This dataset is comprised of a collection of example DMPs from a wide array of fields; obtained from a number of different sources outlined below. Data included/extracted from the examples include the discipline and field of study, author, institutional affiliation and funding information, location, date created, title, research and data-type, description of project, link to the DMP, and where possible external links to related publications or grant pages. This CSV document serves as the content for a McMaster Data Management Plan (DMP) Database as part of the Research Data Management (RDM) Services website, located at https://u.mcmaster.ca/dmps. Other universities and organizations are encouraged to link to the DMP Database or use this dataset as the content for their own DMP Database. This dataset will be updated regularly to include new additions and will be versioned as such. We are gathering submissions at https://u.mcmaster.ca/submit-a-dmp to continue to expand the collection.

This template is for recording genome data from the NimbleGen platform. This template was taken from the GEO website (http://www.ncbi.nlm.nih.gov/geo/info/spreadsheet.html) and modified to conform to the SysMO-JERM (Just enough Results Model) for transcriptomics. Using these templates will mean easier submission to GEO/ArrayExpress and greater consistency of data in SEEK.

Images for the website template go here. It will not change their names or locations, but will hopefully help to organize them. Oh, but for a directory structure...

Geoform is a configurable app template for form based data editing of a Feature Service. This application allows users to enter data through a form instead of a map's pop-up while leveraging the power of the Web Map and editable Feature Services. This app geo-enables data and workflows by lowering the barrier of entry for completing simple tasks. Use CasesProvides a form-based experience for entering data through a form instead of a map pop-up. This is a good choice for users who find forms a more intuitive format than pop-ups for entering data.Useful to collect new point data from a large audience of non technical staff or members of the community.Configurable OptionsGeoform has an interactive builder used to configure the app in a step-by-step process. Use Geoform to collect new point data and configure it using the following options:Choose a web map and the editable layer(s) to be used for collection.Provide a title, logo image, and form instructions/details.Control and choose what attribute fields will be present in the form. Customize how they appear in the form, the order they appear in, and add hint text.Select from over 15 different layout themes.Choose the display field that will be used for sorting when viewing submitted entries.Enable offline support, social media sharing, default map extent, locate on load, and a basemap toggle button.Choose which locate methods are available in the form, including: current location, search, latitude and longitude, USNG coordinates, MGRS coordinates, and UTM coordinates.Supported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsThis web app includes the capability to edit a hosted feature service or an ArcGIS Server feature service. Creating hosted feature services requires an ArcGIS Online organizational subscription or an ArcGIS Developer account. Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a map and choose to Create a Web AppOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.

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Website Builder Software Market Size 2024-2028

The website builder software market size is forecast to increase by USD 612.2 million at a CAGR of 5.1% between 2023 and 2028.

The market is experiencing significant growth due to the increasing importance of online branding for businesses. Functional websites have become essential for organizations to reach a wider audience and facilitate digital transformation. Cloud-based platforms and web development tools enable the creation of mobile-responsive designs, ensuring accessibility on various devices. AI applications integrated into website builders streamline various processes, such as big data analytics, media and entertainment, retail, and e-commerce. Website templates offer affordable website solutions, making it easier for businesses to establish an online presence. 
Moreover, the advancement of technology, including the AI revolution in website building, enhances the user experience. Open source options provide flexibility and customization opportunities. Website maintenance and security are crucial aspects, with cloud-based platforms offering reliable solutions to mitigate risks. In summary, the market is thriving, driven by the need for functional and secure online branding solutions.

What will be the Size of the Website Builder Software Market During the Forecast Period?

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Website builders have emerged as essential tools In the digital evolution, empowering businesses to create engaging websites and establish a strong online presence. These solutions facilitate digital adoption by individuals and organizations, enabling them to code and develop websites without extensive programming skills. In the context of the current business landscape, the integration of Artificial Intelligence (AI) infrastructure into website builders has become a significant trend. These applications include real-time data processing, NLP, video recognition, and parallel processing. By utilizing AI infrastructure, businesses can enhance their brand identity and optimize their online presence. Versatility and Sustainability: Website builders with AI capabilities offer versatility, allowing businesses to leverage advanced technologies without requiring specialized expertise. Moreover, the integration of AI chips and inference chips In these solutions ensures energy efficiency and reduced energy costs. Deep learning models and matrix multiplications are essential components of AI infrastructure. They enable website builders to provide advanced features such as personalized user experiences, predictive analytics, and automated content generation.
These capabilities can significantly improve user engagement and conversion rates. Cloud computing and parallel processing are essential technologies that support the integration of AI infrastructure into website builders. They facilitate efficient data-intensive computing and real-time processing, ensuring that businesses can quickly respond to market trends and customer demands. The integration of AI infrastructure into website builders has a profound impact on media, entertainment, retail, and e-commerce industries. For instance, media and entertainment companies can use AI to analyze user preferences and provide personalized content recommendations. Retailers can optimize their inventory management and offer personalized product recommendations based on user behavior. E-commerce platforms can leverage AI to enhance their search functionality and provide more accurate and relevant results. Website builders with AI infrastructure represent a significant advancement in digital evolution, enabling businesses to create engaging websites, optimize their online presence, and leverage advanced technologies without requiring specialized expertise. By integrating deep learning models, matrix multiplications, cloud computing, and parallel processing, these solutions offer versatility, sustainability, and significant improvements in user engagement and conversion rates. As businesses continue to adopt digital technologies, the role of AI-enabled website builders will become increasingly essential.

How is this Website Builder Software Industry segmented and which is the largest segment?

The website builder software industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Deployment

  Cloud-based
  On-premises


End-user

  Commercial
  Individual


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy


  APAC

    China
    India
    Japan


  South America

    Brazil


  Middle East and Africa

By Deployment Insights

The cloud-based segment is estimated to witness significant growth during the forecast period

Images for the website template go here. It will not change their names or locations, but will hopefully help to organize them. Oh, but for a directory structure...

The Reviewing Data for Online Delivery webinar covers topics on data delivery problems, the use of the templates and specifics about their worksheets, a brief review of the Identifiers and URIs, and a review on the metadata for the data sets. The webinar also includes an overview of the geochemistry template. The AZGS takes a look at the new face of the State Geothermal Data website and its features.

Polish Wikipedia articles with "Cite web" templates linking to celebrity gossip blogs and websites.

This data set begins the process to collect the inventory data on small bridge and large pipe structures greater than 6 feet and less than or equal to 20 feet in span length, as measured along the roadway required by the current state budget. Locations must be field verified and basic structure data gathered. Data from this data set can be downloaded from the WisDOT Open GIS Data website, filtered for the specific county or municipality doing the inventory. Data can be downloaded as a CSV, KML or shape files depending on the end user's capabilities to view and use the data. Once downloaded, the locations must be field verified and updated using the Excel template spreadsheet provided by BOS. Word and PDF documents have also been created for those that prefer printed copies or for structures that are not included in the data set provided. Templates and other inventory guidance can be found on the Bureau of Structures (BOS) Website using the following link: BOS Maintenance Website.All found structures shall be consolidated into a single template spreadsheet by the county commissioners, using the provided headings and data lists in the template spreadsheet. Once complete, this spreadsheet will be uploaded into the HSIS database, training on this process will be provided by BOS. It is critical that for this initial inventory, only fields shown on the template are used to allow for efficient transfer of data into HSIS. Any critical findings or serious concerns regarding structures found shall be immediately forwarded to the structure's owner so issues can be addressed.These templates are for inventory data only. Inspection data will be manually entered into HSIS at a later date.

This Excel template is an example taken from the GEO web site (http://www.ncbi.nlm.nih.gov/geo/info/spreadsheet.html#GAtemplates) which has been modified to conform to the SysMO JERM (Just Enough Results Model). Using templates helps with searching and comparing data as well as making it easier to submit data to public repositories for publications.

Abstract copyright UK Data Service and data collection copyright owner.

Renaissance was the Museums, Libraries and Archives Council's (MLA) programme to transform England's regional museums. The programme has received over £300 million since 2002 which has been allocated across nine regional museum hubs. Regional museum hubs are a cluster of four-five museums which receive government investment in order to develop as centres of excellence and as leaders of their regional museum communities.

MLA has been gathering data from the nine regional museum hubs from 2002-2003 to 2007-2008. The Renaissance Data Collection is a quarterly return of data from each site participating in the Renaissance in the Regions Programme. The data returns contain information on numbers of: visits; priority group visits; child visits; website visits; school visits; Higher Education visits; adult and child on-site participation; and outreach activity. The data returns support Programme management and monitoring and forms the basis of the Renaissance Museums Performance Indicator statistical series.

From the 30th June 2011, the regional Renaissance hub structure ceases to exist. 2011-12 is a transitional year for Renaissance, in which £37.6 million of grant funding, previously known as museum hub funding, has been made available instead directly to 45 museum services.

Further information about Renaissance can be found on the MLA's Renaissance Data Collection web page.

Main Topics:
Data were recorded by hubs and submitted to the MLA on a quarterly basis, following a financial year cycle e.g. Q1 (April to June).

Data were submitted in an Excel workbook (Data Collection Template) that consists of six worksheets, covering six different areas of museums activity:

• Template 1: number of self-directed visits by children and young people in formal education
• Template 2: number of facilitated visits by children and young people in formal education
• Template 3: number of instances of children, young people and adults participating in museums’ outreach activities
• Template 4: number of instances of teachers in contact with museums
• Template 5: number of instances of children, young people and adults participating in organised activities at museums
• Template 6: visits, child visits, web visits and loan venues

Within each template there are a number of different measures, with hubs reporting on a total of 67 performance indicators. A breakdown of each template measure and accompanying guidelines can be found in the Audience Data Collection Manual 2008.

Geospatial collaboratives are inherently multi-organizational. When organizations integrate their geospatial infrastructure, they can quickly and easily interconnect across borders, jurisdictions, and sectors to address shared challenges. The term ‘OneMap’ is a placeholder for your community GIS branding. Whether you call your initiative a Spatial Data Infrastructure (SDI), Open Data, Digital Twin, Knowledge Infrastructure, Digital Ecosystem, distributed GIS, or otherwise, collaboration is key.

View Hub ExamplesExplore the Essential Guides for 'OneMap' AdministratorsGet the 'OneMap' ArcGIS Hub template

The 'OneMap' concept is multi-organizational. The website is designed to help communities of practice integrate your geospatial infrastructure (modern SDI). Use it to foster sharing of data among partners; provide a focus on thematic topics and foundational data; and reciprocate value with your contributing partners.

This item is available to ArcGIS Hub Basic and Premium licensed organizations.

Images for the website main pages and all configurations. The upload and access points for the other images are: Website Template RSW images BSCW Images HIRENASD Images

BIMS, the Breeding Information Management System, is a secure and comprehensive online breeding management system developed for the generic Tripal Database Platform which allows breeders to store, manage, archive and analyze their private breeding program. Breeders can load data in templates provided as well as output from the Field Book App, an android app for collecting phenotype data. In addition to the private breeders BIMS, users without accounts can also view the publicly available breeding data. The fully developed version will allow users to:

Fully integrate their data with publicly available genomic, genetic and breeding data in the community database.

Utilize their integrated pedigree, phenotype and genotype data in performing genomic analysis and making breeding decisions.

Use open-source new genomics tool and breeding decision tools with seamless access to HPC. Resources in this dataset:Resource Title: Website Pointer for CottonGen BIMS (Breeding Information Management System). File Name: Web Page, url: https://www.cottongen.org/bims BIMS, the Breeding Information Management System, is a secure and comprehensive online breeding management system developed for the generic Tripal Database Platform which allows breeders to store, manage, archive and analyze their private breeding program. Breeders can load data in templates provided as well as output from the Field Book App, an android app for collecting phenotype data. In addition to the private breeders BIMS users without accounts can also view the publicly available breeding data. The fully developed version will allow users to:

Fully integrate their data with publicly available genomic, genetic and breeding data in the community database

Utilize their integrated pedigree, phenotype and genotype data in performing genomic analysis and making breeding decisions.

Use open-source new genomics tool and breeding decision tools with seamless access to HPC.

The datawagovautheme extension for CKAN provides custom styling and functionality tailored specifically for data.wa.gov.au. This extension focuses on aligning the CKAN instance's appearance with the data.wa.gov.au website, incorporating a custom metadata schema, and implementing custom templates for enhanced user experience. By customizing the look and feel and data structure, it aims to deliver a branded and streamlined data portal. Key Features: Custom Stylesheet: Implements a custom stylesheet designed to match the visual style of data.wa.gov.au, based on the readysteadygov template, ensuring a consistent user experience. Custom Metadata Schema: Introduces a custom metadata schema for datasets (intended to be used with ckanext-scheming), allowing for more structured and relevant data organization and search capabilities specific to data.wa.gov.au's needs. Custom Templates: Offers custom templates for elements such as geospatial coverage previews and page headers, potentially improving the display and interaction with datasets containing geospatial information and enhancing the overall user interface. Technical Integration: The extension customizes CKAN's user interface and data handling by overriding default templates and incorporating a custom stylesheet. It likely integrates using CKAN's plugin architecture to register new templates and stylesheets.The specified use of ckanext-scheming implies that the custom metadata schema is implemented through CKAN's flexible schema management capabilities, allowing administrators to define required and optional fields for datasets. Benefits & Impact: The datawagovautheme extension provides a visually consistent and branded data portal experience for users of data.wa.gov.au. The custom metadata schema ensures that datasets are described using terminology and fields relevant to the Western Australian government's data practices. The custom templates, specifically for geospatial data, enhance data discoverability and usability making the data provided more useful for data consumers.

General Accessibility Creative Commons All data products available from the data hub are provided on an 'as is' basis. The City of Sydney (City) makes no warranty, representation or guarantee of any …Show full descriptionGeneral Accessibility Creative Commons All data products available from the data hub are provided on an 'as is' basis. The City of Sydney (City) makes no warranty, representation or guarantee of any type as to any errors and omissions, or as to the content, accuracy, timeliness, completeness or fitness for any particular purpose or use of any data product available from the data hub. If you find any information that you believe may be inaccurate, please email the City. In addition, please note that the data products available from the data hub are not intended to constitute advice and must not be used as a substitute for professional advice. The City may modify the data products available from the data hub and/or discontinue providing any or all of data products at any time and for any reason, without notice. Accordingly, the City recommends that you regularly check the data hub to ensure that the latest version of data products is used. The City recommends that when accessing data sets, you use APIs. We are committed to making our website as accessible and user-friendly as possible. Web Content Accessibility Guidelines (WCAG) cover a wide set of recommendations to make websites accessible. For more information on WCAG please visit https://www.w3.org/TR/WCAG21/ . This site is built using Esri's ArcGIS Hubs template, and their Accessibility status report is available online at https://hub.arcgis.com/pages/a11y. We create the maps and stories on this site using ArcGIS templates, each template having accessibility features. Examples include Instant Apps, Story maps, and Webapp builder. If you would like to request alternative formats for data products on this site please email the City. We encourage developers using our data to deliver maps and applications with consideration to accessibility for all. Design elements can include colour, contrast, symbol size and style, font size and style, basemap style, alternate text for images, and captions for video and audio. Alternative content such as static maps may sometimes be required. Unless otherwise stated, data products available from the data hub are published under Creative Commons licences. Creative Commons licences include terms and conditions about how licensed data products may be used, shared and/or adapted. Depending on the applicable licence, licensed data products may or may not be used for commercial purposes. The applicable Creative Commons licence for specific data is specified in the "Licence" section of the data description. By accessing, sharing and/or adapting licensed data products, you are deemed to have accepted the terms and conditions of the applicable Creative Common licence. For more information about Creative Commons licences, please visit https://creativecommons.org.au/ and https://creativecommons.org/faq/ If you believe that the applicable Creative Commons licence for the data product that you wish to use is overly restrictive for how you would like to use the data product, please email the City. Contact If you have a question, comments, or requests for interactive maps and data, we would love to hear from you. Council business For information on rates, development applications, strategies, reports and other council business, see the City of Sydney's main website.

Geospatial collaboratives are inherently multi-organizational. When organizations integrate their geospatial infrastructure, they can quickly and easily interconnect across borders, jurisdictions, and sectors to address shared challenges. The term ‘OneMap’ is a placeholder for your community GIS branding. Whether you call your initiative a Spatial Data Infrastructure (SDI), Open Data, Digital Twin, Knowledge Infrastructure, Digital Ecosystem, distributed GIS, or otherwise, collaboration is key.

View Hub ExamplesExplore the Essential Guides for 'OneMap' AdministratorsGet the 'OneMap' ArcGIS Hub template

The 'OneMap' concept is multi-organizational. The website is designed to help communities of practice integrate your geospatial infrastructure (modern SDI). Use it to foster sharing of data among partners; provide a focus on thematic topics and foundational data; and reciprocate value with your contributing partners.

This item is available to ArcGIS Hub Basic and Premium licensed organizations.

An example of a JERM-compliant template for RT-PCR data

This template was taken from the GEO website (http://www.ncbi.nlm.nih.gov/geo/info/spreadsheet.html) and modified to conform to the SysMO-JERM (Just enough Results Model) for transcriptomics.

The service published from this template for deployment to the GW Public Website. It includes current Public Transport Routes as extracted and processed from the Google Transit Feed available on the Metlink website and current Public Transport Stops as extracted and processed from the Metlink Database. PT routes last updated in August 2021, PT stops updated Sept 2021.

Today, there is a proliferation of tools to meet the growing and evolving needs of professional designers. However, professional designers are not the only people participating in design. Novice designers are also increasingly taking part by creating flyers, websites, and presentations, but are forced to do so using either professional design tools or simplistic template-based tools. There exists an opportunity with these users to create design tools that cater to their specific abilities and tasks. In this dissertation, I describe some fundamental work I undertook to understand novices' ability to recognize visual appeal. I then discuss four different design tools I developed to assist novices in their creative tasks.

The first of these tools, Poirot, a web inspector tool, was built to help designers make changes to websites as they complete their work as novice end-user programmers. In an evaluation of Poirot compared to Chrome DevTools, Poirot led to higher task completion rates, faster task completion times, a lower perceived cognitive load, and was preferred by designers.

The three remaining tools are a series of user-steered, generative design tools, a new category of visual design tools that attempt to combine the natural abilities of novice designers with the power of computational design. The purpose of these tools is to allow novice designers to take greater part in the design process, experience an increase in their perceived creativity, and produce unique, high-quality designs all without increasing the burden of using the design tool. We formally evaluated the final of these design tools, DesignQ, a user-steered, generative design tool for creating flyers. Compared to Canva—a popular novice flyer design tool— novice designers felt better supported in their creative flyer design task and their perceived cognitive load was lower when using DesignQ, while there was no significant difference in the quality of the designs produced.