This dataset contains data collected during a study "Transparency of open data ecosystems in smart cities: Definition and assessment of the maturity of transparency in 22 smart cities" (Sustainable Cities and Society (SCS), vol.82, 103906) conducted by Martin Lnenicka (University of Pardubice), Anastasija Nikiforova (University of Tartu), Mariusz Luterek (University of Warsaw), Otmane Azeroual (German Centre for Higher Education Research and Science Studies), Dandison Ukpabi (University of Jyväskylä), Visvaldis Valtenbergs (University of Latvia), Renata Machova (University of Pardubice).

This study inspects smart cities’ data portals and assesses their compliance with transparency requirements for open (government) data by means of the expert assessment of 34 portals representing 22 smart cities, with 36 features.

It being made public both to act as supplementary data for the paper and in order for other researchers to use these data in their own work potentially contributing to the improvement of current data ecosystems and build sustainable, transparent, citizen-centered, and socially resilient open data-driven smart cities.

Purpose of the expert assessment The data in this dataset were collected in the result of the applying the developed benchmarking framework for assessing the compliance of open (government) data portals with the principles of transparency-by-design proposed by Lněnička and Nikiforova (2021)* to 34 portals that can be considered to be part of open data ecosystems in smart cities, thereby carrying out their assessment by experts in 36 features context, which allows to rank them and discuss their maturity levels and (4) based on the results of the assessment, defining the components and unique models that form the open data ecosystem in the smart city context.

Methodology Sample selection: the capitals of the Member States of the European Union and countries of the European Economic Area were selected to ensure a more coherent political and legal framework. They were mapped/cross-referenced with their rank in 5 smart city rankings: IESE Cities in Motion Index, Top 50 smart city governments (SCG), IMD smart city index (SCI), global cities index (GCI), and sustainable cities index (SCI). A purposive sampling method and systematic search for portals was then carried out to identify relevant websites for each city using two complementary techniques: browsing and searching. To evaluate the transparency maturity of data ecosystems in smart cities, we have used the transparency-by-design framework (Lněnička & Nikiforova, 2021)*. The benchmarking supposes the collection of quantitative data, which makes this task an acceptability task. A six-point Likert scale was applied for evaluating the portals. Each sub-dimension was supplied with its description to ensure the common understanding, a drop-down list to select the level at which the respondent (dis)agree, and a comment to be provided, which has not been mandatory. This formed a protocol to be fulfilled on every portal. Each sub-dimension/feature was assessed using a six-point Likert scale, where strong agreement is assessed with 6 points, while strong disagreement is represented by 1 point. Each website (portal) was evaluated by experts, where a person is considered to be an expert if a person works with open (government) data and data portals daily, i.e., it is the key part of their job, which can be public officials, researchers, and independent organizations. In other words, compliance with the expert profile according to the International Certification of Digital Literacy (ICDL) and its derivation proposed in Lněnička et al. (2021)* is expected to be met. When all individual protocols were collected, mean values and standard deviations (SD) were calculated, and if statistical contradictions/inconsistencies were found, reassessment took place to ensure individual consistency and interrater reliability among experts’ answers. *Lnenicka, M., & Nikiforova, A. (2021). Transparency-by-design: What is the role of open data portals?. Telematics and Informatics, 61, 101605 *Lněnička, M., Machova, R., Volejníková, J., Linhartová, V., Knezackova, R., & Hub, M. (2021). Enhancing transparency through open government data: the case of data portals and their features and capabilities. Online Information Review.

Test procedure (1) perform an assessment of each dimension using sub-dimensions, mapping out the achievement of each indicator (2) all sub-dimensions in one dimension are aggregated, and then the average value is calculated based on the number of sub-dimensions – the resulting average stands for a dimension value - eight values per portal (3) the average value from all dimensions are calculated and then mapped to the maturity level – this value of each portal is also used to rank the portals.

Description of the data in this data set Sheet#1 "comparison_overall" provides results by portal Sheet#2 "comparison_category" provides results by portal and category Sheet#3 "category_subcategory" provides list of categories and its elements

Format of the file .xls

Licenses or restrictions CC-BY

For more info, see README.txt

The data is from:

https://simplemaps.com/data/world-cities

We're proud to offer a simple, accurate and up-to-date database of the world's cities and towns. We've built it from the ground up using authoritative sources such as the NGIA, US Geological Survey, US Census Bureau, and NASA.

Our database is:

• Up-to-date: It was last refreshed on May 11, 2025.
• Comprehensive: Over 4 million unique cities and towns from every country in the world (about 48 thousand in basic database).
• Accurate: Cleaned and aggregated from official sources. Includes latitude and longitude coordinates.
• Simple: A single CSV file, concise field names, only one entry per city.

World Cities provides a basemap layer for the cities of the world. The cities include national capitals, provincial capitals, major population centers, and landmark cities. Population estimates are provided for those cities listed in open source data from the United Nations Statistics Division, United Nations Human Settlements Programme, and U.S. Census Bureau.

The City of Detroit Open Data Style Guide details standards that, when implemented, improve the public understandability and accessibility of the City's open data. The Style Guide is broken up into two sections. The dataset section outlines best practices for data formatting, quality, and accessibility. The metadata section provides guidance on creating rich and informative dataset descriptions, column-level descriptions, and more. Eventually, all items on the Open Data Portal will adhere to the Style Guide.

Context

NYC Open Data is an opportunity to engage New Yorkers in the information that is produced and used by City government. We believe that every New Yorker can benefit from Open Data, and Open Data can benefit from every New Yorker. Source: https://opendata.cityofnewyork.us/overview/

Content

Thanks to NYC Open Data, which makes public data generated by city agencies available for public use, and Citi Bike, we've incorporated over 150 GB of data in 5 open datasets into Google BigQuery Public Datasets, including:

• Over 8 million 311 service requests from 2012-2016

• More than 1 million motor vehicle collisions 2012-present

• Citi Bike stations and 30 million Citi Bike trips 2013-present

• Over 1 billion Yellow and Green Taxi rides from 2009-present

• Over 500,000 sidewalk trees surveyed decennially in 1995, 2005, and 2015

This dataset is deprecated and not being updated.

Fork this kernel to get started with this dataset.

Acknowledgements

https://opendata.cityofnewyork.us/

https://cloud.google.com/blog/big-data/2017/01/new-york-city-public-datasets-now-available-on-google-bigquery

This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - https://data.cityofnewyork.us/ - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

By accessing datasets and feeds available through NYC Open Data, the user agrees to all of the Terms of Use of NYC.gov as well as the Privacy Policy for NYC.gov. The user also agrees to any additional terms of use defined by the agencies, bureaus, and offices providing data. Public data sets made available on NYC Open Data are provided for informational purposes. The City does not warranty the completeness, accuracy, content, or fitness for any particular purpose or use of any public data set made available on NYC Open Data, nor are any such warranties to be implied or inferred with respect to the public data sets furnished therein.

The City is not liable for any deficiencies in the completeness, accuracy, content, or fitness for any particular purpose or use of any public data set, or application utilizing such data set, provided by any third party.

Banner Photo by @bicadmedia from Unplash.

Inspiration

On which New York City streets are you most likely to find a loud party?

Can you find the Virginia Pines in New York City?

Where was the only collision caused by an animal that injured a cyclist?

What’s the Citi Bike record for the Longest Distance in the Shortest Time (on a route with at least 100 rides)?

https://cloud.google.com/blog/big-data/2017/01/images/148467900588042/nyc-dataset-6.png" alt="enter image description here"> https://cloud.google.com/blog/big-data/2017/01/images/148467900588042/nyc-dataset-6.png

This data extends data taken from the LSE global Urban Governance Survey. It adds 27 new cities to the 73 cities in the LSE data set that had complete information. It also adds variables on smart city initiatives, which are collected either by survey or from publicly-available sources. We also validated and completed the data in the LSE data set wherever possible. The purpose of the data set is to allow exploration of the interaction between city features and smart city initiatives.

As part of the Smart Cities Challenge, the City of Montreal asked the community to define the directions of its application. In order to imagine the Montreal of tomorrow, a survey was launched in order to hear from citizens about the major Montreal issues that have the most impact on their quality of life. This set presents the results of this survey. More information on Montreal's candidacy is available on the [Réalisons-Montréal] platform (https://www.realisonsmtl.ca/defi). Notes: A call for projects was also launched as part of the preparation of Montreal's application. Intellectual property issues do not allow us to disseminate this data.

The number of smart cities connections in the 'Smart Cities IoT Connections' segment of the internet of things market in Asia was modeled to be ************ in 2024. Following a continuous upward trend, the number of smart cities connections has risen by ************ since 2018. Between 2024 and 2028, the number of smart cities connections will rise by ************, continuing its consistent upward trajectory.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Smart Cities.

This dataset is a catalog of all the datasets available on the City of Milwaukee Open Data portal.

This is a connection to the City of Reading, Pennsylvania's Open Data Portal. Welcome to the City of Reading's open data platform, where public data sets are published for free use by the community to research, remix, and recreate.

List of the world's major cities (above 15,000 inhabitants)

The Urban Landsat: Cities from Space data set contains images for 66 urban areas and the raw, underlying data for 28 of these places. Each image shows a Landsat false color composite in UTM projection. The R/G/B layers correspond to TM/ETM+ bands 7/4/2. Each pixel is 30x30 meters in area and most images are 30x30 km in area. A 2% linear stretch has been applied to the images. The Landsat data files contain six reflected bands of calibrated exoatmospheric reflectance stored in ENVI band sequential (BSQ) format. Geographic coordinates are included in the header files. The data files contain 1000x1000x6 4 byte floating point numbers as indicated in the header files.

This is the whole sample of our survey regarding the current status of cities' open data portals. Asking data users from several backgrounds this survey aimed to determine the most used features, most important barriers, and data users perceptions regarding open geographic data available in cities' open data portals. Our goal was studying the way stakeholders especially developers and analysts looking and reuse geographic data in cities.

This survey has 21 questions, mostly multiple choice questions, but also include open-questions, the study was entirely voluntary and publicly shared, having more replies in latino American countries and Spain. Most of the replies are in Spanish.

The Cities dataset represents the official municipal boundaries within Navajo County, Arizona, defining the geographic extent of incorporated areas. This dataset is essential for urban planning, jurisdictional mapping, and government operations, supporting land use regulation, infrastructure development, and public administration. It serves as a vital resource for local government agencies, GIS professionals, policymakers, and the public, ensuring accurate and accessible municipal boundary data for various applications, including zoning, taxation, and regional development.

Content

The Green Book Online is a fully searchable database which gives New Yorkers the opportunity to search for the agencies, offices, boards and commissions that keep our City running. It includes listings for New York City, County, Courts, and New York State government offices.

Context

This is a dataset hosted by the City of New York. The city has an open data platform found here and they update their information according the amount of data that is brought in. Explore New York City using Kaggle and all of the data sources available through the City of New York organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

Cover photo by Venveo on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

Analysis of the projects proposed by the seven finalists to USDOT's Smart City Challenge, including challenge addressed, proposed project category, and project description.

The time reported for the speed profiles are between 2:00PM to 8:00PM in increments of 10 minutes.

This is a connection to Philadelphia's open data portal - OpenDataPhilly.org - built by Azavea, a Philadelphia-based geospatial software firm. OpenDataPhilly is based on the idea that providing free and easy access to data information encourages better and more transparent government and a more engaged and knowledgeable citizenry.

OpenDataPhilly is a catalog of open data about the Philadelphia region. It includes more than 300 data sets, applications and APIs from many organizations in the region, including from City government. A full list of datasets shared by Philadelphia’s municipal government can be found here: https://www.opendataphilly.org/organization/city-of-philadelphia

The website enables users to search for and locate data sets based on keyword and category searches. For each data set, application, or API, the website includes accompanying information about the origins, update frequency, and other specifics of the data. The record for each data source also includes links for downloading the data or accessing the application or API.

What do you think of OpenDataPhilly? Let us know your ideas, suggestions, questions, or how you’ve used data in useful and inspiring ways at info@opendataphilly.org.

Contact

If you want to know when City government releases new datasets, follow @PHLInnovation on twitter.

Data.AustinTexas.gov is the official portal for Open Data from the City of Austin (COA). The City of Austin’s GIS/Map Downloads page is the official portal for COA GIS data and map products that do not reside on Data.AustinTexas.gov. Both are public domain websites, which means you may link to Data.AustinTexas.gov and ftp://ftp.ci.austin.tx.us/GIS-Data/Regional/coa_gis.html at no cost. When you link to Data.AustinTexas.gov or ftp://ftp.ci.austin.tx.us/GIS-Data/Regional/coa_gis.html, please do it in an appropriate context as a service to people when they need to find official City of Austin data. We encourage you to use our logo, which we’ve provided below. Placement of the Data.AustinTexas.gov logo is to be used only as a marker and link to the home page. It is not meant as a form of endorsement or approval from the City of Austin. City of Austin Open Data Terms of Use - https://data.austintexas.gov/stories/s/ranj-cccq

List of investors in industrial cities within the industrial activity in the year

Jeu de données listant les villes ayant ouvert un portail de données ouvertes.