strong recommendation
#LoveData23 postprocessing
magnificent talk by Sahra Lamdan
"For Love or Money?"
This talk will provide much more insights than you might suspect at the moment, 
think of Alice falling into the hole.
Do make time and listen. 
https://youtube.com/watch?v=Qxd8DmktT6U&feature=shares
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You can now check out the recording of @greenarchives1's thought-provoking #LoveData23 talk on how data companies collect and commodify researcher data, "For Love or Money: What Researchers Should Know about Academic Data Cartels": https://youtube.com/watch?v=Qxd8Dm
www.youtube.com - YouTubeAuf YouTube findest du die angesagtesten Videos und Tracks. Außerdem kannst du eigene Inhalte hochladen und mit Freunden oder gleich der ganzen Welt teilen.
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And then... share it! Because if you do something, anything, with your city data (especially Boston's!) I would love to see it and share it. If you need any help/suggestions, let me know - I would love to help 
Let's show our civic data some love!
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Now... do something with that data! Download it or access it through an API. Summarize, filter, or otherwise organize it. Visualize it! Figure out if the existing documentation for that dataset is sufficient. In other words, show that civic data some love 
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(Alternatively, figure out what closest city does have an open data portal)
Then, find a dataset that you could use to answer a question you have. Maybe you want to figure out what data is available about the building or neighborhood you live in.
For this final day of #LoveDataWeek I have a challenge for you:
Go find your city's open data portal. If your city doesn't have one, see if you can find where your city does publish some/any data. Often cities will at least publish some GIS data. What data is there?
successfully applied #OpenRefine to reshape a table buried in large rdf specification html into markdown to keep for offline reference
OpenRefine is 
credit to #LoveData23 for the refresher
Check out this great blog by my colleague from earlier this #LoveDataWeek
Highlighting women in science and open research practices
openresearch.wp.st-andrews.ac.ukInternational Day of Women and Girls in Science – St Andrews Open Research
If you love your data, a #PID and #metadata is the greatest gift you can give it.
That's why Britta Dreyer will talk about #persistentIdentifiers at the #HMCFAIRFriday today.
Sign up now & join this event on the last day of the @lovedataweek:
https://helmholtz-metadaten.de/en/events/hmc-fair-friday-with-britta-dreyer
#LoveData23 #DOI #ResearchData #OpenScience #OpenResearch #FAIRData @helmholtz @HelmholtzOpenScienceOffice
#LoveData23
workshop:
Computational Approaches for Text
at Sherman Center of Digital Scholarship
#OpenRefine #jupyterNotebooks #NLP
very interesting and excellent unfolded by Devon and Jay 
So, in einer Viertelstunde geht unser offizieller Beitrag zur #LoveDataWeek los. Ich öffne des ersten Teil des #DMP-Workshops der eine kurze Einführung in das Forschungsdatenmanagement gibt für die Öffentlichkeit
https://www.esciences.uni-trier.de/workshop-umgang-mit-forschungsdaten-in-der-promotion-feburar_2023/
#LoveDAta23 #FDM_LDW #FDMPower
Want a quick, inspiring break this afternoon? Join the 15 min input on "Where to archive and share research data?" by Dimitri Donzé from the University of Geneva at 1 pm! Register for the free Zoom call here https://dis.unige.ch/portail_dis/formulaire/ou-archiver-et-partager-ses-donnees-de-recherche-en-15-minutes?lang=en
#OpenData #LoveData23
dis.unige.ch Bibliothèque UNIGE - Geforia
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Behold, the knitted results of Tuesday's poll about how you all feel about data! There were about as many Mastodon responses as in-person colleagues responding ("Survey"), only 2 responses from Twitter, and a handful of people who came by our table at the #LoveData23 #LoveDataStanford Fair. #Knitting #DataViz #DigitalHumanities
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Then, you can keep on exploring! I wonder what the top keywords are...
df_keywords = df[['identifier', 'keyword']]
.explode('keyword')
df_keywords.groupby('keyword')
.agg({'identifier': 'count'})
.sort_values('identifier', ascending=False)
.head(10)
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Open a new notebook at http://colab.research.google.com and try running this code:
import requests
import pandas as pd
data = requests.get('https://data.boston.gov/data.json').json()
df = pd.json_normalize(data['dataset'])
df.describe().T
colab.research.google.comGoogle Colab
Here's another cool feature of Analyze Boston (courtesy of CKAN): you can very easily get metadata about all resources on the site by visiting:
http://data.boston.gov/data.json
The metadata is in JSON format, so you can easily write a script to start examining it...
In the spirit of Love Data Week 2023 (#lovedata23) I asked people to send in questions they have on Open and Reproducible Data Science.
Here are my answers.
https://heidiseibold.ck.page/posts/ask-me-anything-open-reproducible-data-science
heidiseibold.ck.pageAsk-Me-Anything: Open & Reproducible Data ScienceIn the spirit of Love Data Week 2023 (#lovedata23) I asked people to send in questions they have on Open and Reproducible Data Science (AMA). Here are my answers. Format: Question? Answer. How to figure out where to start with reproducible research and what are the ways to get good data for...
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@PubPharm @pharmacy
thx for filling the free slot,
very much appreciated see you tomorrow
#LoveData23