-
Notifications
You must be signed in to change notification settings - Fork 9
/
CITATION.cff
96 lines (95 loc) · 3.19 KB
/
CITATION.cff
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
Council Data Project: Software for Municipal Data
Collection, Analysis, and Publication
message: Please cite this software using these metadata.
type: software
authors:
- given-names: Eva Maxfield
family-names: Brown
email: [email protected]
affiliation: >-
University of Washington Information School,
University of Washington, Seattle
orcid: 'https://orcid.org/0000-0003-2564-0373'
- given-names: To
family-names: Huynh
affiliation: 'University of Washington, Seattle'
orcid: 'https://orcid.org/0000-0002-9664-3662'
- given-names: Isaac
family-names: Na
affiliation: 'Washington University, St. Louis'
orcid: 'https://orcid.org/0000-0002-0182-1615'
- given-names: Brian
family-names: Ledbetter
affiliation: >-
University of Washington Information School,
University of Washington, Seattle
- given-names: Hawk
family-names: Ticehurst
affiliation: >-
University of Washington Information School,
University of Washington, Seattle
- given-names: Sarah
family-names: Liu
- given-names: Emily
family-names: Gilles
- given-names: Katlyn M. F.
family-names: Greene
- given-names: Sung
family-names: Cho
- given-names: Shak
family-names: Ragoler
- given-names: Nicholas
family-names: Weber
email: [email protected]
affiliation: >-
University of Washington Information School,
University of Washington, Seattle
orcid: 'https://orcid.org/0000-0002-6008-3763'
identifiers:
- type: doi
value: 10.21105/joss.03904
- type: url
value: 'https://doi.org/10.21105/joss.03904'
repository-code: >-
https://github.com/CouncilDataProject/cookiecutter-cdp-deployment
url: 'https://councildataproject.org'
abstract: >-
Cities, counties, and states throughout the USA are
bound by law to archive recordings of public
meetings. Most local governments comply with these
laws by posting documents, audio, or video
recordings online. As there is no set standard for
municipal data archives however, parsing and
processing such data is typically time consuming
and highly dependent on each municipality. Council
Data Project (CDP) is a set of open-source tools
that improve the accessibility of local government
data by systematically collecting, transforming,
and re-publishing this data to the web. The data
re-published by CDP is packaged and presented
within a searchable web application that vastly
simplifies the process of finding specific
information within the archived data. We envision
this project being used by a variety of groups
including civic technologists hoping to promote
government transparency, researchers focused on
public policy, natural language processing, machine
learning, or information retrieval and discovery,
and many others.
keywords:
- public interest technology
- open government
- open data
- data archival
- municipal governance
- Python
- JavaScript
- natural language processing
license: MIT
commit: 59c30846b40c289b1a8b6ab10b0b46b5bdfc3c59
version: 3.0.0
date-released: '2021-12-02'