for data.json
{
"author": array[1],
"title": string,
"subtitle": string,
"description": string,
"student_url": string,
"project_url": string,
"project_repo": string,
"category": array[1], //"thesis" or "ms1"
"tags": array, //for "ms1" category, tag can be "smithsonian", "met", or "undp"
"year": int,
"image": array,
"image_url": array,
"video": string,
}
for metadata.json
{
"msdv_url": "http://www.newschool.edu/parsons/ms-data-visualization/",
"msdv_archive_url": "https://parsons.nyc/",
"amt_url": "http://www.newschool.edu/parsons/art-media-technology-school-amt/",
"parsons_url": "https://www.newschool.edu/parsons/",
"newschool_url": "https://www.newschool.edu/"
}
Following is a checklist of all the data files to be processed. Some files needs to be manually adjust. So the instructions are also included here.
-
before 2022
-
2022
- need to collect
student_url
- need to collect
- Smithsonian Institute Partnership 2021 https://github.com/visualizedata/smithsonian-2020`
- SI 2020 https://github.com/visualizedata/smithsonian-2020
- The Met Museum 2019 https://github.com/visualizedata/met-museum-2019
- UNDP Renewable Energy 2018 https://github.com/visualizedata/undp-renewable-energy
- UNDP Inequality Trends 2017 https://github.com/visualizedata/undp-inequality-trends
- UNDP Inequality 2016 https://github.com/visualizedata/undp-inequality
- UNDP Gender Gap 2015 https://github.com/visualizedata/undp
-
undp 2015 currently working on
-
undp 2016
repo?
-
undp 2017
repo?
-
met ms1-2018
-
met ms1-2019
- modify name: Antonie C. Dreyer
- missing: Xingyang Cai
-
smithsonian ms1-2020
- modify name: Soonk Paik
-
smithsonian ms1-2021
- modify name: Baihan Lin, Gisli Gudjonsson
- 1 typo:
decription
-
What's the value of
image_url
-- aka the path of the image assets? currently there are two scenarios:- preview.png from each author's repo (absolute path)
- directly hosted from repo (relative path)
-
Process
undp
data -
Manual adjustments
-
Any changes on metadata.json