The Annual Arts Education survey collects information on student participation in and access to arts education at NYCDOE schools. Please note the following arts-related data are now collected from other sources: The number of certified art teachers and non-certified teachers teaching the arts is collected form the HR and BEDS survey The arts instructional hours provided to elementary students are collected from the Student Transcript and Academic Recording System (STARS) The middle and high school participation in the arts data and the NYSED requirement data are collected form STARS and the HS arts sequence data are also collected form STARS
The Annual Arts in Schools Report includes data about arts teachers, arts budgeting, space for the arts, partnerships with arts and cultural organizations and parent involvement for elementary, middle and high schools. These reports help school administrators, parents and students understand how their schools are progressing towards offering universal arts education to all students.
The rate of businesses (both for-profit and non-profit) that are directly related to arts and culture per 1,000 residents. Arts-related businesses are defined as belonging to industries that allow for the consumption and enjoyment of arts and culture. The following industries are identified by their primary NAICS code: music, literary, and visual arts-related retail/supplies (451140, 451211, 451220); art dealers (453920, 453920); libraries (519120); motion picture and film (521310, 532230); art schools (611610); performing arts (711110, 711120, 711130, 711190); independent artists, writers, and performers (711510); museums (712110); historical sites (712120); and zoos, gardens and nature parks (712130, 712190). The following industries are identified by their primary SIC codes: designers (152106); art publishers (274101), music, literary, and visual arts-related retail/supplies (393101, 519202, 573608, 573609, 593201, 594201, 594205, 594501, 594520, 594601, 599965, 769969); art galleries, dealers, and consultants (599969, 599988, 599989); photography (722121); calligraphers (733607); embroidery (738942); theatres (783201, 792207); theatrical support (792211, 792212); musical and live entertainment (792903, 792905, 792906, 792908, 792917, 792918, 792927); parks (799951); art and music instruction (804958, 829915, 829919); libraries (823111); museums (841201); arts organizations (841202); zoos (842201); writers (899903); visual artists (899907, 899912); art restoring (899908); and music arrangers and composers (899921). Source: InfoUSA Years Available: 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023
https://www.icpsr.umich.edu/web/ICPSR/studies/37335/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/37335/terms
Available through DataArts, the Arts Vibrancy Index (AVI) contains data and findings of the role that arts and culture play in a city's livability and social cohesion. The National Center for Arts Research (NCAR) studies such connections between arts and cultural organizations and their communities. They combine data from nonprofit arts and cultural organizations with data for the communities in which they reside. In linking the data courses, NCAR identifies factors that affect the health and sustainability of arts organizations. NCAR realizes that each of the factors from the ecosystem included in the Arts Vibrancy Index report has an influence on a variety of financial, operating, and attendance outcomes for arts and cultural organizations. The findings are shared regarding the operating and community characteristics that drive performance - and how they affect performance - in the NCAR reports. The data that NCAR integrates for AVI report typically come from numerous sources. Organizational data that forms the basis of the Arts Dollar measures are from the Internal Revenue Service, DataArts' Cultural Data Profile, and Theatre Communications Group. Community data that forms the basis of the Arts Provider measures are from the Internal Revenue Service and the Census Bureau, which is reported by county, zip code, and census tract. State funding data is from the National Assembly of State Arts Agencies and Federal funding data is from the National Endowment for the Arts and the Institute of Museum and Library Services. The AVI reports are used by arts leaders, businesses, government agencies, funders, and engaged citizens to better understand the overall intensity and capacity of the community's arts and culture sector. Communities use the AVI and related data to benchmark themselves against an aspirational set of communities and understand what sets them apart by examining the underlying dimensions of demand, supply, and public support for arts and culture.
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Data about applications to Arts Queensland investment programs by program and round
https://opendata.vancouver.ca/pages/licence/https://opendata.vancouver.ca/pages/licence/
This dataset contains information on the artists associated with public art in the City. NoteSee also Public art dataset Data currencyThis data in City systems is updated in the normal course of business, however priorities and resources determine how fast a change in reality is reflected in the database. The extract on this web site is updated weekly. Data accuracy There is no known error but there may be some loss of quality from data entry errors. Information is accurate as of the time the information is provided by the artist and/or owner. Information related to artist may or may not be current. Websites for further informationExplore public art
As part of the LA County Arts and Culture Needs Assessment project, an assessment of County-owned facilities was conducted through interviews with department leaders and a review of the County’s Strategic Asset Management (SAM) database, to identify sites that might have potential to be used for arts and culture. Facilities with potential were identified, as were possible barriers to use. The full Facilities report can be found at this link.Thumbnail image credit: LeBasse Projects and Andrew Hem at Edmund D. Edelman Children's Court
Through the Permanent Art Program, MTA Arts & Design (formerly Arts for Transit) commissions public art that is seen by millions of city-dwellers as well as national and international visitors who use the MTA’s subways and trains. Arts & Design works closely with the architects and engineers at MTA NYC Transit, Long Island Rail Road and Metro-North Railroad to determine the parameters and sites for the artwork that is to be incorporated into each station scheduled for renovation. A diversity of well-established, mid-career and emerging artists contribute to the growing collection of works created in the materials of the system -mosaic, ceramic, tile, bronze, steel and glass. Artists are chosen through a competitive process that uses selection panels comprised of visual arts professionals and community representatives which review and select artists. This data provides the branch or station and the artist and artwork information.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Arts, Entertainment and Recreation Earnings in New York (NYEART) from Q1 1998 to Q1 2025 about arts, entertainment, recreation, earnings, NY, and USA.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Arts, Entertainment and Recreation Earnings in Georgia (GAEART) from Q1 1998 to Q1 2025 about arts, entertainment, recreation, earnings, GA, and USA.
https://www.icpsr.umich.edu/web/ICPSR/studies/36357/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36357/terms
The Arts and Cultural Production Satellite Account (ACPSA) is produced through the partnership between the United States Bureau of Economic Analysis (BEA) and the National Endowment for the Arts (NEA). Built with the BEA's input-output (I-O) accounts, the ACPSA provides detailed statistics that illustrate the impact of arts and cultural production on the United States economy. Specifically, this account provides an assessment of the arts and cultural sector's contributions to gross domestic product (GDP). For years 1998 to 2016, the ACPSA presents annual statistics about the following items: (1) Output of detailed arts and cultural commodities and the industries producing these commodities; (2) employment and compensation within these industries; (3) arts and cultural value added by industry; and (4) commodity-flow details for arts and cultural production products. In the data tables provided (click on "Other" in the Dataset(s) section), the statistics fall under two broad categories: (1) core arts and cultural production and (2) supporting arts and cultural production. The core category contains the commodities in which the output primarily contributes to arts and culture. Performing arts, museums, design services, and arts education are included in the core category. The supporting category consists of commodities that support the core category through publication, dissemination of the creative process, or other supportive functions. This category contains event promotion, printing, and broadcasting. Six national-level data tables are provided for each year from 1998 to 2016: Table 1. Production of Commodities by Industry Table 2. Output and Value Added by Industry Table 3. Supply and Consumption of Commodities Table 4. Employment and Compensation of Employees by Industry Table 5. Total ACPSA-related Employment by Industry Table 6. Output by ACPSA Commodity For the years 2012 to 2016, an additional seventh data table is added: Table 7. Real Output by Commodity For years 2001-2016 a state-level employment data table is included. It contains estimates for each state annually of employment and compensation by industry, and comparisons with ACPSA employment and compensation by industry the same year. It also includes the annual total of employment in each state across the arts and cultural commodities industries. In addition, estimates of real value added by industry and estimates of real gross output and prices indexes by ACPSA commodity are provided in separate Excel files (click on "Other" in the Dataset(s) section). The industries and commodities presented in the data are based on the 2007 North American Industrial Classification System (NAICS). Users are encouraged to review the Table Guide provided in the Dataset(s) section as it gives important information for all data tables. Also, users should review The NEA Guide to the U.S. Arts and Cultural Production Satellite Account and other related materials available on NEA's Arts Data Profile #16. The State-Level ACPSA Value added data contains value added by industry by state. The variables contained in this file are year, state, industry code, industry, and value added location quotient.
These research datasets are the updated version of the conference poster "Research data repositories and their metadata: A comparative study," presented by Ms. Kavya Asok and Ms. Snigdha Dandpat in a Conference on Open and FAIR Data Ecosystem: Principles, Policies, and Platforms scheduled from 11th -13th September 2023, at IIC, New Delhi. The study describes the features of a select number of RDRs and analyzes their metadata practices.
This contains the full inventory of public art under the purview of City of Raleigh Arts. The records within this dataset represent those pieces of art that are currently on display.
https://www.icpsr.umich.edu/web/ICPSR/studies/37698/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/37698/terms
The Everyday Itinerary Dataset is the first public-use dataset in the Dunham's Data series, a unique data collection created by Kate Elswit (Royal Central School of Speech and Drama, University of London) and Harmony Bench (The Ohio State University) to explore questions and problems that make the analysis and visualization of data meaningful for dance history through the case study of choreographer Katherine Dunham. It is a manually curated dataset of Katherine Dunham's touring from 1937-1962, encompassing Dunham's daily locations, travel, and performances. This dataset tracks geographic location and, less comprehensively, the accommodation in which Dunham stayed each night; the theatres, nightclubs, television studios, and other places where she and the company performed; the modes of transportation used when travel occurred; additional transit cities through which she passed; and whether or not Dunham was likely to be in rehearsals or giving public performances. Dunham's Data: Digital Methods for Dance Historical Inquiry is funded by the United Kingdom Arts and Humanities Research Council (AHRC AH/R012989/1, 2018-2022) and is part of a larger suite of ongoing digital collaborations by Bench and Elswit, Movement on the Move. The Dunham's Data team also includes digital humanities postdoctoral research assistant Antonio Jiménez-Mavillard and dance history postdoctoral research assistants Takiyah Nur Amin and Tia-Monique Uzor.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Public art projects in the City of Pittsburgh, including type of art, artist's name, and location.
NOTE: The data in this dataset has not updated since 2021 because of a broken data feed. We're working to fix it.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
These are the results of this ongoing inventory of cultural space in Seattle. From the largest to the smallest, The Office of Arts & Culture are counting every theater, gallery, arts office, rehearsal room, library, music club, museum, and cinema in town.
This is a dataset hosted by the City of Seattle. The city has an open data platform found here and they update their information according the amount of data that is brought in. Explore the City of Seattle using Kaggle and all of the data sources available through the City of Seattle organization page!
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 Henrik Donnestad on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The Boulder Arts Commission grants program offers funding to support arts and culture organizations, individuals, and classrooms in Boulder, following the recommendations in Boulder’s Community Cultural Plan. Boulder Arts Commission grants are offered in the categories of general operating support, community projects, arts education projects, professional development, venue rental assistance, and more.The Arts and Culture Grant Program Awardees are also published online in text format, visit https://boulderarts.org/bac/bac-grant-awards/ for an overview of this data. A data dictionary with descriptions of the fields included in the dataset can be downloaded here.
https://heidata.uni-heidelberg.de/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.11588/DATA/ZMIHMYhttps://heidata.uni-heidelberg.de/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.11588/DATA/ZMIHMY
These data are constitutif of a base gathering the sources and results of the research project "OwnReality.To Each His Own Reality. The notion of the real in the fine arts of France, West Germany, East Germany and Poland between 1960 and 1989" conducted from 2011 to 2017. The main focus of the project was the idea of identifying and reconstructing the relationships between those actively involved with art events at the time {artists, curators, art critics, art historians, etc.), apart from what can be identified as common memberships or meetings during exhibitions and congresses. It was therefore of interest how and when the idea of "reality" was discussed east and west of the Iron Curtain in the later phase of the Cold War. The project deals with the diverse viewpoints and at the same time represents the different readings of the researchers within the project team. The results were published as articles, case studies, interviews and as searchable database embedded at the website of the DFK Paris (https://dfk-paris.org/en/page/ownrealitydatabase-and-research-tool-1353.html). The dataset published at heiDATA encompasses: XML-TEI documents of the case studies and interviews and summary presentations of art journals dealing with the term of "reality" and art in the four nations in question; JSON files that output the data to the website. The main content are data to exhibitions and participating artists, curators, etc. mentioned in the examined press articles, as well as HTML derivates of the XML documents. The formation, structure and use of the XML-TEI documents and JSON files are explained with a README file. Both types of data may serve as starting point for further research.
Access B2C Contact Data for Artistically-Related Professionals for arts, crafts, and fine art dealers worldwide with Success.ai. Gain insights from 700M+ profiles, including verified email addresses, phone numbers, and business histories. Continuously updated for accuracy. Best price guaranteed.
Augusta Open Data - ARTS Census Urban Area view
The Annual Arts Education survey collects information on student participation in and access to arts education at NYCDOE schools. Please note the following arts-related data are now collected from other sources: The number of certified art teachers and non-certified teachers teaching the arts is collected form the HR and BEDS survey The arts instructional hours provided to elementary students are collected from the Student Transcript and Academic Recording System (STARS) The middle and high school participation in the arts data and the NYSED requirement data are collected form STARS and the HS arts sequence data are also collected form STARS