List of Digital Inclusion resources available at LA Public Library branches. Updated monthly.

The Texas Department of Information Resources (DIR) has established a digital transformation guide to assist agencies with modernizing agency operations and services with respect to electronic data and converting agency information into electronic data. The purpose of the guide is to help Texas government take the next steps to advance digital transformation and improve the customer experience, no matter where the organization is on its digital journey.

Students access, clean, configure, and standardize a dataset and create a relevant and scientifically valid data visualization to communicate science.

A range of reports that helped shape the development and direction of the Mayor's Digital Talent programme .

There are many existing resources that have been developed for MPA outreach and education. We encourage you to download the excel documents and search for the resources available in your area and across the state. Many are available for your use or modification.

Background: Digital data sources have become ubiquitous in modern culture in the era of digital technology but often tend to be under-researched because of restricted access to data sources due to fragmentation, privacy issues, or industry ownership, and the methodological complexity of demonstrating their measurable impact on human health. Even though new big data sources have shown unprecedented potential for disease diagnosis and outbreak detection, we need to investigate results in the existing literature to gain a comprehensive understanding of their impact on and benefits to human health.Objective: A systematic review of systematic reviews on identifying digital data sources and their impact area on people's health, including challenges, opportunities, and good practices.Methods: A multidatabase search was performed. Peer-reviewed papers published between January 2010 and November 2020 relevant to digital data sources on health were extracted, assessed, and reviewed.Results: The 64 reviews are covered by three domains, that is, universal health coverage (UHC), public health emergencies, and healthier populations, defined in WHO's General Programme of Work, 2019–2023, and the European Programme of Work, 2020–2025. In all three categories, social media platforms are the most popular digital data source, accounting for 47% (N = 8), 84% (N = 11), and 76% (N = 26) of studies, respectively. The second most utilized data source are electronic health records (EHRs) (N = 13), followed by websites (N = 7) and mass media (N = 5). In all three categories, the most studied impact of digital data sources is on prevention, management, and intervention of diseases (N = 40), and as a tool, there are also many studies (N = 10) on early warning systems for infectious diseases. However, they could also pose health hazards (N = 13), for instance, by exacerbating mental health issues and promoting smoking and drinking behavior among young people.Conclusions: The digital data sources presented are essential for collecting and mining information about human health. The key impact of social media, electronic health records, and websites is in the area of infectious diseases and early warning systems, and in the area of personal health, that is, on mental health and smoking and drinking prevention. However, further research is required to address privacy, trust, transparency, and interoperability to leverage the potential of data held in multiple datastores and systems. This study also identified the apparent gap in systematic reviews investigating the novel big data streams, Internet of Things (IoT) data streams, and sensor, mobile, and GPS data researched using artificial intelligence, complex network, and other computer science methods, as in this domain systematic reviews are not common.

Digital Ground Model Data Sources for King County and surrounding Kitsap, Island, Pierce, and Snohomish Counties.

This data release includes digital geographic information system (GIS) data which was extracted from the U.S. Geological Survey Professional Paper 1300, volumes 1 and 2. Included are 14 shapefiles comprised of points, lines, and polygons representing the items shown in the page size figures from the reports, and one .lyrx symbology file for use in ArcGIS Pro. Also included are 364 georeferenced images of the report figures, 332 of which are figures for individual study areas, from which the shapefiles were digitized, and 32 of which are state index maps. The georeferenced images are named with the figure number or state name, and page number from the source report. Features represented in the shapefiles include figure map extents, study areas, assessment potential areas, deposits, occurrences, mines, drill holes, wells, springs, volcanic features, sample sites, geology, and geologic structures that were shown in the report figures. The .lyrx file is included to assist in the symbo ...

Data published by Queensland Treasury (QT) that supports the Digital Projects Dashboard. Data resources include the list of digital and information and communication technology (ICT) enabled initiatives and their reported status. For further information, visit the Queensland Government Digital Projects Dashboard website. Please refer to the pages: About the dashboard, FAQs and Glossary.

Abstract (en): The Global Digital Activism Data Set (GDADS), released February 2013 by the Digital Activism Research Project (DARP) at the University of Washington in Seattle, features coded cases of online digital activism from 151 countries and dependent territories. Several features from each case of digital activism were documented, including the year that online action commenced, the country of origin of the initiator(s), the geographic scope of their campaign, and whether the action was online only, or also featured offline activities. Researchers were interested in the number and types of software applications that were used by digital activists. Specifically, information was collected on whether software applications were used to circumvent censorship or evade government surveillance, to transfer money or resources, to aid in co-creation by a collaborative group, or for purposes of networking, mobilization, information sharing, or technical violence (destructive/disruptive hacking). The collection illustrates the overall focus of each case of digital activism by defining the cause advanced or defended by the action, the initiator's diagnosis of the problem and its perceived origin, the identification of the targeted audience that the campaign sought to mobilize, as well as the target whose actions the initiators aimed to influence. Finally, each case of digital activism was evaluated in terms of its success or failure in achieving the initiator's objectives, and whether any other positive outcomes were apparent. Through GDADS and associated works, DARP aims to study the effect of digital technology on civic engagement, nonviolent protest, and political change around the world. The GDADS contains three sets of data: (1) Coded Cases, (2) Case Sources, and (3) Coded Cases 2.0. The Coded Cases dataset contains 1179 coded cases of digital activism from 1982 through 2012. The Case Sources dataset is an original deposited Excel document that contains source listings from all cases documented by researchers, including those that were ultimately excluded from the original Coded Cases dataset. Coded Cases 2.0 contains 426 additional cases from 2010 through 2012; these cases were treated with a revised coding scheme and an extended review process. GDADS was assembled with the following inclusion criteria: cases needed to exhibit either (1) an activism campaign with at least one digital tactic, or (2) an instance of online discourse aimed at achieving social or political change, and (3) needed to be described by a reliable third party source. In addition to these inclusion criteria, researchers required that the digital activism be initiated by a traditional civil society organization, such as a nongovernmental organization or a nonprofit, or by the collaborative effort of one or more citizens. Digital activism cases initiated by governments or for-profit entities were not included in the collection. The data were assembled by a team of volunteers searching Web sites that are known to document global digital activism; researchers also collected data from peer reviewed journal articles that included digital activism case studies. This data collection does not feature a weighting scheme. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. Global occurrences of online digital activism and journal article case studies of digital activism from 1982 through 2012. Smallest Geographic Unit: country Dataset 1: Coded Cases, contains the entire collection of coded cases, according to the inclusion criteria, for 1982-2009, but is incomplete for 2010-2012. Dataset 2: Case Sources, is an original deposited Excel document that contains links and citations used to code dataset 1 cases, plus 166 cases collected but not included in dataset 1. Dataset 3: Coded Cases 2.0, contains additional cases using purposive, multi-source, multilingual, sampling. For more information on sampling, please refer to the Methodology section in the ICPSR Codebooks. 2014-06-12 The collection has been updated with file set 3, Coded Cases 2.0, which contains additional cases that use an updat...

Data published by the Department of Resources (DR) that supports the Digital Projects Dashboard. Data resources include the list of digital and information and communication technology (ICT) enabled initiatives and their reported status. For further information, visit the Queensland Government Digital Projects Dashboard website. Please refer to the pages: About the dashboard, FAQs and Glossary. Data published by the Department of Resources (DR) that supports the Digital Projects Dashboard. Data resources include the list of digital and information and communication technology (ICT) enabled initiatives and their reported status. For further information, visit the Queensland Government Digital Projects Dashboard website. Please refer to the pages: About the dashboard, FAQs and Glossary.

This digital dataset was created as part of a U.S. Geological Survey study, done in cooperation with the Monterey County Water Resource Agency, to conduct a hydrologic resource assessment and develop an integrated numerical hydrologic model of the hydrologic system of Salinas Valley, CA. As part of this larger study, the USGS developed this digital dataset of geologic data and three-dimensional hydrogeologic framework models, referred to here as the Salinas Valley Geological Framework (SVGF), that define the elevation, thickness, extent, and lithology-based texture variations of nine hydrogeologic units in Salinas Valley, CA. The digital dataset includes a geospatial database that contains two main elements as GIS feature datasets: (1) input data to the 3D framework and textural models, within a feature dataset called “ModelInput”; and (2) interpolated elevation, thicknesses, and textural variability of the hydrogeologic units stored as arrays of polygonal cells, within a feature ...

Data published by the Department of Education (DE) that supports the Digital Projects Dashboard. Data resources include the list of digital and information and communication technology (ICT) enabled initiatives and their reported status. For further information, visit the Queensland Government Digital Projects Dashboard website. Please refer to the pages: About the dashboard, FAQs and Glossary.

Data published by the Department of Premier and Cabinet (DPC) that supports the Digital Projects Dashboard. Data resources include the list of digital and information and communication technology (ICT) enabled initiatives and their reported status. For further information, visit the Queensland Government Digital Projects Dashboard website. Please refer to the pages: About the dashboard, FAQs and Glossary.

Data published by the Department of Justice (DJ) that supports the Digital Projects Dashboard. Data resources include the list of digital and information and communication technology (ICT) enabled initiatives and their reported status.\r For further information, visit the Queensland Government Digital Projects Dashboard website. Please refer to the pages: About the dashboard, FAQs and Glossary.

This data set accompanies the text at doi 10.5281/zenodo.3732273. // Correspondence: JH: info@africarxiv.org, SK: sk111@soas.ac.uk

Visual Map: https://kumu.io/access2perspectives/african-digital-research-repositories Dataset: https://tinyurl.com/African-Research-Repositories Archived at https://info.africarxiv.org/african-digital-research-repositories/ Submission form: https://forms.gle/CnyGPmBxN59nWVB38

Licensing: Text and Visual Map – CC-BY-SA 4.0 // Dataset – CC0 (Public Domain) // The licensing of each database is determined by the database itself

Preprint doi: 10.5281/zenodo.3732273.
Data set doi: 10.5281/zenodo.3732172 // available in different formats (pdf, xls, ods, csv)

AfricarXiv in collaboration with the International African Institute (IAI) presents an interactive map of African digital research literature repositories. This drew from IAI’s earlier work from 2016 onwards to identify and list Africa-based institutional repositories that focused on identifying repositories based in African university libraries. Our earlier resources are available at https://www.internationalafricaninstitute.org/repositories.

The interactive map extends the work of the IAI to include organizational, governmental, and international repositories. It also maps the interactions between research repositories. In this dataset, we focus on institutional repositories for scholarly works, as defined by Wikipedia contributors (March 2020).

Objective

The map of African digital repositories was created as a resource to be used in activities addressing the following aims:

Improving the discoverability of African research and publications

Enhance the interoperability of existing and emerging African repositories

Identify ways through which digital scholarly search engines can enhance the discoverability of African research

We promote the dissemination of research-based knowledge from African repositories as part of a bigger landscape that also includes online journals, research data repositories, and scholarly publishers to enhance the interconnectivity and accessibility of such repositories across and beyond the African continent and to contribute to a more granular understanding of the continent’s scholarly resources.

Data archiving and maintenance

The map and corresponding dataset are hosted on the AfricArXiv website under ‘Resources’ at https://info.africarxiv.org/african-digital-research-repositories/. The listing is not exhaustive and therefore we encourage any repositories relevant for the African continent not listed here to the submission form at https://forms.gle/CnyGPmBxN59nWVB38, or to notify the International African Institute (email sk111@soas.ac.uk). Both AfricArXiv and IAI will continue to maintain the list of repositories as a resource for African researchers and other stakeholders including international African studies communities.

The 0.53-second Sitka Alaska Digital Elevation Model provides bathymetric and topographic data in ASCII raster format of 0.53-second resolution in geographic coordinates.

Data published for initiatives led by the Department of Customer Services, Open Data and Small and Family Business (DCSODSFB), partnering across government. This data supports the Digital Projects Dashboard. Data resources include the list of digital and information and communication technology (ICT) enabled initiatives and their reported status. For further information, visit the Queensland Government Digital Projects Dashboard website. Please refer to the pages: About the dashboard, FAQs and Glossary.

This digital GIS dataset and accompanying nonspatial files synthesize model outputs from a regional-scale volumetric 3D geologic model that portrays the generalized subsurface geology of the Michigan Basin region of Michigan, Wisconsin, Illinois, Indiana, and Ohio. The intent of this product is to rapidly and efficiently synthesize large quantities of geologic data from a wide variety of sources into a multi-use geologic framework model applicable to natural resource exploration and management. Major geographic features within the study area include Lake Michigan and the Lower Peninsula of Michigan, and portions of the Upper Peninsula of Michigan, Lake Huron, Lake Saint Clair, and Lake Erie. Geologically, the study area incorporates major structures such as the Kankakee Arch, Findlay Arch, Wisconsin Arch, Algonquin Arch, Lake Superior Syncline, and the broader Michigan sedimentary basin from the Precambrian basement to the Earth's surface. Data released here consists of stratigrap ...

This dataset includes bibliographic information for 501 papers that were published from 2010-April 2017 (time of search) and use online biodiversity databases for research purposes. Our overarching goal in this study is to determine how research uses of biodiversity data developed during a time of unprecedented growth of online data resources. We also determine uses with the highest number of citations, how online occurrence data are linked to other data types, and if/how data quality is addressed. Specifically, we address the following questions:

1.) What primary biodiversity databases have been cited in published research, and which

databases have been cited most often?

2.) Is the biodiversity research community citing databases appropriately, and are

the cited databases currently accessible online?

3.) What are the most common uses, general taxa addressed, and data linkages, and how

have they changed over time?

4.) What uses have the highest impact, as measured through the mean number of citations

per year?

5.) Are certain uses applied more often for plants/invertebrates/vertebrates?

6.) Are links to specific data types associated more often with particular uses?

7.) How often are major data quality issues addressed?

8.) What data quality issues tend to be addressed for the top uses?

Relevant papers for this analysis include those that use online and openly accessible primary occurrence records, or those that add data to an online database. Google Scholar (GS) provides full-text indexing, which was important to identify data sources that often appear buried in the methods section of a paper. Our search was therefore restricted to GS. All authors discussed and agreed upon representative search terms, which were relatively broad to capture a variety of databases hosting primary occurrence records. The terms included: “species occurrence” database (8,800 results), “natural history collection” database (634 results), herbarium database (16,500 results), “biodiversity database” (3,350 results), “primary biodiversity data” database (483 results), “museum collection” database (4,480 results), “digital accessible information” database (10 results), and “digital accessible knowledge” database (52 results)--note that quotations are used as part of the search terms where specific phrases are needed in whole. We downloaded all records returned by each search (or the first 500 if there were more) into a Zotero reference management database. About one third of the 2500 papers in the final dataset were relevant. Three of the authors with specialized knowledge of the field characterized relevant papers using a standardized tagging protocol based on a series of key topics of interest. We developed a list of potential tags and descriptions for each topic, including: database(s) used, database accessibility, scale of study, region of study, taxa addressed, research use of data, other data types linked to species occurrence data, data quality issues addressed, authors, institutions, and funding sources. Each tagged paper was thoroughly checked by a second tagger.

The final dataset of tagged papers allow us to quantify general areas of research made possible by the expansion of online species occurrence databases, and trends over time. Analyses of this data will be published in a separate quantitative review.