ResearchBuzz: FirehoseHarvard Law School Library Innovation Lab: Welcome to LIL’s Data.gov Archive Search. “Today, we’re pleased to share Data.gov Archive Search, an interface for exploring this important collection of government datasets. Our work builds on recent advancements in lightweight, browser-based querying to enable discovery of more than 311,000 datasets comprising some 17.9 terabytes of data on […]
Andreas Amsler (in English)Looking forward to catching up with a few old acquaintances and meeting new members of the Swiss #DataGov community at the ‚Haus der Kantone‘ in Berne today. #DataGovEpisodeIV
Digital Public Services Switzerland (https://www.digital-public-services-switzerland.ch/en/about-us/digital-public-services-switzerland/digital-public-services-switzerland) is one of the organisations located at https://haus-der-kantone.ch/organisationen, a site that is also home to many others.
Miki :rstats:#30DayChartChallenge Día 12: Gov Data Day! 🏛️ Explorando la distribución del spread 10Y-2Y del Tesoro USA (datos de FRED desde 1976).
Este histograma/densidad va más allá del valor diario: muestra la *probabilidad* histórica de cada nivel del spread. ¡Clave para entender expectativas económicas!
Puntos clave:
* Modo principal > 0 (curva normal es lo más común).
* ¡La inversión (<0, línea discontinua) tiene una probabilidad no trivial! ⚠️ Es la famosa señal pre-recesión. La distribución nos dice cuán "normal" es esa señal en perspectiva histórica.
* La forma general revela info sobre la dinámica de tipos.
Una visualización sobre la estructura probabilística de un indicador líder fundamental.
🛠️ #rstats #ggplot2 #quantmod #grid
📂 Código/Repo: https://t.ly/0RDmK
#Day12 #Distributions #datagov #dataviz #DataVisualization #YieldCurve #InterestRates #Economics #Finance #Recession #DataAnalysis #ggplot2
csv,conf📯 We are excited to announce that the call for proposals for #CSVCONF csv,conf,v9 is now open!
💡 This year theme is "Data for Communities"
✍🏾 Submit your ideas for talks by April 6 for a chance to join us in Bologna!
https://forms.gle/AEC5oXgQBhPrKiPJ7
#OpenData #OpenSource #DataJournalism #DataViz #DataGov
💡 This year theme is "Data for Communities"
✍🏾 Submit your ideas for talks by April 6 for a chance to join us in Bologna!
https://forms.gle/AEC5oXgQBhPrKiPJ7
#OpenData #OpenSource #DataJournalism #DataViz #DataGov
csv,conf,v9 Talk Proposal
csv,conf,v9 will be held in Bologna, Italy on Sep 10-11, 2025. Speakers receive free passes to the event, and we are working on a financial aide sponsorship budget for travel costs. https://csvconf.com/ On Sep 8-9 there will be co-located events that we will anounce soon, so stay tuned for updates! DEADLINE: THIS CALL FOR PROPOSAL IS OPEN UNTIL APRIL 27th At csv,conf,v9, we are looking for sessions that include topics like: - researchers and practitioners discussing the latest tools for crowdsourced data collection - city planners showcasing open datasets that have guided equitable infrastructure projects - educators sharing insights on how to integrate data literacy into underserved communities Additionally, we will consider presentations that fit in the broad topics of csv,conf, "Data for Communities". This year's topic is Data for Communities “Data for Communities” means recognizing that data doesn’t just belong in servers or spreadsheets; it belongs in the hands of people working to improve their neighborhoods, social services, educational resources, and policy decisions. It’s about exploring how community groups, civic organizations, and local advocates can use open data to identify pressing issues, build trust through transparency, and create lasting, positive change. What makes a good csv,conf talk? We are looking for 25-minute long presentations. Our general recommendation is to prepare for 20 minutes of speaking time and 5 minutes of Q&A (Q&A is optional and you can use your 25 minutes however you like). Curious about what makes a good csv,conf talk? Watch csv,conf talks on YouTube or look at our previous speakers: https://github.com/csvconf/csvconf.com/blob/gh-pages/_data/2019_schedule.csv https://github.com/csvconf/csvconf.com/blob/gh-pages/_data/2020_speakers.csv https://github.com/csvconf/csvconf.com/blob/gh-pages/_data/2021_speakers.csv https://github.com/csvconf/csvconf.com/blob/gh-pages/_data/2023_speakers.csv https://github.com/csvconf/csvconf.com/blob/gh-pages/_data/2024_speakers.csv Code of conduct csv,conf attendees agree to abide by our Code of Conduct: https://csvconf.com/coc.html. Any questions? For questions email [email protected], or join the public slack channel https://join.slack.com/t/csvconf/shared_invite/zt-27c2zdu9c-Tx7_BOKCpJy0u5XjitjFAA
petersuberUpdate. "Today we [Harvard Law School @harvard_law Library Innovation Lab @harvardlil] released our archive of data.gov on Source Cooperative. The 16TB collection includes over 311,000 datasets harvested during 2024 and 2025, a complete archive of federal public datasets linked by data.gov. It will be updated daily as new datasets are added to data.gov. This is the first release in our new data vault project to preserve and authenticate vital public datasets for academic research, policymaking, and public use."
https://lil.law.harvard.edu/blog/2025/02/06/announcing-data-gov-archive/
#DataGov #Libraries #OpenData #Preservation #Trump #USPol #USPolitics
Jeanne (spellboundblog)Harvard Law School Library Innovation Lab has published their archive of Data.gov, collected intermittently between 2024-11-19 and 2025-02-06 (and intended to be updated daily)
https://source.coop/repositories/harvard-lil/gov-data/description
AdamTrump's war on pronouns continues with the deletion of an online presentation made by a federal worker giving advice to write plainly by using pronouns such as "you" to address readers directly instead of terms like "the purchaser" (nothing to do with gender identity or D.E.I.)
As Koebler points out, this demonstrates a laughable pettiness, but there are more consequential deletions among the ongoing data purge
This is very welcome news in the face of Trumpist depredations of US public data.
https://lil.law.harvard.edu/blog/2025/01/30/preserving-public-u-s-federal-data/
"In recent months the Harvard Law School [@harvard_law] Library Innovation Lab [@harvardlil] has created a data vault to download, sign as authentic, and make available copies of public government data that is most valuable to researchers, scholars, civil society and the public at large across every field. To begin, we have collected major portions of the datasets tracked by data.gov, federal #Github repositories, and #PubMed...."
#DataGov #DefendResearch #Libraries #OpenData #Preservation #Trump #TrumpVResearch #USPol #USPolitics
Bagolinahttps://www.404media.co/archivists-work-to-identify-and-save-the-thousands-of-datasets-disappearing-from-data-gov
As people in the Data Hoarding and #archiving communities have pointed out, on January 21, there were 307,854 datasets on #datagov. As of Thursday, there are 305,564 datasets. Many of the #deletions happened immediately after Trump was inaugurated, according to snapshots of the #website saved on the #InternetArchive’s #WaybackMachine Harvard Univ researcher Jack Cushman has been taking snapshots of Data.gov’s datasets both before and after the inauguration #disparition
As people in the Data Hoarding and #archiving communities have pointed out, on January 21, there were 307,854 datasets on #datagov. As of Thursday, there are 305,564 datasets. Many of the #deletions happened immediately after Trump was inaugurated, according to snapshots of the #website saved on the #InternetArchive’s #WaybackMachine Harvard Univ researcher Jack Cushman has been taking snapshots of Data.gov’s datasets both before and after the inauguration #disparition
William Lindsey 
"As people in the Data Hoarding and archiving communities have pointed out, on January 21, there were 307,854 datasets on data.gov. As of Thursday, there are 305,564 datasets. Many of the deletions happened immediately after Trump was inaugurated, according to snapshots of the website saved on the Internet Archive’s Wayback Machine."
#Trump #authoritarianism #FederalGovernment #BreakingThings
#DataGov
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