Document Database Platform Market Outlook

According to our latest research, the Global Document Database Platform market size was valued at $7.8 billion in 2024 and is projected to reach $26.4 billion by 2033, expanding at a CAGR of 14.5% during the forecast period of 2025–2033. The primary driver behind this robust growth is the exponential surge in unstructured data generation across various industries, which has significantly increased the need for scalable, flexible, and high-performance document database platforms. As enterprises transition to digital-first operations and cloud-native architectures, document database platforms are becoming critical for efficient data management, real-time analytics, and seamless integration with next-generation applications. This market is further propelled by the increasing adoption of artificial intelligence and machine learning technologies, which demand sophisticated data storage and retrieval solutions capable of handling diverse and complex data types.

Regional Outlook

North America holds the largest share of the global Document Database Platform market, accounting for nearly 39% of the total market value in 2024. This dominance stems from the region’s mature IT infrastructure, high cloud adoption rates, and a strong presence of leading technology vendors such as MongoDB, Amazon Web Services, and Microsoft. The United States, in particular, has seen a rapid uptake of document database platforms in sectors like BFSI, healthcare, and retail, driven by stringent regulatory compliance requirements and the need for robust data security. Furthermore, North America’s innovation ecosystem, characterized by substantial investments in R&D and a vibrant startup culture, continues to foster advancements in database technologies, ensuring sustained market leadership throughout the forecast period.

In contrast, the Asia Pacific region is projected to be the fastest-growing market for document database platforms, with a forecasted CAGR of 17.2% from 2025 to 2033. The surge in digital transformation initiatives across countries such as China, India, and Japan is fueling unprecedented demand for scalable data management solutions. Rapid urbanization, the proliferation of e-commerce, and the expansion of fintech and healthcare sectors are key contributors to this growth. Governments in the region are actively promoting digital infrastructure development, which, coupled with increasing investments from global cloud service providers, is accelerating the adoption of document database platforms. Notably, the region’s large population base and growing internet penetration present significant opportunities for market expansion, particularly among small and medium enterprises seeking cost-effective and agile database solutions.

Emerging economies in Latin America and the Middle East & Africa are also witnessing gradual adoption of document database platforms, albeit at a slower pace compared to mature markets. Localized challenges such as limited access to advanced IT infrastructure, budget constraints, and data sovereignty concerns hinder widespread implementation. However, increasing awareness about the benefits of cloud-based database solutions and supportive government policies aimed at digitalization are gradually mitigating these barriers. In Latin America, countries like Brazil and Mexico are experiencing a rise in demand from the retail and government sectors, while in the Middle East & Africa, the focus is on leveraging document databases for smart city initiatives and enhancing public sector efficiency.

Report Scope

This guide brings together online resources that contain U.S. government documents. Some are freely available to anyone with Internet access. Others include subscription databases accessible with a DHS device.

Completed data entry forms on SADME databases for directory being compiled by the BMR. Completed data entry forms on SADME databases for directory being compiled by the BMR.

This dataset contains aggregated data for fiscal years 2006-2020 from the Institute of Museum and Library Services' annual public library survey. This transformed version of the data contains aggregated data by material type for all public libraries in the nation, as well as an additional subset of the data for aggregated data by material type for Oklahoma's public libraries. Column headers include: Year, Print Materials, Electronic Materials, Other Materials, and Total. Material categories represent: material expenditures for physical materials (books, current serial subscriptions, government documents, and any other print acquisitions), electronic materials (ebooks, e-serials, government documents, databases, electronic files, reference tools, scores, maps, or pictures, including materials digitized by the library), and other materials (microform, audio, video, DVD, and new formats). These values were directly pulled from corresponding datasets for each public library from the PRMATEXP, ELMATEXP, and OTHMATEX columns, representing physical, electronic, and other material expenditures, respectively. Negative and zero values (-3, -1, 0) were excluded from categorical tallies, with -3 values representing closed or temporarily closed administrative entities. No explanation for -1 or 0 values was present in IMLS documentation. Valued were tallied by column after negative and zero values were excluded, with final tallies for each data column included in the attached dataset. Lastly, annually tallied were summed by each year in both National and State datasets. Two sets of the data are available: One set with two tabs (one each for National and State spending) in an Excel format, and two separate files (one each for National and State spending) in a CSV format.

Emergency Document Issuance Systems Market Outlook

According to our latest research, the global Emergency Document Issuance Systems market size in 2024 stands at USD 3.17 billion, demonstrating robust demand across multiple sectors. The market is projected to grow at a CAGR of 8.4% from 2025 to 2033, reaching a forecasted size of USD 6.54 billion by 2033. This growth is primarily driven by the increasing need for secure, rapid, and efficient document issuance solutions in a world facing rising cross-border mobility, frequent emergencies, and heightened security threats.

One of the most significant growth factors for the Emergency Document Issuance Systems market is the escalating frequency of international travel and migration. As global mobility increases, so does the risk of individuals losing essential identification documents such as passports, visas, and national ID cards. This has necessitated the development and deployment of advanced systems capable of issuing replacements quickly and securely in emergency situations. Governments and agencies worldwide are increasingly investing in such solutions to ensure the safety and convenience of their citizens, especially in crisis scenarios such as natural disasters, political unrest, or personal emergencies abroad. The ability to provide immediate, tamper-proof documents not only enhances user experience but also strengthens border security and national safety protocols.

Technological advancements are another driving force accelerating market expansion. The integration of biometric authentication, artificial intelligence, and cloud-based platforms into emergency document issuance systems has significantly improved the speed, accuracy, and security of these processes. Modern solutions now offer real-time verification, automated data entry, and seamless integration with national and international databases, reducing the risk of fraud and human error. Additionally, the shift towards digital platforms allows for remote issuance and management, further enhancing accessibility and convenience for users worldwide. These innovations are particularly valuable for government agencies, airports, embassies, and law enforcement bodies that require agile and reliable document management solutions in high-pressure environments.

Heightened global security concerns and regulatory mandates are also propelling the Emergency Document Issuance Systems market. As threats related to terrorism, identity theft, and illegal immigration persist, regulatory bodies have tightened requirements for document authenticity and traceability. This has led to increased adoption of sophisticated issuance systems that comply with international security standards and offer comprehensive audit trails. The implementation of advanced encryption, multi-factor authentication, and blockchain-backed verification mechanisms ensures that emergency documents are both secure and universally recognized. As a result, stakeholders across the public and private sectors are prioritizing investments in these systems to mitigate risks and enhance operational resilience.

Regionally, North America and Europe continue to dominate the market due to their advanced technological infrastructure, high rates of international travel, and stringent security regulations. However, the Asia Pacific region is emerging as a key growth area, driven by rapid urbanization, increasing outbound travel, and government initiatives aimed at modernizing public services. Latin America and the Middle East & Africa are also witnessing increased adoption, supported by growing awareness of the importance of emergency document issuance in safeguarding citizens and facilitating international mobility. Each region presents unique opportunities and challenges, shaping the competitive landscape and influencing market dynamics on a global scale.

Component Analysis

The Emergency Document Issuance Systems market is segmented by component into software, hardware, and services, each playing a pivotal role in the overall system architecture. Software solutions form the backbone of these systems, enabling the automation of document processing, integration with biometric databases, and real-time data verification. Modern software platforms are designed to be highly scalable, supporting both centralized and decentralized issuance models. They incorporate advanced security protocols, user-friendly interfaces, and robust reporting

Document Register is a digitally maintained database where documents received and prepared by the agency are registered and the disclosure of documents including metadata is organised. As open data, it is possible to download legislation, contracts and correspondence in JSON format.

Identity Document PKI Certificate Services Market Outlook

According to our latest research, the global Identity Document PKI Certificate Services market size reached USD 2.1 billion in 2024, reflecting robust adoption across various sectors. The market is projected to grow at a CAGR of 13.2% during the forecast period, reaching USD 5.6 billion by 2033. This significant growth is attributed to the increasing need for secure digital identity verification, regulatory compliance demands, and the rising incidence of cyber threats targeting identity documents worldwide.

One of the primary growth factors for the Identity Document PKI Certificate Services market is the exponential surge in digital transformation initiatives globally. As governments, financial institutions, and enterprises transition to digital platforms, the need for secure and reliable identity verification becomes paramount. Public Key Infrastructure (PKI) certificate services play a crucial role in ensuring the authenticity and integrity of digital identity documents, such as e-passports, digital ID cards, and driver's licenses. The growing adoption of e-Government services, online banking, and digital healthcare records further amplifies the demand for PKI-based certificate services, as these sectors require robust encryption, authentication, and non-repudiation mechanisms to safeguard sensitive personal data.

Another significant driver is the tightening regulatory landscape surrounding digital identity management and data privacy. Stringent regulations such as the General Data Protection Regulation (GDPR) in Europe, the Electronic Identification, Authentication and Trust Services (eIDAS) regulation, and similar frameworks in North America and Asia Pacific mandate strong security protocols for electronic transactions and identity documents. PKI certificate services are increasingly recognized as the gold standard for compliance, offering advanced cryptographic techniques to protect against identity theft, fraud, and unauthorized access. This regulatory push is compelling organizations to invest in scalable PKI solutions, thereby fueling market expansion.

Moreover, the rising sophistication of cyber attacks targeting government databases, financial systems, and healthcare records has heightened awareness about the vulnerabilities associated with traditional identity documents. The proliferation of remote work, online banking, and telemedicine during and after the COVID-19 pandemic has further exposed gaps in identity verification processes. As a result, organizations are prioritizing the deployment of advanced PKI certificate services to ensure secure digital interactions. The ongoing evolution of identity document standards, such as machine-readable travel documents and biometric-enabled IDs, is also driving the need for interoperable and future-proof PKI solutions.

From a regional perspective, North America currently leads the Identity Document PKI Certificate Services market, driven by early adoption of digital identity technologies and a mature regulatory environment. However, the Asia Pacific region is witnessing the fastest growth, propelled by large-scale government digitalization projects in countries like China, India, and Singapore. Europe remains a significant market, supported by stringent data protection regulations and cross-border identity verification requirements. Meanwhile, Latin America and the Middle East & Africa are gradually embracing PKI certificate services, spurred by increasing investments in digital infrastructure and rising awareness about cyber security threats.

Component Analysis

The Identity Document PKI Certificate Services market is segmented by component into Software, Hardware, and Services. The software segment constitutes a major share, as organizations increasingly deploy advanced PKI management platforms to automate certificate issuance, renewal, and lifecycle management. These platforms offer seamless integration with existing

These data were generated as part of a two-and-a-half-year ESRC-funded research project examining the digitalisation of higher education (HE) and the educational technology (Edtech) industry in HE. Building on a theoretical lens of assetisation, it focused on forms of value in the sector, and governance challenges of digital data. It followed three groups of actors: UK universities, Edtech companies, and investors in Edtech. The researchers first sought to develop an overview of the Edtech industry in HE by building three databases on Edtech companies, investors in Edtech, and investment deals, using data downloaded from Crunchbase, a proprietary platform. Due to Crunchbase’s Terms of Service, only parts of one database are allowed to be submitted to this repository, i.e. a list of companies with the project’s classification. A report offering descriptive analysis of all three databases was produced and is submitted as well. A qualitative discursive analysis was conducted by analysing seven documents in depth. In the second phase, researchers conducted interviews with participants representing three groups of actors (n=43) and collected documents on their organisations. Moreover, a list of documents collected from Big Tech (Microsoft, Amazon, and Salesforce) were collected to contextualise the role of global digital infrastructure in HE. Due to commercial sensitivity, only lists of documents collected about investors and Big Tech are submitted to the repository. Researchers then conducted focus groups (n=6) with representatives of universities (n=19). The dataset includes transcripts of focus groups and outputs of writing by participants during the focus group. Finally, a public consultation was held via a survey, and 15 participants offered qualitative answers.

The higher education (HE) sector has been marketised for decades; but the speed, scope, and extent of marketisation has led key education scholars to conceptualise it as a global industry (Verger, Lubienski, & Steiner-Khamsi, 2016). Further, the use of technology to transform teaching and learning, as well as the profound digitalisation of universities more broadly, has led universities to collect and process an unprecedented amount of digital data. Education technology (EdTech) companies have become one of the key players in the HE industry and the UK has made EdTech one of its key pillars in its recent international education strategy (HM Government, 2019). EdTech companies are reporting unprecedented growth. In 2019, Coursera became a 'unicorn' (i.e. a company worth over $1 billion), while British-based FutureLearn secured £50 million investment by selling 50% shares of the company. Investment in EdTech is growing at an impressive rate and reached $16.3bn in 2018 (ET, 2019). While EdTech start-up companies strive to become 'unicorns' and profit from HE, so too might universities increasingly look for new ways of profiting from the wealth of digital data they produce.

The study of HE markets has so far focused on service-commodities. However, data and data products do not act like commodities. Commodities are consumed once used, but data is reproducible at almost zero marginal cost. New products and services can be created from data and monetised through subscription fees, an app, or a platform that does not transfer ownership, control, or reproduction rights to the user. Furthermore, data use creates yet more data, and the network effects increase the value of these platforms. Therefore, there is a new quality at play in the monetisation and marketisation of these digital HE products and services: 'assetization'. We are witnessing a widespread change from creating value via market exchange towards extracting value via the ownership and control of assets.

This research project aims to investigate these new processes of value creation and extraction in an HE sector that is digitalising its operations and introducing new digital solutions premised on the expansion of service fees. By introducing a focus on assets, and economic rents, this project offers a theoretically and empirically transformative approach to understand emerging HE markets and their implications for the HE sector. The assetization of HE is consequential because of the legal and technical implications for its regulation. It is also crucial to examine in any discussion about the legitimate and socially just arrangement and distribution of assets, their ownership, and their uses. The project employs an innovative, comparative, and participatory mixed-methods research design. It combines digital methods, interviews, observation, document analysis, deliberative focus groups, knowledge exchange and co-production with stakeholders, and public consultation. Data analysis will include quantitative and qualitative analysis of investment trends, comparative case studies of investors, EdTech companies and universities, and social network analysis.

The application of this research project is fourfold. First, it will help universities understand the emerging processes of assetization so they can develop policies and practices for protecting their rights. Second, it will assist entrepreneurs in finding ways to incorporate ethical and sustainable considerations in their innovation processes. Third, it will mediate between the financial interests of investors and the social function of universities. Here, it will provide evidence for policymakers on how to include assets in HE sector regulation. Finally, it will unpack potential forms of inequality that assetization might bring into the HE sector.

Global Encryption Software Market Size, Share, Outlook & Encryption Software Market Analysis 2024 By Application, By Deployment, By Industry Type, Competition Forecast & Opportunities

The global database encryption market size was valued USD 14.81 billion in 2023 and is expected to rise to USD 58.92 billion by 2032 at a CAGR of 16.58%.

Here are a few use cases for this project:

1. Document Verification: Use the object_detection model to automatically verify and sort governmental identification documents (Aadhar Card, Voter ID, and Driver's License) during the onboarding process for various services such as opening bank accounts, obtaining SIM cards, or applying for loans.

2. Image Categorization for Database Management: Employ object_detection to categorize and organize images of identification documents in a database, facilitating easy search and retrieval for administrative work in government offices, banks, and other institutions.

3. Fraud Detection and Prevention: Utilize the object_detection model to aid in detecting anomalies and inconsistencies within identification documents, thereby preventing identity theft and reducing fraud in financial services, government benefits, and online services.

4. Smart City Services: Integrate the object_detection model into smart city infrastructure for seamless and secure access to various public services like public transportation, libraries, and recreational facilities by automatically recognizing and validating residents' identification documents.

5. Automated Form Filling: Implement the object_detection model to automatically recognize and capture required identification document details (such as an Aadhaar Card or Driver's License) for auto-populating various online forms and applications, enhancing user experience and reducing manual data entry errors.

LocalView is a database co-created by Soubhik Barari and Tyler Simko to advance the study of local government in the United States. It is the largest existing dataset of local government public meetings— the central policy-making process in American local government — as they are captured on video. To get started, select the file(s) that you'd like for your use case based on the year that the meeting took place. Note: we are no longer supporting file formats other than .parquet for space considerations. For potential use cases or further guidance on downloading the data in bulk, visit the companion website: localview.net. Change Log Scraping, parsing, identifying, and merging together meetings involves a large number of non-trivial decisions, many of which need to be adjusted over time particularly as the YouTube API changes. As such, when such decisions notably deviate from process or the outputs documented in the first version of this database, it will be logged here. Version 2.0 (2023-10) Data updated up until September 2023. ~10,000 new videos added, all belonging to existing channels in database. Change in data format: channelType column changed to channel_type. ST_FIPS correctly padded to be 7 characters (2 digit state code + 5 digit place FIPS code). videos with no caption available from YouTube are explicitly marked as “” in caption_text. caption_text_cleaned is actually consistently cleaned (previously stray timestamps/pause markers in some entries). acs_2018_* columns now prefixed as acs_18. additional ACS variables now available for each place: acs_18_median_gross_rent: Median gross rent in FIPS place. acs_18_median_hh_inc: Median household income in FIPS place. acs_18_median_age: Median age in FIPS place. acs_18_amind: American Indian population in FIPS place. acs_18_asian: Asian population in FIPS place. acs_18_nhapi: Native Hawaiian or Pacific Islander population in FIPS place. census_2015_* columns removed for redundancy. to avoid confusion and possible conflicts, .json and .csv file formats eliminated in favor of .parquet format. municipal voteshare (_dem2pv) variables have been removed from the public use files for a number of reasons: (1) high degree of missingness, (2) no columns estimates available, (3) potential sensitivity The matching process of videos to ST-FIPS and government types is as follows: videos are matched to channels’ previous ST-FIPS codes and/or government types if there is an umambiguous match, otherwise a (1) series of regex matches with video title/description are used to attempt to match video to the government and (2) state/place names are extracted from each video’s title/description/caption and used to match to an ST-FIPS entity if an unambiguous match; only identified videos are then uploaded to the database. to identify the date of the meeting that the video captures, we first try to extract the date from the title, otherwise we try to extract the date from the description, otherwise it is discarded. Version 1.0 (2023-02) See publication for full details on methodology choices for the Version 1.0 database.

There is no abstract created for this record There is no abstract created for this record

Document Archive of Land Government Plans (PGT WEB) represents, in the Platform for Territorial Planning MULTIPLAN, the regional archive in digital format of the municipal planning tools (Government Plans of the Territory and their variants) that the municipalities send to the Regional Executive pursuant to LR 12 of 2005. The system allows the consultation via the internet of municipal planning tools approved in Lombardy, as required by the Code of the Digital Administration (DLGS No. 82 of 2005). The informative contents of the document archive are: the processes constituting approved PGTs and their variants in digital format;· data relating to the administrative process of the PGTs and their variants. The guidelines and tools for the realisation of the digital documents accompanying the Government Plans of the Territory (and which allow the population and updating of geographical databases of territorial planning in Lombardy) are published on the page “Integrated SIT for municipal planning”.

Data in the Public-Private Partnerships (PPP) database were collected in mid-2006 using four specific tools—document analysis of PPP related materials, semi-structured interviews with key informants engaged in PPP projects, an email survey of PPPs in 15 CGIAR centers, and development of a functional typology of PPPs. Each tool focused on obtaining data on the purpose, partners, outcomes, duration, and budgets of center PPPs that were active in 2004. In this database, PPPs are defined as any formal or informal arrangement between public and private sector entities to conduct research such as knowledge-sharing networks, technology financing, or subcontracted research. Please see the associated publications for further details. This data was collected in 2006 and made it to Dataverse on 2015.

Iowa Public Employment Relations Board (PERB) electronic research and retrieval database system. This system provides access to full-text documents including: Contracts, Contracts Archive, PERB and Court Decisions, and Neutral Decisions.

Contracts – Contracts published and included in this database are only those forwarded to PERB by the parties. Contracts Archive – Contracts that were forwarded to PERB and have expired, beginning with those that expired in 2008, are included in this database.

PERB and Court Decisions – In this database, the PERB decisions do not include routine or preliminary rulings and orders issued by PERB, but include only substantive final agency decisions and non-final rulings and orders deemed informative. Court decisions are those on judicial review of PERB decisions.

Neutral Decisions – The neutral decisions database includes recent and a number of prior years’ fact-finding and interest arbitration decisions. Additionally, it includes only those grievance arbitration decisions forwarded to PERB for publication by the arbitrator with consent of the parties involved. Click on the Contents tab of the database to view all documents contained in the database.

PERB decisions do not include routine or preliminary rulings and orders issued by PERB, but include only substantive final agency decisions and non-final rulings and orders deemed informative. Court decisions are those on judicial review of PERB decisions.

A dataset within the Harmonized Database of Western U.S. Water Rights (HarDWR). For a detailed description of the database, please see the meta-record v2.0. Changelog v2.0 - Switched source data from collecting records from each state independently to using the WestDAAT dataset v1.0 - Initial public release Description In order to hold a water right in the western United States, an entity, (e.g., an individual, corporation, municipality, sovereign government, or non-profit) must register a physical document with the state's water regulatory agency. State water agencies each maintain their own database containing all registered water right documents within the state, along with relevant metadata such as the point of diversion and place of use of the water. All western U.S. states have digitized their individual water rights databases, as well as geospatial data defining the areas in which water rights are managed. Each state maintains and provides their own water rights data in accordance with individual state regulations and standards. In addition, while all states make their water rights publicly available, each provides their records in unique formats, meaning that file types, field availability, and terms vary from state to state. This leads to additional challenges to managing resources which cross state lines, or conducting consistent multi-state water analyses. For the first version of HarDWR, we collected the water rights databases from 11 Western States of the United States. In order to preform regional analyses with the collected data, the raw records had to be harmonized into one single format. The Water Data Exchange (WaDE) is a program dedicated to the sharing of water-related data for the Western U.S. in a singular consistent format. Created by the Western States Water Council (WSWC) to facilitate the collection and dissemination of water data among WSWC's member states and the public, WaDE provides an important service for those interested in water resource planning and management in their focus region. Of the services which WaDE provides, the one of the most interesting is the WestDAAT dataset, which is a collection of water rights data provided by the 18 WSWC member states that have been standardized into a single format, much like we had done on a more limited scale with HarDWR v1. For this version of HarDWR we decided to use WestDAAT, specifically a snapshot created in Feburary 2024, as our water rights source data. A full explanation of the benefits gained from this switch can be found in the description of the updated Harmonized Water Rights Records v2.0, but in short it has allowed us to focus more of our efforts on answering research questions and gaining a more realistic understanding of how water rights are allocated. For more information on how the data for WestDAAT was collected, please see the WaDE data summary. Terms of Use While WaDE works directly with the state agencies to collect and standardize the water rights records, the ultimate authority for the water rights data remains the individual states. Each state, and their respective water right authorities, have made their water right records available for non-commercial reference uses. In addition, the states make no guarantees as to the completeness, accuracy, or timeliness of their respective databases, let alone the modifications which we, the authors of this paper, have made to the collected records. None of the states should be held liable for using this data outside of its intended use. As several of the states update their water rights databases daily, the information provided here is not the latest possible, and should not be used for legal purposes. WestDAAT itself has irregular updates. Additional questions about the data the source states provided should be directed to the respective state agencies (see methods.csv and organization.csv files described below). In addition, although data was presented here was not collected directly from the states, several states requested specifically worked disclaimers when sharing their data. These disclaimers are included here as an acknowledgement from where the water rights data is primarily sourced. Colorado: "The data made available here has been modified for use from its original source, which is the State of Colorado. THE STATE OF COLORADO MAKES NO REPRESENTATIONS OR WARRANTY AS TO THE COMPLETENESS, ACCURACY, TIMELINESS, OR CONTENT OF ANY DATA MADE AVAILABLE THROUGH THIS SITE. THE STATE OF COLORADO EXPRESSLY DISCLAIMS ALL WARRANTIES, WHETHER EXPRESS OR IMPLIED, INCLUDING ANY IMPLIED WARRANTIES OF MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the Web feed is being used at one's own risk." Montana: "The Montana State Library provides this product/service for informational purposes only. The Library did not produce it for, nor is it suitable for legal, engineering, or surveying purposes. Consumers of this information should review or consult the primary data and information sources to ascertain the viability of the information for their purposes. The Library provides these data in good faith but does not represent or warrant its accuracy, adequacy, or completeness. In no event shall the Library be liable for any incorrect results or analysis; any direct, indirect, special, or consequential damages to any party; or any lost profits arising out of or in connection with the use or the inability to use the data or the services provided. The Library makes these data and services available as a convenience to the public, and for no other purpose. The Library reserves the right to change or revise published data and/or services at any time." Oregon: "This product is for informational purposes and may not have been prepared for, or be suitable for legal, engineering, or surveying purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information." File Descriptions The unmodified February, 2024 WestDAAT snapshot is composed of nine files. Below is a brief description of each file, as well as how they were utilized for HarDWR. WaDEDataDictionaryTerms.xlsx: As the file's name implies, this is a data dictionary for all of the below named files. This file describes the column names for each of the following files, with the exception of citation.txt which does not have any columns. The descriptions for each file are divided by tab,with the same name as their associated file, within this document. allocationamount.csv: The "main" file of the group, it contains the water right records for each state. Of particular note, each water right is broken down into one or more water allocations. Allocations may be withdrawn from one or more locations, or even multiple allocations associated with a particular location. This is a more subtle and realistic representation of how water is used than what was available in the first version of HarDWR. For the records from some states, this can mean that multiple allocations listed under a single right will appear as rows within this file. citation.txt: A combination of contact information for WaDE personnel, disclaimer about how the data should be used, and guidelines for citing WestDAAT. methods.csv: A file describing the source and method by which WaDE collected water rights data from each state. organization.csv: A file listing the water rights authoritative agencies for each state. sites.csv: This file provides the geographic, and other descriptors, of the physical location of allocations, called 'sites'. To reiterate, it is possible for one allocation to be associated with multiple sites, as well as one site to be associated with multiple allocations. The two descriptors which we were most interested in where the site's coordinates, as well as whether the site was classified as a Point of Diversion (POD) or a Place of Use (POU). As a general rule, PODs are geographic points, while POUs are areas typically represented as property boundaries or irregularly shaped polygons. sites_pouGeometry.csv: For those allocations with a POU site, this file contains the defining points for the associated polygons. variables.csv: A file describing the units in which an allocation's water amount is reported within WestDAAT. This information is essentially a repeat of the 'AllocationFlow_CFS' and 'AllocationVolume_AF' columns within allocationamount.csv, at least for our purposes. watersources: This file describes the source of water from which each site extracts from. For our purposes, this table was used to determine whether the water came from Surface Water, Groundwater, or Unspecified Water.