Fwd: New resources for a new year

[Artur Dubrawski]

potentially interesting data sources available at CMU libraries

Artur

---------- Forwarded message ---------
From: Sarah Young <sarahy at andrew.cmu.edu>
Date: Mon, Jan 8, 2024 at 8:08 AM
Subject: New resources for a new year
To: <heinz-all-faculty at lists.andrew.cmu.edu>, <
heinz-phd-post-docall at lists.andrew.cmu.edu>, <
heinz-all-adjunct at lists.andrew.cmu.edu>, <heinz-staff at lists.andrew.cmu.edu>


Dear all,

Happy new year to you! I'd like to share some exciting news about several
new data and news resources and platforms that might be of interest to you.
In addition, a reminder to request your course reserves
<https://www.library.cmu.edu/services/course-reserves> for the spring
semester!  Course reserves are not automatically renewed, so please fill
out the form <https://cmu.libwizard.com/f/course_reserve> if you'd like
books, digital or physical, placed on hold for students to borrow for
course readings.

*New Data Sources*

*Data Axle Historical Data Sets <https://guides.library.cmu.edu/DataAxle>*
Data Axle (formerly Infogroup) is a data analytics marketing firm that
provides marketing data on millions of businesses and consumers.CMU
Libraries houses and facilitates access to two forms of Data Axle
historical data:

1. *Historic Business Data* - address-level data on US businesses and other
organizations. Data fields include: street address, phone number, number of
employees, SIC codes, and more.

2. *Residential Historical Data* - geo-referenced data on millions of
households and basic consumer profiles. Data fields include: household
income, home value, years in residence and more.

*Nielsen & Nielsen IQ Datasets *
<https://guides.library.cmu.edu/nielsenkilts>
The Libraries subscribes to the NielsenIQ Consumer Panel and Retail Scanner
Data and Nielsen Ad Intel Data via the Kilts Center at Chicago Booth. The
data include Consumer Panel Data, PanelView Surveys, Retail Scanner Data
<https://www.chicagobooth.edu/research/kilts/research-data/nielseniq> and Ad
Intel Data
<https://www.chicagobooth.edu/research/kilts/research-data/nielsen-ad-intel>.
*Access to these datasets is restricted to tenure track faculty and PhD
students for research purposes only. *Please visit the research guide
<https://guides.library.cmu.edu/nielsenkilts> to learn more about accessing
and using these datasets.

*Replica * <https://guides.library.cmu.edu/az.php?q=replica>
Replica provides data about the built environment and how people interact
with it. Their datasets deliver a holistic, up-to-date picture of mobility,
people, land use, and economic activity.

*New newspaper access*

*FT.com (Financial Times) * <https://guides.library.cmu.edu/az.php?q=ft.com>

British daily business newspaper that focuses on business and economic
current affairs from around the world. Please create an account using your *CMU
email address*. Follow the directions on the screen to set up and activate
your CMU FT.com account.

We'd also like to remind you of your access to the New York Times
<https://guides.library.cmu.edu/az.php?q=new%20york%20times%20digital%20access%20via>
and Wall Street Journal
<https://guides.library.cmu.edu/az.php?q=wall%20street%20journal%20dow%20jones>
website content via the Libraries subscriptions as well.

Please get in touch if you have any questions about these new resources.
Best of luck with the new semester!

Best,

Sarah

-- 
Sarah Young
Library Liaison, Heinz College | Information Systems
Carnegie Mellon Institute for Strategy & Technology | Social & Decision
Sciences | Statistics & Data Science | CMU Africa
Carnegie Mellon University Libraries
she/her/hers | (412) 268-7384
sarahy at andrew.cmu.edu


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