60 datasets found
  1. d

    Data from: Data Dictionary Template

    • catalog.data.gov
    • data-academy.tempe.gov
    • +10more
    Updated Mar 18, 2023
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    City of Tempe (2023). Data Dictionary Template [Dataset]. https://catalog.data.gov/dataset/data-dictionary-template-2e170
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    Dataset updated
    Mar 18, 2023
    Dataset provided by
    City of Tempe
    Description

    Data Dictionary template for Tempe Open Data.

  2. t

    Metadata Form Template

    • data.tempe.gov
    • open.tempe.gov
    • +10more
    Updated Jun 5, 2020
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    City of Tempe (2020). Metadata Form Template [Dataset]. https://data.tempe.gov/documents/c450d13c28ed4b1888ed6ab9d0363473
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    Dataset updated
    Jun 5, 2020
    Dataset authored and provided by
    City of Tempe
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Metadata form template for Tempe Open Data.

  3. d

    Open Data Dictionary Template Individual

    • catalog.data.gov
    • opendata.dc.gov
    • +2more
    Updated Feb 4, 2025
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    Office of the Chief Tecnology Officer (2025). Open Data Dictionary Template Individual [Dataset]. https://catalog.data.gov/dataset/open-data-dictionary-template-individual
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    Office of the Chief Tecnology Officer
    Description

    This template covers section 2.5 Resource Fields: Entity and Attribute Information of the Data Discovery Form cited in the Open Data DC Handbook (2022). It completes documentation elements that are required for publication. Each field column (attribute) in the dataset needs a description clarifying the contents of the column. Data originators are encouraged to enter the code values (domains) of the column to help end-users translate the contents of the column where needed, especially when lookup tables do not exist.

  4. o

    Data from: WUR documentation templates, guidance, and examples.

    • explore.openaire.eu
    Updated Dec 1, 2023
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    Danny de Koning - van Nieuwamerongen; Irene Verhagen; Laura Zeeman (2023). WUR documentation templates, guidance, and examples. [Dataset]. http://doi.org/10.5281/zenodo.10245180
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    Dataset updated
    Dec 1, 2023
    Authors
    Danny de Koning - van Nieuwamerongen; Irene Verhagen; Laura Zeeman
    Description

    WUR Library (data librarians and research data management support) developed the WUR documentation templates, guidance, and examples to assist researchers in documenting data. The files in the package can be used independently of whether the data is archived at WUR or published in a repository. Note that the metadata json file is a filled in example. You can fill in your metadata json using the Yoda metadata editor at https://utrechtuniversity.github.io/yoda-portal/. Please ignore the Zenodo preview and scroll down to the files below. The filled examples are partially based on the project described in the fictional data management plan (https://doi.org/10.5281/zenodo.7096699, see 'related identifiers'). See the version history txt file for indication of changes made.

  5. Data Policy Templates

    • fsm-data.sprep.org
    • pacific-data.sprep.org
    • +13more
    docx
    Updated Feb 20, 2025
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    Secretariat of the Pacific Regional Environment Programme (2025). Data Policy Templates [Dataset]. https://fsm-data.sprep.org/dataset/data-policy-templates
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    docx(39231), docx(68313), docx(28279)Available download formats
    Dataset updated
    Feb 20, 2025
    Dataset provided by
    Pacific Regional Environment Programmehttps://www.sprep.org/
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Area covered
    Pacific Region
    Description

    This dataset contains templates of policies and MoU's on data sharing. You can download the Word-templates and adapt the documents to your national context.

  6. e

    EUDAT D4.1 Data and Computing Landscape Documentation System and Interview...

    • b2find.eudat.eu
    Updated Oct 31, 2023
    + more versions
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    (2023). EUDAT D4.1 Data and Computing Landscape Documentation System and Interview Template - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/06ba1d46-e253-5e3b-a87d-5ee44bba00d4
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    Dataset updated
    Oct 31, 2023
    Description

    Abstract: This document describes the deliverable “Data and Computing Landscape Documentation System and Interview Template”. These are tools necessary for the work of Task 4.1. The interview template gives guidance for EUDAT2020 interviewers interviewing community experts and managers. The documentation system allows EUDAT2020 to coordinate its contacts with the communities. This document also describes the rationale behind it, its status, how it relates to the EUDAT2020 (internal) workflow and other EUDAT2020 information systems and how we expect the systems to evolve.

  7. k

    Key Information Document (Template)

    • koncile.ai
    Updated Mar 28, 2024
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    Koncile (2024). Key Information Document (Template) [Dataset]. https://www.koncile.ai/en/extraction-ocr/key-information-document
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    Dataset updated
    Mar 28, 2024
    Dataset authored and provided by
    Koncile
    License

    https://www.koncile.ai/en/termsandconditionshttps://www.koncile.ai/en/termsandconditions

    Variables measured
    Main risks, Risk scale, Entry costs, Manufacturer, Product name, Product type, Recurring costs, Date of publication, Regulatory authority, Recommended investment period
    Description

    Automatically extract critical data from Key Information Documents (DIC) with Koncile's intelligent OCR. Fast structuring, usable formats (Excel, JSON).

  8. Evaluation-of-templates-for-requirements-documentation

    • zenodo.org
    zip
    Updated Jun 9, 2023
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    Katharina Großer; Katharina Großer; Marina Rukavitsyna; Jan Jürjens; Jan Jürjens; Marina Rukavitsyna (2023). Evaluation-of-templates-for-requirements-documentation [Dataset]. http://doi.org/10.5281/zenodo.7750142
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    zipAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Katharina Großer; Katharina Großer; Marina Rukavitsyna; Jan Jürjens; Jan Jürjens; Marina Rukavitsyna
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This repository contains data and code related to experimentation on a comparative evaluation of different template notations for requirements documentation in semi-formal natural language.

  9. d

    Data from: Data Documentation Initiative (DDI) Workshop

    • search.dataone.org
    Updated Dec 28, 2023
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    Carol Perry; Data Liberation Initiative (DLI) (2023). Data Documentation Initiative (DDI) Workshop [Dataset]. http://doi.org/10.5683/SP3/1AURMB
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Carol Perry; Data Liberation Initiative (DLI)
    Description

    This workshop is a continuation of the DDI power point presentation given at the previous year's DLI Training in Kingston. It is intended as a primer for those interested in understanding the basic concepts of the Data Documentation Initiative (DDI) and the Data Type Definition (DTD) statements. This time participants will have the opportunity to take a closer look, examine the tags, determine criteria for selection and create an XML template.

  10. u

    Common Document Generation Service API - Catalogue - Canadian Urban Data...

    • beta.data.urbandatacentre.ca
    Updated Aug 5, 2025
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    (2025). Common Document Generation Service API - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://beta.data.urbandatacentre.ca/dataset/bc-data-catalogue-common-document-generation-service-api
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    Dataset updated
    Aug 5, 2025
    Description

    Common Document Generation Service (CDOGS) is a common hosted service (API) for generating documents from templates, data documents, and assets. Capabilities: The API can generate any PDF or XML-based documents such as docx, xlsx, pptx, odt, ods, odp, and html. Examples of XML-based editors include Microsoft Office™, LibreOffice™ or OpenOffice™. The CDOGS API is capable of doing the following: Merge complex datasets into document templates Supports any XML-based document templates including but not limited to Microsoft Office™, LibreOffice™ or OpenOffice™ Rich templating library support leveraging the Carbone JS library Usage: To learn more on how to use the CDOGS API, check out the API Usage docs here. You can find the OpenAPI 3.0 Specification of the CDOGS API here. Onboarding: For information about onboarding to CDOGS or other common services, see the onboarding documentation.

  11. d

    Templates for developing and versioning data standards and reporting formats...

    • search.dataone.org
    • knb.ecoinformatics.org
    • +2more
    Updated Oct 27, 2022
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    Robert Crystal-Ornelas; Charuleka Varadharajan; Ben Bond-Lamberty; Kristin Boye; Madison Burrus; Shreyas Cholia; Michael Crow; Joan Damerow; Ranjeet Davarakonda; Kim S. Ely; Amy Goldman; Susan Heinz; Valerie Hendrix; Zarine Kakalia; Stephanie Pennington; Emily Robles; Alistair Rogers; Maegen Simmonds; Terri Velliquette; Helen Weierbach; Pamela Weisenhorn; Jessica N. Welch; Deborah A. Agarwal (2022). Templates for developing and versioning data standards and reporting formats using GitHub [Dataset]. http://doi.org/10.15485/1780564
    Explore at:
    Dataset updated
    Oct 27, 2022
    Dataset provided by
    ESS-DIVE
    Authors
    Robert Crystal-Ornelas; Charuleka Varadharajan; Ben Bond-Lamberty; Kristin Boye; Madison Burrus; Shreyas Cholia; Michael Crow; Joan Damerow; Ranjeet Davarakonda; Kim S. Ely; Amy Goldman; Susan Heinz; Valerie Hendrix; Zarine Kakalia; Stephanie Pennington; Emily Robles; Alistair Rogers; Maegen Simmonds; Terri Velliquette; Helen Weierbach; Pamela Weisenhorn; Jessica N. Welch; Deborah A. Agarwal
    Time period covered
    Sep 1, 2020 - Dec 3, 2020
    Description

    This data package contains three templates that can be used for creating README files and Issue Templates, written in the markdown language, that support community-led data reporting formats. We created these templates based on the results of a systematic review (see related references) that explored how groups developing data standard documentation use the Version Control platform GitHub, to collaborate on supporting documents. Based on our review of 32 GitHub repositories, we make recommendations for the content of README Files (e.g., provide a user license, indicate how users can contribute) and so 'README_template.md' includes headings for each section. The two issue templates we include ('issue_template_for_all_other_changes.md' and 'issue_template_for_documentation_change.md') can be used in a GitHub repository to help structure user-submitted issues, or can be modified to suit the needs of data standard developers. We used these templates when establishing ESS-DIVE's community space on GitHub (https://github.com/ess-dive-community) that includes documentation for community-led data reporting formats. We also include file-level metadata 'flmd.csv' that describes the contents of each file within this data package. Lastly, the temporal range that we indicate in our metadata is the time range during which we searched for data standards documented on GitHub.

  12. f

    Data Extraction Template.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated May 9, 2025
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    Coleman, Brian C.; Cupler, Zachary; Poppen, Olivia; Joyce, Jane; Bensel, Victoria A.; Wiles, Michael; Allgeier, Mike; Driscoll, Mary; Carbonelli-Cloutier, Kristy (2025). Data Extraction Template. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0002031564
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    Dataset updated
    May 9, 2025
    Authors
    Coleman, Brian C.; Cupler, Zachary; Poppen, Olivia; Joyce, Jane; Bensel, Victoria A.; Wiles, Michael; Allgeier, Mike; Driscoll, Mary; Carbonelli-Cloutier, Kristy
    Description

    BackgroundTrauma is a significant public health issue that affects both mental and physical health. Healthcare delivery based on trauma-informed care (TIC) principles is designed to mitigate the risk of re-traumatization in healthcare settings to improve patient outcomes. Chronic pain is a common comorbidity of trauma and a common reason that people seek healthcare, including chiropractic care. The extent to which TIC training is integrated into chiropractic education and Doctor of Chiropractic Programs (DCPs) remains unclear.ObjectiveThis study aims to evaluate the presence of TIC principles in educational curricula documents from accredited DCPs across the United States and Canada to identify potential gaps in trauma-sensitive education within chiropractic training.MethodsA scoping document analysis will be conducted using educational curricula documents (program handbooks, course catalogs, and course syllabi) from DCPs accredited by the Council on Chiropractic Education (CCE-USA). Documents will be evaluated for TIC-related search terms based on established frameworks from the Substance Abuse and Mental Health Services Administration and the Harvard Medical School TIC Core Competencies. The analysis will assess the presence of TIC principles such as safety, trust, empowerment, and cultural sensitivity. A phased approach will be used for data extraction, ensuring a comprehensive review of TIC integration.ResultsThe study will quantify the inclusion of TIC principles in chiropractic education in the United States and Canada and identify trends or gaps related to TIC education.ConclusionOur findings can inform future curriculum review and development, ensuring DCPs integrate TIC effectively to enhance care for trauma-exposed patients.

  13. Operational Analysis Template

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Mar 11, 2023
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    Social Security Administration (2023). Operational Analysis Template [Dataset]. https://catalog.data.gov/dataset/operational-analysis-template
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    Dataset updated
    Mar 11, 2023
    Dataset provided by
    Social Security Administrationhttp://ssa.gov/
    Description

    Operational Analysis is a method of examining the current and historical performance of the operations and maintenance investments and measuring that performance against an established set of cost, schedule, and performance parameters. The Operational Analysis template is used as a guide in preparing and documenting SSA's Operational Analyses.

  14. f

    Data from: PaR REF Peer Review Process Documents, Templates and REF-specific...

    • salford.figshare.com
    • figshare.com
    pdf
    Updated Aug 1, 2025
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    Alison Elizabeth Matthews (2025). PaR REF Peer Review Process Documents, Templates and REF-specific Criteria [Dataset]. http://doi.org/10.17866/rd.salford.5110972.v6
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    pdfAvailable download formats
    Dataset updated
    Aug 1, 2025
    Dataset provided by
    University of Salford
    Authors
    Alison Elizabeth Matthews
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A group of advisory documents and templates for the creation of PaR submissions to REF using Figshare, using REF criteria specifically for peer review.

  15. d

    Hawaii Geothermal Documents Metadata.

    • datadiscoverystudio.org
    zip
    Updated Apr 9, 2015
    + more versions
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    (2015). Hawaii Geothermal Documents Metadata. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/bd6432b1bcdc4c2d9b3f49c9768b5b4a/html
    Explore at:
    zipAvailable download formats
    Dataset updated
    Apr 9, 2015
    Description

    description: Bibliography of documents and lists of documents about geothermal related topics in Hawaii. A spreadsheet of 7 worksheets; including information about the template, notes related to revisions of the template, Resource provider information, the data, a field list (data mapping view) and a worksheet with vocabularies for use in populating the spreadsheet (data valid terms). Data for 180 documents.; abstract: Bibliography of documents and lists of documents about geothermal related topics in Hawaii. A spreadsheet of 7 worksheets; including information about the template, notes related to revisions of the template, Resource provider information, the data, a field list (data mapping view) and a worksheet with vocabularies for use in populating the spreadsheet (data valid terms). Data for 180 documents.

  16. f

    Reporting documentation template for data used within the GIS based MCE...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jan 7, 2025
    + more versions
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    Megan Silverthorn; Suleiman O. Yakubu; Lynne Falconer (2025). Reporting documentation template for data used within the GIS based MCE aquaculture site selection model (new row inserted for each data layer). [Dataset]. http://doi.org/10.1371/journal.pstr.0000155.t005
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    xlsAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset provided by
    PLOS Sustainability and Transformation
    Authors
    Megan Silverthorn; Suleiman O. Yakubu; Lynne Falconer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Reporting documentation template for data used within the GIS based MCE aquaculture site selection model (new row inserted for each data layer).

  17. Template for compilation of SDG indicator 11 3 2

    • hub.arcgis.com
    • data.unhabitat.org
    Updated Dec 9, 2021
    + more versions
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    UN-Habitat (2021). Template for compilation of SDG indicator 11 3 2 [Dataset]. https://hub.arcgis.com/documents/6b1a288763b1433d94b683913a2fa04e
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    Dataset updated
    Dec 9, 2021
    Dataset provided by
    United Nations Human Settlements Programmehttps://unhabitat.org/
    Authors
    UN-Habitat
    Description

    This is the reporting template for SDG indicator 11.3.2 which UN-Habitat sends to countries on an annual basis to submit the most recent data at the city and national levels. Please click on the [DOWNLOAD] button to get the .xlsx template.Last updated: November 2024

  18. t

    Inv3d: a high-resolution 3d invoice dataset for template-guided single-image...

    • service.tib.eu
    Updated Nov 28, 2024
    + more versions
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    (2024). Inv3d: a high-resolution 3d invoice dataset for template-guided single-image document unwarping - validation split - Vdataset - LDM [Dataset]. https://service.tib.eu/ldmservice/dataset/rdr-doi-10-35097-1686
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    Dataset updated
    Nov 28, 2024
    Description

    Abstract: Numerous business workflows involve printed forms, such as invoices or receipts, which are often manually digitalized to persistently search or store the data. As hardware scanners are costly and inflexible, smartphones are increasingly used for digitalization. Here, processing algorithms need to deal with prevailing environmental factors, such as shadows or crumples. Current state-of-the-art approaches learn supervised image dewarping models based on pairs of raw images and rectification meshes. The available results show promising predictive accuracies for dewarping, but generated errors still lead to sub-optimal information retrieval. In this paper, we explore the potential of improving dewarping models using additional, structured information in the form of invoice templates. We provide two core contributions: (1) a novel dataset, referred to as Inv3D, comprising synthetic and real-world high-resolution invoice images with structural templates, rectification meshes, and a multiplicity of per-pixel supervision signals and (2) a novel image dewarping algorithm, which extends the state-of-the-art approach GeoTr to leverage structural templates using attention. Our extensive evaluation includes an implementation of DewarpNet and shows that exploiting structured templates can improve the performance for image dewarping. We report superior performance for the proposed algorithm on our new benchmark for all metrics, including an improved local distortion of 26.1 %. We made our new dataset and all code publicly available at https://felixhertlein.github.io/inv3d. TechnicalRemarks: Each sample contains the following files: "flat_document.png" (2200x1700x3, uint8, 0-255), showcasing a document in perfect condition. "flat_information_delta.png" displays all texts which represent invoice data (2200x1700x3, uint8, 0-255). "flat_template.png" is an empty invoice template (2200x1700x3, uint8, 0-255). "flat_text_mask.png" visually presents all texts shown in the given document (2200x1700x3, uint8, 0-255). "warped_angle.png" shows warping-induced x- and y-axis angle (1600x1600x2, float32, -Pi to Pi). "warped_albedo.png" is an albedo map (1600x1600x3, uint8, 0-255). "warped_BM.npz" stores backward mapping, i. e. the realtive pixel shift from warped to normalized image for each pixel shifts (1600x1600x2, float32, 0-1). "warped_curvature.npz" has pixel-wise curvature of the warped document (1600x1600x1, float32, 0-inf). "warped_depth.npz" holds per-pixel depth between camera and document (1600x1600x3, float32, 0-inf). "warped_document.png" displays the warped document (1600x1600x3, uint8, 0-255). "warped_normal.npz" contains warped document normals (1600x1600x3, float32, -inf to inf). "warped_recon.png" features a chess-textured warped document (1600x1600x3, uint8, 0-255). "warped_text_mask.npz" is a boolean text pixel mask (1600x1600x1, bool8, True/False). "warped_UV.npz" stores warped texture coordinates (1600x1600x3, float32, 0-1). "warped_WC.npz" includes document coordinates in the 3D space (1600x1600x3, float32, -inf to inf). For more details see https://github.com/FelixHertlein/inv3d-generator. Released under CC BY-NC-SA 4.0. Excluded files are listed in 'restricted-license-files.txt' (located in record with DOI 10.35097/1730, "Inv3D: a high-resolution 3D invoice dataset for template-driven Single-Image Document Unwarping - Metadata"). These are for academic use only.

  19. Global Document Control Software Market Size By Functionality, By Deployment...

    • verifiedmarketresearch.com
    Updated Jun 5, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Document Control Software Market Size By Functionality, By Deployment Mode, By Organization Size, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/document-control-software-market/
    Explore at:
    Dataset updated
    Jun 5, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2030
    Area covered
    Global
    Description

    Document Control Software Market size is growing at a moderate pace with substantial growth rates over the last few years and is estimated that the market will grow significantly in the forecasted period i.e. 2024 to 2030.

    Global Document Control Software Market Drivers

    The market drivers for the Document Control Software Market can be influenced by various factors. These may include:

    Growing Volume of Digital Documents: To effectively manage, organize, and secure electronic files, there is a growing demand for strong document control solutions due to the proliferation of digital documents across industries brought on by the shift to digital workflows, remote work trends, and the adoption of paperless processes.

    Strict Requirements for Regulatory Compliance: Businesses in a variety of industries, including as manufacturing, healthcare, and finance, must adhere to strict regulations governing data protection, document management, and compliance. Through the provision of safe access controls, audit trails, version control, and document tracking, document control software aids in ensuring regulatory compliance.

    Increased Need for Improved Collaboration and Remote Work Tools: As remote and distributed teams proliferate, there is an increasing need for document control software that facilitates smooth communication, sharing of documents, and instant access to data from any place or device. For remote workers, cloud-based document control solutions provide scalability, flexibility, and accessibility.

    Emphasis on Information Security and Data Protection: Organizations invest in document control software with strong security features, encryption capabilities, user authentication mechanisms, and role-based permissions to protect sensitive data due to worries about data breaches, cybersecurity threats, and unauthorized access to sensitive information.

    Enhancements in Productivity and Efficiency: Document control software automates workflow and improves productivity by streamlining document-centric operations like document generation, review, approval, and dissemination. Functions include document templates, revision tracking, and automated workflows lessen manual labor and improve company efficiency.

    Growing Adoption of Electronic Document Management Systems (EDMS): To cut down on paper use, storage expenses, and administrative burden, organizations are substituting electronic document management systems (EDMS) for more traditional paper-based document management systems. An essential part of an EDMS is document control software, which provides sophisticated capabilities for document indexing, searchability, and retrieval.

    Integration with Enterprise Applications: By facilitating smooth data exchange, process automation, and workflow integration throughout the organization's ecosystem, integration capabilities with enterprise applications, such as customer relationship management (CRM), enterprise resource planning (ERP), project management, and collaboration tools, improve the value proposition of document control software.

    Stress on Document Governance and Auditing: Upholding data correctness, integrity, and compliance with internal and external regulations all depend on effective document governance. To track changes, manage access, and prove regulatory compliance during audits and inspections, document control software offers audit trails, compliance reports, and document histories.

    The emergence of industry-specific document management solutions: These document control solutions are becoming more and more popular. They are adapted to the particular requirements and legal and regulatory frameworks of industries like healthcare, law, engineering, and construction. To meet sector-specific difficulties and compliance norms, these specialist solutions provide industry-specific features, templates, and workflows.

  20. h

    PolicyPro_dataset

    • huggingface.co
    + more versions
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    Whitney Osborn, PolicyPro_dataset [Dataset]. https://huggingface.co/datasets/quarkymatter/PolicyPro_dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Authors
    Whitney Osborn
    License

    https://choosealicense.com/licenses/llama3.1/https://choosealicense.com/licenses/llama3.1/

    Description

    Dataset Card for Dataset Name

    This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

      Dataset Details
    
    
    
    
    
      Dataset Description
    

    Curated by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Needed] Language(s) (NLP): [More Information Needed] License: [More Information Needed]

      Dataset Sources [optional]
    

    Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/quarkymatter/PolicyPro_dataset.

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City of Tempe (2023). Data Dictionary Template [Dataset]. https://catalog.data.gov/dataset/data-dictionary-template-2e170

Data from: Data Dictionary Template

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Dataset updated
Mar 18, 2023
Dataset provided by
City of Tempe
Description

Data Dictionary template for Tempe Open Data.

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