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DataOS ^GxEJnHoT
Context ^i8y7FgkR
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People cobble together their own data / knowledge management workflow. e.g. johan examples of people using excel, google docs, notion, airtable to create their data inventory. Problem of getting notifications for every dataset in a group.
-
this is understandable - these are complex workflows
-
think of content management and publishing. You probably draft your post outside of wordpress (e.g. in google docs)
-
Answer: rather than fight this and try have "one tool to rule them all", let's embrace this and find ways to weave together good off-the-shelf tools and components ^rYK7zyiJ
-
Patterns
-
Tools
-
APIs ^qy5V9lOU
CKAN v3 ^4cK7mGYL
- portal.js
- datapub - https://github.com/datopian/datapub
- giftless ^5iOJCWlM
Infrastructure for data ^00QmAZ2Q
"Renderer" aka "Portal" ^8HoSnLeP
Publisher interface (+ maybe Admin) ^Ii6fR1P4
Storage API ^NiTewaQs
Google Docs / Word ^7ISNvmUU
Google Docs / Word ^pk7dDqh7
Wordpress ^401UFMfv
Issue tracker ^TFy2wssg
Wordpress ^y1iidkvo
Editor ^iEzZiaTA
Editor ^PrJNIVv2
copy & paste? ^nQuMTHjV
Sign-off flow Does it have nice featured image ^4HjMJdyV
CMS Analogy ^oeUVdh4X
v1 ^uDWb6JS6
v2 ^C433DH6e
Example: Ministry of Culture ^hML2oJoQ
- Original source: Internal databases and spreadsheets (source of truth)
- Obligation to open their data … => new task force
- They decide what they want to open
- Publish excel/csv file on the OpenDataSoft portal
Summary
- They need a list of data to decide what to open
- They need to build a flow to repeatedly release a dataset
In ministry of culture: they have an excel file which one person maintains
The internal data catalog is an excel file … (87 lines)
- some data that is
- other data not yet open where they have title
Then for a given published open dataset they need to build a publishing workflow which is often manual
Problems
- internal catalog and now data portal so have 2 sources of truth => classic pain point
Solution:
- Have one source of truth which is the "core" data catalog (internal one)
- separate metadata and data for now
- Automate process of pushing metadata from that to the main portal
- ? what about the data flow? Ans: that is a separate flow we will address later
=> need 3 things
- storage/api layer for core catalog
- UI layer for core catalog
- automation for moving metadata from core catalog to portal
^QKjSJoIU
Publish UI 2 ^JJPUjpAm
Publish UI 1 ^1xZATk6B
Storage ^TiYf5k7J
Metadata Flow (all datasets) ^UfBYbTyT
Data flow (only for approved open datasets) ^5XBvFybt
Automation ^6Imhr8Zb
Data Portal ^lLSPRcyi
Raw Source ^RQDcj76R
ETL (manual or automated) ^zV5tr0Rg
Airtable or Excel covers both ^MRgPSGLv
csv in git(lab/hub) table in a database ckan! ^gqIEENFW
Risk of airtable is lock-in for your storage to this proprietary vendor (including permissions etc) Ultimately inflexible ^iUblyisc
custom UI … google spreadsheet ^CTEjrbzC
2 ministries with diff publish flow ^Q5V8LYvw
Catalog Viewer ^26Lf5Zee
Write API ^InbEbQPC
Read API ^urFXrvsb
Option 1
A. Publish UI: if possible use something close to their existing setup "don't move the cheese"
e.g. if they are using excel - can we live with that to start with?
=> a place they upload their excel and you ingest it …
B. Storage: flat file data packages in closed gitlab/github
(or whatever structure you want)
C. Automation: use gitlab/github actions …
"on every commit" -> notify the catalog viewer to rebuild (if slow, just have catalog viewer query) "update the data portal"
D. Catalog viewer: build something quickly using e.g. portal.js
Step 2:
Replace publish UI with e.g. google spreadsheets
Step 3:
Replace publish UI with custom UI with permissions and login. ^kWIBVE1Y
Decoupled model … ^CLvV3V1M
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