This dataset lists suggestions received through the CT Open Data Dataset Suggestion survey here: https://data.ct.gov/stories/s/eivh-c3ze.

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 World Bank's Gender Data Portal makes the latest gender statistics accessible through compelling narratives and data visualizations to improve the understanding of gender data and facilitate analyses that inform policy choices.

They include:

• Population
• SDGs
• Children 0-14
• Youth 15-24
• Assets
• Education
• Employment and Time Use
• Entrepreneurship
• Environment
• Health
• Leadership
• Norms and Decision-making
• Technology
• Violence

Price comparison portals can be useful in various ways. While they allow buyers to find the best possible price available for a product, they can also help sellers to make sure that the pricing of their products remain competitive. Sellers also can use these portals to market their products in front of a very targeted audience.

In the U.S., Google Shopping is the most well-known price comparison portal with a brand awareness of 59 percent. Second on this list are Yahoo Shopping and Bing Shop, that are recognized by almost half of the internet respondents. Shopzilla comes in fourth, followed by Shopping.com and PriceGrabber.

For this study, brand awareness was surveyed employing the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.

Interested in more detailed results covering all brands of this ranking and many more? Explore GCS Brand Profiles. These statistics show results of the Brand KPI survey.

TEMPO-Online provides the following functions and services: Free access to statistical information.Export of tables in .csv and .xls formats and its printing. What is the content of TEMPO-Online? The National Institute of Statistics offers a statistical database, TEMPO-Online, that gives the possibility to access a large range of information.The content of the above-mentioned database consists of:Approximately 1100 statistical indicators, divided in socio-economical fields and sub-fields; Metadata associated to the statistical indicators (definition, starting and ending year of the time series, the last period of data loading, statistical methodology, the last updating); Detailed indicators at statistical characteristics group and/or sub-group level ( ex. The total number of employees at the end of the year by employee category, activities of the national economy - sections, sexes, areas and counties); Time series starting with 1990 - till today: With a monthly, quarterly, semi-annual and annual frequency; At national level, development region level, county and commune level. Search according to key words The search key words allows the finding of various objects (tables with statistical variables divided on time series). The search will give back results based on the matrix code and on the key words in the title or in the definition of a matrix. The result of the search will show on a list with specific objects. For a key word, one can use the searching section from the menu bar on the left.Tables As a whole, the tables that result following an interrogation have a flexible structure. For instance, the user may select the variables and attributes with the help of the interrogation interface, according to his needs.The user can save the table that results following an interrogation in .csv and .xls formats and its printingNote: in order to access tables at place level (very large), the user has to select each county with the respective places, so that the access be faster and avoid technical blocks.

Website: http://statistici.insse.ro/shop/?lang=en

United States Employment: NF: sa: IF: ISPs, Search Portals & Data Processing data was reported at 329.200 Person th in Jun 2018. This records an increase from the previous number of 328.100 Person th for May 2018. United States Employment: NF: sa: IF: ISPs, Search Portals & Data Processing data is updated monthly, averaging 265.250 Person th from Jan 1990 (Median) to Jun 2018, with 342 observations. The data reached an all-time high of 329.200 Person th in Jun 2018 and a record low of 209.200 Person th in Nov 1990. United States Employment: NF: sa: IF: ISPs, Search Portals & Data Processing data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G026: Current Employment Statistics Survey: Employment: Non Farm: sa.

Participant: Noah UrbanAffiliation: Data Driven DetroitParticipant Insights: "We submitted the Housing Information Portal, through which we provide information on up-to-date housing and property conditions in Detroit's neighborhoods. The tool allows users to access a ton of data and statistics about housing and property in their neighborhoods, and over half of the indicators on its profile pages (sample page here: https://hip.datadrivendetroit.org/custom-profiles/genesis-hope/) are sourced from the City's Open Data Portal. To me, this represents a fantastic example of the power of Open Data. After demonstrating the Portal, we had one CDO tell us that he was able to get more relevant information about his neighborhood from ten minutes of using this tool than he had been able to get from entire summers of having interns working on data collection.”

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.

We have used Analytic Hierarchy Process (AHP) to derive the priorities of all the factors in the evaluation framework for open government data (OGD) portals. The results of AHP process were shown in the uploaded pdf file. We have collected 2635 open government datasets of 15 different subject categories (local statistics, health, education, cultural activity, transportation, map, public safety, policies and legislation, weather, environment quality, registration, credit records, international trade, budget and spend, and government bid) from 9 OGD portals in China (Beijing, Zhejiang, Shanghai, Guangdong, Guizhou, Sichuan, XInjiang, Hong Kong and Taiwan). These datasets were used for the evaluation of these portals in our study. The records of the quality and open access of these datasets could be found in the uploaded Excel file.

Universal Analytics data from Google Analytics for the CalHHS Open Data Portal. This data was captured using the depreciated Universal Analytics tool and is no longer available on the web via Google UI or Google APIs. It has been loaded here so that users and the metrics dashboard can access the data.

License agreements with summary table and user guide for PICs Environmental Data Portals

United States Employment: NF: Govt: Federal: US Portal Service data was reported at 603.700 Person th in Oct 2018. This records a decrease from the previous number of 604.300 Person th for Sep 2018. United States Employment: NF: Govt: Federal: US Portal Service data is updated monthly, averaging 678.500 Person th from Jan 1939 (Median) to Oct 2018, with 958 observations. The data reached an all-time high of 949.300 Person th in Dec 1998 and a record low of 311.100 Person th in Mar 1939. United States Employment: NF: Govt: Federal: US Portal Service data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G024: Current Employment Statistics Survey: Employment: Non Farm.

This statistic shows the revenue of the industry “data processing, hosting and related activities, web portals“ in Czechia from 2012 to 2018, with a forecast to 2025. It is projected that the revenue of data processing, hosting and related activities, web portals in Czechia will amount to approximately ******** million U.S. Dollars by 2025.

The California Health and Human Services Agency (CHHS) has launched its Open Data Portal initiative in order to increase public access to one of the State’s most valuable assets – non-confidential health and human services data. Its goals are to spark innovation, promote research and economic opportunities, engage public participation in government, increase transparency, and inform decision-making. "Open Data" describes data that are freely available, machine-readable, and formatted according to national technical standards to facilitate visibility and reuse of published data.

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.

This statistic shows the revenue of the industry “data processing, hosting and related activities, web portals“ in Sweden by segment from 2012 to 2018, with a forecast to 2025. It is projected that the revenue of data processing, hosting and related activities, web portals in Sweden will amount to approximately ******** million U.S. Dollars by 2025.

Secondary Data Speed Dating is a whirlwind introductory level one hour presentation that covers: how to locate existing data or datasets on a topic of research: data repositories, open data portals, literature searches, Google; where to locate learning resources for working with secondary data or datasets; a very brief overview of the merits and challenges of working with secondary data instead of doing original research. Google spreadsheet of learning resources for working with secondary datasets: https://docs.google.com/spreadsheets/d/1CSDb-euz1BGu4Zfx5V_8CO_x0Iyg8LFeafYcaEKN6sA/edit#gid=0

The Near Real-time Data Access (NeRDA) Portal is making near real-time data available to our stakeholders and interested parties. We're helping the transition to a smart, flexible system that connects large-scale energy generation right down to the solar panels and electric vehicles installed in homes, businesses and communities right across the country. In line with our Open Networks approach, our Near Real-time Data Access (NeRDA) portal is live and making available power flow information from our EHV, HV, and LV networks, taking in data from a number of sources, including SCADA PowerOn, our installed low voltage monitoring equipment, load model forecasting tool, connectivity model, and our Long-Term Development Statement (LTDS). Making near real-time data accessible from DNOs is facilitating an economic and efficient development and operation in the transition to a low carbon economy. NeRDA is a key enabler for the delivery of Net Zero - by opening network data, it is creating opportunities for the flexible markets, helping to identify the best locations to invest flexible resources, and connect faster. You can access this information via our informative near real-time Dashboard and download portions of data or connect to our API and receive an ongoing stream of near real-time data.

Statistical data grouped, aggregated and sorted by years and months

A series of short video clips illustrating how to use the Community and Education Data Portal (https://portal.ga.gov.au/persona/education). The Community and Education data portal is one of many data delivery portals available from Geoscience Australia, giving users access to a wealth of useful data and tools. It has been designed specifically for non-technical users, so that general community members, including educators, can access themed surface and subsurface datasets or images with …Show full descriptionA series of short video clips illustrating how to use the Community and Education Data Portal (https://portal.ga.gov.au/persona/education). The Community and Education data portal is one of many data delivery portals available from Geoscience Australia, giving users access to a wealth of useful data and tools. It has been designed specifically for non-technical users, so that general community members, including educators, can access themed surface and subsurface datasets or images with enhanced capabilities including 3D visualisation, and online analysis tools. The User Guide Video complements the help menu in the portal. The User guide is broken into a series of topics Introduction Toolbar Map layers Multiple Layers Background Layers and Sharing 3D Layers Tools Custom Layers The step by step guides were produced by James Cropper.