Colorado's open spatial data portal

The CT Geodata Portal is an open data site for all geospatial data in Connecticut. Users can find spatial datasets directly administered by the GIS Office as well as those shared by the Department of Transportation, the Department of Energy and Environmental Protection, CT ECO, and other partners. The Geodata portal aims to provide residents, policymakers, and researchers easy access to foundational geospatial datasets and promote open data principles.

PennShare is the Pennsylvania Department of Transportation’s ArcGIS Online (AGOL) Cloud Platform. This resource is an online collection of applications, web maps, spatial data, links and documentation. Users have the ability to create and share maps, as well as, analyze spatial data. Because PennShare is a cloud based platform, collaborating with other GIS professionals is a seamless process. Most of the maps and data are available to the public and can be viewed through modern browsers, smart phones and tablets. Access to PennShare may be requested by PennDOT employees or other people doing work on behalf of the Department.

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.

A document on how to access Fisheries New Zealand’s Commercial Fisheries Management Areas spatial data. This document provide a step-by-step guide to aid you with downloading the updated datasets listed above. You will be able to download the datasets in a variety of format.This document can be found by MPI staff here.

"Our map viewer show some of the geological information SGU is able to offer. Using the viewers, you can for example see what areas we have mapped and what types of data we have collected, and get an overall picture of the country’s bedrock, Quaternary deposits and groundwater."

Website: http://apps.sgu.se/kartvisare/kartvisare-index-en.html

A cooperative effort of the Governor’s Office of Administration and Pennsylvania State University Pennsylvania Spatial Data Access (PASDA) is Pennsylvania’s official public access open geospatial data portal. PASDA was developed in 1997 and has severed as the Commonwealth’s geospatial data portal for over 25 years; it is Pennsylvania’s node on the National Spatial Data Infrastructure and is integrated with the National State Geographic Information Council GIS Inventory. Data on PASDA is free to all users and is provided by federal, state local and regional governments, non-profit organizations and academic institutions.

The Open Government Data portals (OGD) thanks to the presence of thousands of geo-referenced datasets, containing spatial information, are of extreme interest for any analysis or process relating to the territory. For this to happen, users must be enabled to access these datasets and reuse them. An element often considered hindering the full dissemination of OGD data is the quality of their metadata. Starting from an experimental investigation conducted on over 160,000 geospatial datasets belonging to six national and international OGD portals, this work has as its first objective to provide an overview of the usage of these portals measured in terms of datasets views and downloads. Furthermore, to assess the possible influence of the quality of the metadata on the use of geospatial datasets, an assessment of the metadata for each dataset was carried out, and the correlation between these two variables was measured. The results obtained showed a significant underutilization of geospatial datasets and a generally poor quality of their metadata. Besides, a weak correlation was found between the use and quality of the metadata, not such as to assert with certainty that the latter is a determining factor of the former.

The dataset consists of six zipped CSV files, containing the collected datasets' usage data, full metadata, and computed quality values, for about 160,000 geospatial datasets belonging to the three national and three international portals considered in the study, i.e. US (catalog.data.gov), Colombia (datos.gov.co), Ireland (data.gov.ie), HDX (data.humdata.org), EUODP (data.europa.eu), and NASA (data.nasa.gov).

Data collection occurred in the period: 2019-12-19 -- 2019-12-23.

The header for each CSV file is:

[ ,portalid,id,downloaddate,metadata,overallq,qvalues,assessdate,dviews,downloads,engine,admindomain]

where for each row (a portal's dataset) the following fields are defined as follows:

portalid: portal identifier

id: dataset identifier

downloaddate: date of data collection

metadata: the overall dataset's metadata downloaded via API from the portal according to the supporting platform schema

overallq: overall quality values computed by applying the methodology presented in [1]

qvalues: json object containing the quality values computed for the 17 metrics presented in [1]

assessdate: date of quality assessment

dviews: number of total views for the dataset

downloads: number of total downloads for the dataset (made available only by the Colombia, HDX, and NASA portals)

engine: identifier of the supporting portal platform: 1(CKAN), 2 (Socrata)

admindomain: 1 (national), 2 (international)

[1] Neumaier, S.; Umbrich, J.; Polleres, A. Automated Quality Assessment of Metadata Across Open Data Portals.J. Data and Information Quality2016,8, 2:1–2:29. doi:10.1145/2964909

This is a link to the New Jersey Office of GIS Geospatial Data Portal.

Online maps, metadata and spatial data services of the Liechtenstein State Administration

Have you ever wanted to create your own maps, or integrate and visualize spatial datasets to examine changes in trends between locations and over time? Follow along with these training tutorials on QGIS, an open source geographic information system (GIS) and learn key concepts, procedures and skills for performing common GIS tasks – such as creating maps, as well as joining, overlaying and visualizing spatial datasets. These tutorials are geared towards new GIS users. We’ll start with foundational concepts, and build towards more advanced topics throughout – demonstrating how with a few relatively easy steps you can get quite a lot out of GIS. You can then extend these skills to datasets of thematic relevance to you in addressing tasks faced in your day-to-day work.

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.

In the course of the construction of the spatial data infrastructure of the Free State of Thuringia (GDI-Th) selected geodata are made available to internal and external users for free use. From the geobase data of the central spatial data storage and spatial data provision component Geoproxy, data collections of particular public interest are made available to everyone as public data without restriction of access and free of charge via the Geoclient as a viewing service. These are data from the Digital Topographic Map 1:10 000 (DTK10). In the course of the construction of the spatial data infrastructure of the Free State of Thuringia (GDI-Th) selected geodata are made available to internal and external users for free use. From the geobase data of the central spatial data storage and spatial data provision component Geoproxy, data collections of particular public interest are made available to everyone as public data without restriction of access and free of charge via the Geoclient as a viewing service. These are data from the Digital Topographic Map 1:10 000 (DTK10).

The GEOSS Portal is an online map-based user interface which allows users to discover and access Earth observation data and resources from different providers from all over the world. The portal is implemented and operated by the European Space Agency and provides a single internet discovery and access point to the ever-growing quantities of heterogeneous collections of Earth observations from satellites, airplanes, drones and in-situ sensors at global, regional and local scales through the Global Earth Observation System of Systems (GEOSS). The GEOSS is a social and software ecosystem connecting a large array of observing systems, data systems and processing services to strengthen monitoring of the state of the Earth. It facilitates data and information accessibility and interoperability to support the Sustainable Development Goals (SDG) agenda and the Disaster Risk Reduction.

A collection of text files containing configurations, and XSL rendering defaults for spatial data set, spatial feature types, spatial features, and feature cross-walks as part of the Spatial Identifier Reference Framework (SIRF) linked data platform
Lineage: The configuration files and rendering defaults were created by the SIRF project team and describe a variety of spatial data sources that were collated for the SIRF project including the UN gazetteer, Indonesian place name list. Feature type lists from Geoscence Australia, Badan Informasi Geospasial (BIG), UN FAO are also contained in the collection

As part of our ongoing commitment to promote transparency, accountability, innovation and citizen engagement, Montgomery County has designed this data site to provide information on county initiatives and as a place to access the County's official published GIS data and applications.

Geodata is digital information which can be related to a specific position on the earth’s surface. At geo.admin.ch you can find geodata covering all the most important areas of life: the environment, the population, the security, the economy and many other themes.

Website: https://map.geo.admin.ch/?topic=swisstopo&lang=en&bgLayer=ch.swisstopo.pixelkarte-farbe&catalogNodes=1396,1411

Tags are part of the information, commonly called metadata, that can be added when creating new items, authoring maps and apps, or creating new groups in your organization. They can be added to any item, can be edited, and are a useful way to boost search results and find specific content.Without proper forethought, tagging data will quickly become a subjective process with a mess of inconsistent tags existing within an organization. When sharing data publicly over a multi-organizational open data platform such as the Florida Geospatial Open Data Portal, these tags may be incompatible with tags used by other organizations.This webpage seeks to provide guidance to State of Florida organizations that participate in the Florida Geospatial Open Data Portal by highlighting how tagging data works in the ArcGIS Online platform, providing best practices for getting started tagging data in your own organization, and explaining how tagging works with the Florida Geospatial Open Data Portal.

The portal hosts a wide range of data and information as well as providing map services that allow visitors to see and use the data on their own computers.
It is a significant step toward the long-term SDI goal of establishing a network of seamlessly inter-operable agency nodes for geospatial data. Acting as a data clearinghouse, the portal is a common repository for our stakeholders' data and also hosts data for those agencies not yet able to implement and administer their own node.
The portal acts as a gateway to an extensive metadata catalog--this is a master inventory where users can find standard information about available geographic data sets. The data sets are generated by our stakeholders, the Abu Dhabi government agencies that develop and maintain the most commonly needed fundamental geographic data in the Emirate.

The establishment of a BES Multi-User Geodatabase (BES-MUG) allows for the storage, management, and distribution of geospatial data associated with the Baltimore Ecosystem Study. At present, BES data is distributed over the internet via the BES website. While having geospatial data available for download is a vast improvement over having the data housed at individual research institutions, it still suffers from some limitations. BES-MUG overcomes these limitations; improving the quality of the geospatial data available to BES researches, thereby leading to more informed decision-making.

   BES-MUG builds on Environmental Systems Research Institute's (ESRI) ArcGIS and ArcSDE technology. ESRI was selected because its geospatial software offers robust capabilities. ArcGIS is implemented agency-wide within the USDA and is the predominant geospatial software package used by collaborating institutions.


   Commercially available enterprise database packages (DB2, Oracle, SQL) provide an efficient means to store, manage, and share large datasets. However, standard database capabilities are limited with respect to geographic datasets because they lack the ability to deal with complex spatial relationships. By using ESRI's ArcSDE (Spatial Database Engine) in conjunction with database software, geospatial data can be handled much more effectively through the implementation of the Geodatabase model. Through ArcSDE and the Geodatabase model the database's capabilities are expanded, allowing for multiuser editing, intelligent feature types, and the establishment of rules and relationships. ArcSDE also allows users to connect to the database using ArcGIS software without being burdened by the intricacies of the database itself.


   For an example of how BES-MUG will help improve the quality and timeless of BES geospatial data consider a census block group layer that is in need of updating. Rather than the researcher downloading the dataset, editing it, and resubmitting to through ORS, access rules will allow the authorized user to edit the dataset over the network. Established rules will ensure that the attribute and topological integrity is maintained, so that key fields are not left blank and that the block group boundaries stay within tract boundaries. Metadata will automatically be updated showing who edited the dataset and when they did in the event any questions arise.


   Currently, a functioning prototype Multi-User Database has been developed for BES at the University of Vermont Spatial Analysis Lab, using Arc SDE and IBM's DB2 Enterprise Database as a back end architecture. This database, which is currently only accessible to those on the UVM campus network, will shortly be migrated to a Linux server where it will be accessible for database connections over the Internet. Passwords can then be handed out to all interested researchers on the project, who will be able to make a database connection through the Geographic Information Systems software interface on their desktop computer. 


   This database will include a very large number of thematic layers. Those layers are currently divided into biophysical, socio-economic and imagery categories. Biophysical includes data on topography, soils, forest cover, habitat areas, hydrology and toxics. Socio-economics includes political and administrative boundaries, transportation and infrastructure networks, property data, census data, household survey data, parks, protected areas, land use/land cover, zoning, public health and historic land use change. Imagery includes a variety of aerial and satellite imagery.


   See the readme: http://96.56.36.108/geodatabase_SAL/readme.txt


   See the file listing: http://96.56.36.108/geodatabase_SAL/diroutput.txt