issues

Revise design of "Bibliography" page for Books to reflect the added information (8 points; mep-django)
As a user, I want to see and toggle my active search filters so that I can see how they affect my search. (8 points; mep-django)
As a reader, I want to read notes in context as I'm reading an article so that I can refer to additional information without losing my place. (8 points; startwords)
As a content editor, I want to merge item records so that I can combine item records and associate borrowing events when I've identified duplicated items. (5 points; mep-django)
As a researcher, I want the structured text file and incipits parsed into canonical stories, story instances, and manuscripts and imported into Google Sheets so I can work with the data in a more structured form. (5 points; pemm-scripts)
As a user, I want to see bibliographic information (title, publication date, publisher, link to OCLC if available) for an individual library item, so that I can more accurately identify the item. (5 points; mep-django)
Design the PDF view for an article (5 points; startwords)
As a data manager, I want to see alerts when the data does not pass validation checks so that I can fix validation problems quickly. (5 points; pemm-scripts)
convert dbv essay doc to markdown (5 points; startwords)
add custom css for dbv essay (5 points; startwords)
Create a way for readers to interact with image of the weaving piece through its annotations so that they can learn about it in more details (5 points; startwords)
As a user, I want to search on metadata and transcriptions together so that I can find records by description or content. (5 points; geniza)

totals by project/repository

CDH_ansible: 3 issues, 0 points
cdh-ansible: 3 issues, 0 points
cdh-web: 17 issues, 11 points
derrida-django: 8 issues, 0 points
django-pucas: 4 issues, 0 points
geniza: 12 issues, 21 points (design: 3 issues, 6 points)
mep-django: 200 issues, 123 points (design: 19 issues, 44 points)
parasolr: 6 issues, 0 points
pemm-scripts: 53 issues, 24 points
ppa-django: 15 issues, 5 points (design: 1 issues, 2 points)
princeton-cdh.github.io: 10 issues, 0 points
startwords: 95 issues, 109 points (design: 21 issues, 51 points)

2020 so far

highest complexity issues

totals by project/repository

totals by tag