100+ datasets found
  1. c

    Data from: Automating Data Sharing Through Authoring Tools

    • kilthub.cmu.edu
    • figshare.com
    pdf
    Updated Oct 29, 2017
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    John Kitchin; Ana Van Gulick; Lisa Zilinski (2017). Automating Data Sharing Through Authoring Tools [Dataset]. http://doi.org/10.1184/R1/5549281.v1
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    pdfAvailable download formats
    Dataset updated
    Oct 29, 2017
    Dataset provided by
    Carnegie Mellon University
    Authors
    John Kitchin; Ana Van Gulick; Lisa Zilinski
    License

    http://rightsstatements.org/vocab/InC/1.0/http://rightsstatements.org/vocab/InC/1.0/

    Description

    In the current scientific publishing landscape, there is a need for an authoring workflow that easily integrates data and code into manuscripts and that enables the data and code to be published in reusable form. Automated embedding of data and code into published output will enable superior communication and data archiving. In this work, we demonstrate a proof of concept for a workflow, org-mode, which successfully provides this authoring capability and workflow integration. We illustrate this concept in a series of examples for potential uses of this workflow. First, we use data on citation counts to compute the h-index of an author, and show two code examples for calculating the h-index. The source for each example is automatically embedded in the PDF during the export of the document. We demonstrate how data can be embedded in image files, which themselves are embedded in the document. Finally, metadata about the embedded files can be automatically included in the exported PDF, and accessed by computer programs. In our customized export, we embedded metadata about the attached files in the PDF in an Info field. A computer program could parse this output to get a list of embedded files and carry out analyses on them. Authoring tools such as Emacs + org-mode can greatly facilitate the integration of data and code into technical writing. These tools can also automate the embedding of data into document formats intended for consumption.

  2. D

    MAP Data Authoring And Validation Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). MAP Data Authoring And Validation Market Research Report 2033 [Dataset]. https://dataintelo.com/report/map-data-authoring-and-validation-market
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    csv, pptx, pdfAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    MAP Data Authoring and Validation Market Outlook




    According to our latest research, the global MAP Data Authoring and Validation market size reached USD 2.47 billion in 2024, propelled by the increasing demand for accurate geospatial data across numerous industries. The market is experiencing robust growth, with a CAGR of 13.2% anticipated from 2025 to 2033, projecting the market to reach USD 7.23 billion by 2033. This surge is primarily driven by the proliferation of smart city projects, autonomous vehicle development, and the integration of advanced mapping solutions in various sectors, as per our most recent analysis.




    One of the most significant growth factors for the MAP Data Authoring and Validation market is the escalating adoption of location-based services and real-time navigation systems. Industries such as automotive, telecommunications, and urban planning are increasingly reliant on precise mapping data to enable advanced functionalities, including autonomous driving, network planning, and infrastructure development. The evolution of smart transportation and the need for enhanced situational awareness in both civilian and defense sectors further amplify the demand for high-quality map data. Additionally, the integration of artificial intelligence and machine learning algorithms in map data authoring processes has significantly improved the accuracy and speed of data validation, making these solutions indispensable for organizations aiming to maintain a competitive edge in a data-driven landscape.




    Another prominent driver is the growing importance of geographic information systems (GIS) in decision-making processes across multiple verticals. As businesses and governments increasingly leverage spatial data analytics for strategic planning, the need for robust map data authoring and validation tools has surged. The expansion of 5G networks and the Internet of Things (IoT) ecosystem has also necessitated the deployment of detailed and up-to-date geospatial datasets to optimize network performance and resource allocation. Furthermore, regulatory frameworks mandating the use of accurate geospatial data for safety and compliance purposes in sectors such as aviation and maritime are fueling the adoption of advanced map data validation solutions.




    The market is also witnessing substantial investments in research and development aimed at enhancing the capabilities of map data authoring platforms. Technological advancements, such as cloud-based geospatial data management and the incorporation of real-time data feeds from satellites, drones, and sensors, are transforming the landscape of map data creation and validation. These innovations facilitate the generation of high-resolution, dynamic maps that are critical for applications ranging from urban mobility to environmental monitoring. As the complexity and volume of geospatial data continue to grow, the demand for scalable and automated map data authoring and validation solutions is expected to escalate, further accelerating market expansion.




    Regionally, North America continues to dominate the MAP Data Authoring and Validation market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The presence of leading technology providers, high adoption rates of advanced mapping solutions, and substantial investments in smart infrastructure projects are key factors driving regional growth. Asia Pacific, in particular, is emerging as a high-growth region, fueled by rapid urbanization, government initiatives to digitize infrastructure, and the expansion of automotive and telecommunications sectors. Meanwhile, Europe’s focus on sustainable urban development and stringent regulatory standards for geospatial data accuracy further bolster market prospects in the region. Latin America and the Middle East & Africa, while currently accounting for smaller shares, are expected to witness increased adoption of map data solutions as digital transformation initiatives gain momentum.



    Component Analysis




    The MAP Data Authoring and Validation market is segmented by component into Software and Services, each playing a pivotal role in the ecosystem. Software solutions form the backbone of map data authoring and validation, offering robust platforms for data creation, editing, and verification. These tools leverage advanced algorithms, machine learning, and artificial intelligence to streamline the proce

  3. G

    MAP Data Authoring and Validation Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 4, 2025
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    Growth Market Reports (2025). MAP Data Authoring and Validation Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/map-data-authoring-and-validation-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    MAP Data Authoring and Validation Market Outlook



    According to our latest research, the global MAP Data Authoring and Validation market size in 2024 is valued at USD 4.28 billion, reflecting the rapidly increasing demand for accurate mapping data across multiple industries. The market is experiencing a robust growth trajectory, with a recorded CAGR of 13.2% from 2025 to 2033. By 2033, the MAP Data Authoring and Validation market is forecasted to reach an impressive USD 12.42 billion. This growth is primarily driven by the proliferation of autonomous vehicles, smart city initiatives, and the critical importance of precise geospatial data in modern applications, as per our latest research findings.




    The MAP Data Authoring and Validation market is witnessing exponential expansion due to the escalating integration of advanced mapping solutions in the automotive and transportation sectors. The surge in demand for autonomous vehicles and connected mobility solutions necessitates highly accurate and real-time map data, which, in turn, propels the adoption of authoring and validation tools. Furthermore, the evolution of smart cities and IoT-enabled urban infrastructure is generating an unprecedented need for reliable geospatial data to optimize city planning, utility management, and emergency response systems. These factors collectively contribute to the sustained growth of the market, as organizations increasingly prioritize data accuracy, consistency, and validation to enhance operational efficiency and decision-making processes.




    Another significant growth factor for the MAP Data Authoring and Validation market is the rapid digital transformation across industries, particularly in logistics, utilities, and government sectors. The shift towards digital workflows and automation, coupled with regulatory mandates for accurate geospatial information, is compelling enterprises to invest in sophisticated software and services for map data creation and validation. Additionally, the rise of location-based services, mobile mapping applications, and real-time navigation solutions is accelerating the market’s momentum. The growing adoption of cloud-based platforms further amplifies accessibility and scalability, enabling organizations to manage large volumes of spatial data efficiently while ensuring compliance with evolving data standards.




    Technological advancements are also playing a pivotal role in driving the MAP Data Authoring and Validation market. The integration of artificial intelligence, machine learning, and big data analytics into mapping solutions is enhancing the precision, automation, and speed of data authoring and validation processes. These technologies facilitate the rapid detection and correction of errors, automate data enrichment, and enable predictive analytics for proactive decision-making. Moreover, the increasing interoperability of mapping platforms with other enterprise systems, such as ERP and GIS, is unlocking new opportunities for cross-functional data utilization and business intelligence. As industries continue to embrace digital innovation, the demand for advanced MAP Data Authoring and Validation solutions is expected to accelerate further.




    From a regional perspective, the MAP Data Authoring and Validation market exhibits robust growth across North America, Europe, and Asia Pacific, with North America currently holding the largest market share. The region’s dominance is attributed to the early adoption of advanced mapping technologies, strong presence of automotive and technology giants, and significant investments in smart infrastructure projects. Europe follows closely, driven by stringent regulatory frameworks and a thriving automotive sector. Meanwhile, Asia Pacific is emerging as the fastest-growing region, fueled by rapid urbanization, expanding transportation networks, and government-led digitalization initiatives. Latin America and the Middle East & Africa are also witnessing steady growth, albeit at a more measured pace, as regional players increase their focus on geospatial data management and smart city development.



    &

  4. TREC Authoring Tools for Multimedia Content (AToMiC) Track 2023

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Jul 9, 2025
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    National Institute of Standards and Technology (2025). TREC Authoring Tools for Multimedia Content (AToMiC) Track 2023 [Dataset]. https://catalog.data.gov/dataset/authoring-tools-for-multimedia-content-atomic-track-2023
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    Dataset updated
    Jul 9, 2025
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    Individual user responsibility: working data, derived data Data must be backed up using a tested/automated process: working data, derived data; published data resource data Not available to the public: working data; derived data Made available to the public as described below: Published data and Resource dataThe Authoring Tools for Multimedia Content (AToMiC) Track aims to build reliable benchmarks for multimedia search systems. The focus of this track is to develop and evaluate IR techniques for text-to-image and image-to-text search problems.

  5. G

    Safety Data Sheet Authoring Software Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 22, 2025
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    Growth Market Reports (2025). Safety Data Sheet Authoring Software Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/safety-data-sheet-authoring-software-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Aug 22, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Safety Data Sheet Authoring Software Market Outlook



    As per our latest research, the global Safety Data Sheet (SDS) Authoring Software market size reached USD 1.38 billion in 2024. The market is demonstrating robust expansion, registering a CAGR of 7.2% from 2025 to 2033. By the end of 2033, the market is forecasted to achieve a value of USD 2.61 billion. This significant growth is primarily fueled by the increasing regulatory requirements for chemical safety documentation, the growing complexity of compliance across international borders, and the rising adoption of digital solutions for environmental health and safety management.




    One of the primary growth drivers for the Safety Data Sheet (SDS) Authoring Software market is the tightening of global regulatory frameworks governing chemical management and workplace safety. Governments and regulatory bodies such as OSHA, REACH, and GHS have introduced stringent mandates for companies to maintain accurate, up-to-date safety data sheets. This has led to a surge in demand for automated and reliable SDS authoring solutions, particularly among industries with complex supply chains and frequent product reformulations. As organizations strive to avoid costly compliance violations and ensure worker safety, the adoption of advanced SDS authoring software has become a strategic necessity, thereby propelling market growth.




    The proliferation of digital transformation initiatives across industries is another critical factor accelerating market expansion. Enterprises are increasingly integrating SDS authoring software with broader Environmental, Health, and Safety (EHS) management platforms to streamline compliance processes, reduce manual errors, and enhance operational efficiency. The shift towards cloud-based deployments has further democratized access to sophisticated SDS authoring tools, making them accessible to small and medium enterprises (SMEs) that previously relied on manual or semi-automated processes. This democratization is not only expanding the market’s customer base but also driving innovation in software features, such as automated regulatory updates, multilingual support, and seamless integration with enterprise resource planning (ERP) systems.




    Moreover, the growing emphasis on sustainability and corporate social responsibility is compelling organizations to adopt proactive chemical management practices. With increasing public scrutiny and stakeholder expectations, companies are investing in SDS authoring software to demonstrate transparency, reduce environmental risks, and support green supply chain initiatives. The ability of modern SDS software to provide real-time insights, automate documentation, and facilitate cross-border compliance is particularly valuable in industries such as pharmaceuticals, oil & gas, and agriculture, where regulatory landscapes are highly dynamic and complex.




    From a regional perspective, North America continues to dominate the SDS Authoring Software market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The presence of stringent regulatory mandates, a mature compliance culture, and a high concentration of chemical and manufacturing industries are key factors driving market leadership in these regions. Meanwhile, emerging economies in Asia Pacific are witnessing rapid adoption of SDS authoring solutions, fueled by industrialization, export-driven growth, and evolving regulatory environments. Latin America and the Middle East & Africa, although currently representing smaller market shares, are expected to register above-average growth rates over the forecast period as regulatory enforcement intensifies and digital infrastructure improves.





    Component Analysis



    The Component segment of the SDS Authoring Software market is bifurcated into software and services, each playing a pivotal role in ensuring comprehensive compliance and user adoption. The software sub-segment constitutes the

  6. C

    Course Authoring Tools Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Dec 23, 2024
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    Data Insights Market (2024). Course Authoring Tools Report [Dataset]. https://www.datainsightsmarket.com/reports/course-authoring-tools-1434294
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Dec 23, 2024
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global course authoring tools market size is estimated to reach USD X.X million in 2023 and is projected to grow at a CAGR of X.X% from 2023 to 2033. The market is driven by factors such as the increasing demand for online learning, the need for effective and engaging learning content, and the growing adoption of cloud-based solutions. Key market trends include the rising popularity of mobile learning, the integration of artificial intelligence (AI) into course authoring tools, and the increasing demand for personalized learning experiences. The market is segmented by application into small and medium-sized businesses (SMBs) and large businesses, and by type into cloud-based and on-premises solutions. The cloud-based segment is expected to grow at a higher rate during the forecast period, due to its benefits such as lower cost, increased flexibility, and scalability. The region with the largest market share is North America, followed by Europe and Asia-Pacific.

  7. R

    MAP Data Authoring and Validation Market Research Report 2033

    • researchintelo.com
    csv, pdf, pptx
    Updated Oct 1, 2025
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    Research Intelo (2025). MAP Data Authoring and Validation Market Research Report 2033 [Dataset]. https://researchintelo.com/report/map-data-authoring-and-validation-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    Research Intelo
    License

    https://researchintelo.com/privacy-and-policyhttps://researchintelo.com/privacy-and-policy

    Time period covered
    2024 - 2033
    Area covered
    Global
    Description

    MAP Data Authoring and Validation Market Outlook



    According to our latest research, the Global MAP Data Authoring and Validation market size was valued at $2.1 billion in 2024 and is projected to reach $6.4 billion by 2033, expanding at a robust CAGR of 13.2% during the forecast period of 2025–2033. The primary driver behind this impressive growth trajectory is the accelerated integration of advanced geospatial technologies and artificial intelligence in navigation, transportation, and urban planning sectors worldwide. As industries increasingly depend on real-time, high-precision mapping solutions for operational efficiency and safety, the demand for sophisticated MAP data authoring and validation tools is surging, reshaping traditional workflows and setting new benchmarks for data reliability and accuracy.



    Regional Outlook



    North America currently commands the largest share of the MAP Data Authoring and Validation market, accounting for approximately 38% of global revenues in 2024. This region’s dominance is underpinned by the presence of leading technology providers, a mature automotive ecosystem, and substantial investments in smart infrastructure projects. The United States, in particular, has witnessed widespread adoption of autonomous vehicle technologies and connected mobility solutions, both of which rely heavily on meticulously authored and validated map data. Moreover, supportive regulatory frameworks and public-private partnerships have accelerated the deployment of next-generation mapping systems across transportation and government sectors, ensuring North America’s continued leadership in this domain.



    Asia Pacific is emerging as the fastest-growing region in the MAP Data Authoring and Validation market, with a projected CAGR of 17.6% from 2025 to 2033. The region’s rapid expansion is fueled by the proliferation of smart city initiatives, burgeoning e-commerce logistics, and surging demand for advanced fleet management solutions. Countries such as China, Japan, and India are making significant investments in digital infrastructure, fostering innovation in automotive navigation and urban mobility. The adoption of cloud-based mapping platforms, coupled with strategic collaborations between local governments and technology firms, is further accelerating market growth. As a result, Asia Pacific is poised to narrow the gap with established markets and become a pivotal hub for MAP data innovation and deployment.



    In contrast, emerging economies in Latin America and the Middle East & Africa are experiencing a steady, albeit slower, uptake of MAP data authoring and validation solutions. While these regions present considerable growth opportunities due to expanding transportation networks and urban development projects, several challenges persist. Limited access to high-quality geospatial datasets, inconsistent regulatory standards, and constrained technology budgets are notable barriers. However, localized demand for improved fleet management, public safety, and utility services is gradually driving adoption. Regional policy reforms aimed at digital transformation and increased foreign investment in infrastructure are expected to alleviate some of these challenges, paving the way for sustained, long-term growth.



    Report Scope






    Attributes Details
    Report Title MAP Data Authoring and Validation Market Research Report 2033
    By Component Software, Services
    By Application Automotive Navigation, Fleet Management, Urban Planning, Transportation & Logistics, Others
    By Deployment Mode On-Premises, Cloud
    By End-User Automotive, Government & Public Sector, Transportation & Logistics, Utilities, Others
    Regions Covered North America, Europe, As

  8. OSCAL Catalog Authoring Tool

    • catalog.data.gov
    Updated Sep 30, 2025
    + more versions
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    National Institute of Standards and Technology (2025). OSCAL Catalog Authoring Tool [Dataset]. https://catalog.data.gov/dataset/oscal-catalog-authoring-tool
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    Dataset updated
    Sep 30, 2025
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    The OSCAL Catalog Authoring Tool (CAT) enables users to create, scope, tailor control catalogs by creating OSCAL Profiles in JSON format and subsequently create new catalogs using profile resolution.

  9. D

    Safety Data Sheet Authoring Software Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Safety Data Sheet Authoring Software Market Research Report 2033 [Dataset]. https://dataintelo.com/report/safety-data-sheet-authoring-software-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Safety Data Sheet Authoring Software Market Outlook



    According to our latest research, the global Safety Data Sheet (SDS) Authoring Software market size reached USD 1.37 billion in 2024, driven by stringent regulatory compliance requirements and the growing complexity of chemical management across industries. The market is expected to expand at a CAGR of 7.8% from 2025 to 2033, reaching a forecasted value of USD 2.68 billion by 2033. This robust growth is primarily attributed to the increasing adoption of digital solutions for safety documentation, growing awareness regarding workplace safety, and the expanding footprint of industries such as chemicals, pharmaceuticals, and manufacturing globally.




    One of the primary growth factors for the Safety Data Sheet (SDS) Authoring Software market is the intensification of regulatory frameworks worldwide. Governments and international agencies such as OSHA, REACH, and GHS are mandating strict adherence to safety data sheet standards, compelling organizations to adopt advanced authoring solutions. These regulations are evolving rapidly, requiring companies to update their documentation frequently and ensure accuracy in hazard communication. The ability of SDS authoring software to automate compliance, streamline updates, and provide multi-lingual, globally harmonized documentation is a decisive factor propelling market expansion. As regulatory scrutiny grows, businesses are increasingly investing in robust software solutions to mitigate risks, avoid penalties, and maintain operational transparency.




    Another significant driver is the digital transformation sweeping across the industrial landscape. As enterprises modernize their operations, the demand for integrated EHS (Environment, Health, and Safety) platforms is surging, with SDS authoring software playing a pivotal role. These platforms offer seamless integration with supply chain management, inventory control, and risk assessment tools, enhancing overall operational efficiency. The adoption of cloud-based SDS authoring solutions further accelerates this trend by enabling real-time collaboration, centralized data management, and remote accessibility. Additionally, the rise of Industry 4.0 and the proliferation of IoT devices in manufacturing and processing plants are fostering the need for dynamic, data-driven safety documentation, fueling further market growth.




    The Safety Data Sheet (SDS) Authoring Software market is also benefiting from heightened corporate focus on sustainability and social responsibility. Companies are under increasing pressure to demonstrate proactive risk management and transparent chemical safety practices to stakeholders, customers, and regulatory bodies. SDS authoring software enables organizations to efficiently document and communicate hazards, facilitate employee training, and ensure safe handling, storage, and disposal of chemicals. This not only enhances corporate reputation but also minimizes liabilities and fosters a culture of safety. As ESG (Environmental, Social, and Governance) criteria gain prominence in investment decisions, the adoption of advanced SDS authoring solutions is expected to rise further, supporting long-term market growth.




    From a regional perspective, North America continues to lead the global SDS Authoring Software market, accounting for over 38% of the total revenue in 2024. The region's dominance is underpinned by a mature industrial base, rigorous regulatory environment, and high digital adoption rates. Europe follows closely, driven by stringent REACH regulations and a strong focus on occupational health and safety. The Asia Pacific region is emerging as the fastest-growing market, with a projected CAGR of 9.2% through 2033, fueled by rapid industrialization, expanding manufacturing sectors, and increasing regulatory awareness in countries such as China, India, and Japan. Latin America and the Middle East & Africa are also witnessing steady growth, supported by evolving compliance requirements and rising investments in industrial safety infrastructure.



    Component Analysis



    The Safety Data Sheet (SDS) Authoring Software market is segmented by component into software and services, each playing a distinct yet complementary role in the ecosystem. The software segment, which includes standalone authoring tools and integrated EHS platforms, accounted for the largest share in 2024. This dominance is attributable to the increasing demand for

  10. C

    Content Authoring Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Dec 23, 2024
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    Data Insights Market (2024). Content Authoring Software Report [Dataset]. https://www.datainsightsmarket.com/reports/content-authoring-software-1367375
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Dec 23, 2024
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The size of the Content Authoring Software market was valued at USD 2295 million in 2023 and is projected to reach USD 5603.13 million by 2032, with an expected CAGR of 13.6% during the forecast period.

  11. Data Management Training Clearinghouse Metadata and Collection Statistics...

    • zenodo.org
    • data.niaid.nih.gov
    • +1more
    pdf
    Updated Jul 12, 2024
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    Karl Benedict; Karl Benedict; Nancy Hoebelheinrich; Nancy Hoebelheinrich (2024). Data Management Training Clearinghouse Metadata and Collection Statistics Report [Dataset]. http://doi.org/10.5281/zenodo.7786964
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jul 12, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Karl Benedict; Karl Benedict; Nancy Hoebelheinrich; Nancy Hoebelheinrich
    License

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

    Description

    This collection contains a snapshot of the learning resource metadata from ESIP's Data management Training Clearinghouse (DMTC) associated with the closeout (March 30, 2023) of the Institute of Museum and Library Services funded (Award Number: LG-70-18-0092-18) Development of an Enhanced and Expanded Data Management Training Clearinghouse project. The shared metadata are a snapshot associated with the final reporting date for the project, and the associated data report is also based upon the same data snapshot on the same date.

    The materials included in the collection consist of the following:

    • esip-dev-02.edacnm.org.json.zip - a zip archive containing the metadata for 587 published learning resources as of March 30, 2023. These metadata include all publicly available metadata elements for the published learning resources with the exception of the metadata elements containing individual email addresses (submitter and contact) to reduce the exposure of these data.
    • statistics.pdf - an automatically generated report summarizing information about the collection of materials in the DMTC Clearinghouse, including both published and unpublished learning resources. This report includes the numbers of published and unpublished resources through time; the number of learning resources within subject categories and detailed subject categories, the dates items assigned to each category were first added to the Clearinghouse, and the most recent data that items were added to that category; the distribution of learning resources across target audiences; and the frequency of keywords within the learning resource collection. This report is based on the metadata for published resourced included in this collection, and preliminary metadata for unpublished learning resources that are not included in the shared dataset.

    The metadata fields consist of the following:

    FieldnameDescription
    abstract_dataA brief synopsis or abstract about the learning resource
    abstract_formatDeclaration for how the abstract description will be represented.
    access_conditionsConditions upon which the resource can be accessed beyond cost, e.g., login required.
    access_costYes or No choice stating whether othere is a fee for access to or use of the resource.
    accessibililty_features_nameContent features of the resource, such as accessible media, alternatives and supported enhancements for accessibility.
    accessibililty_summaryA human-readable summary of specific accessibility features or deficiencies.
    author_namesList of authors for a resource derived from the given/first and family/last names of the personal author fields by the system
    author_org
    - name
    - name_identifier
    - name_identifier_type


    - Name of organization authoring the learning resource.
    - The unique identifier for the organization authoring the resource.
    - The identifier scheme associated with the unique identifier for the organization authoring the resource.

    authors
    - givenName
    - familyName
    - name_identifier
    - name_identifier_type


    - Given or first name of person(s) authoring the resource.
    - Last or family name of person(s) authoring the resource.
    - The unique identifier for the person(s) authoring the resource.
    - The identifier scheme associated with the unique identifier for the person(s) authoring the resource, e.g., ORCID.

    citationPreferred Form of Citation.
    completion_timeIntended Time to Complete

    contact
    - name
    - org
    - email


    - Name of person(s) who has/have been asserted as the contact(s) for the resource in case of questions or follow-up by resource user.
    - Name of organization that has/have been asserted as the contact(s) for the resource in case of questions or follow-up by resource user.
    - (excluded) Contact email address.

    contributor_orgs
    - name
    - name_identifier
    - name_identifier_type
    - type
    - Name of organization that is a secondary contributor to the learningresource. A contributor can also be an individual person.
    - The unique identifier for the organization contributing to the resource.
    - The identifier scheme associated with the unique identifier for the organization contributing to the resource.
    - Type of contribution to the resource made by an organization.
    contributors
    - familyName
    - givenName
    - name_identifier
    - name_identifier_type

    - Last or family name of person(s) contributing to the resource.
    - Given or first name of person(s) contributing to the resource.
    - The unique identifier for the person(s) contributing to the resource.
    - The identifier scheme associated with the unique identifier for the person(s) contributing to the resource, e.g., ORCID.

    contributors.type

    Type of contribution to the resource made by a person.

    createdThe date on which the metadata record was first saved as part of the input workflow.
    creatorThe name of the person creating the MD record for a resource.
    credential_statusDeclaration of whether a credential is offered for comopletion of the resource.

    ed_frameworks
    - name
    - description
    - nodes.name

    - The name of the educational framework to which the resource is aligned, if any. An educational framework is a structured description of educational concepts such as a shared curriculum, syllabus or set of learning objectives, or a vocabulary for describing some other aspect of education such as educational levels or reading ability.
    - A description of one or more subcategories of an educational framework to which a resource is associated.
    - The name of a subcategory of an educational framework to which a resource is associated.
    expertise_levelThe skill level targeted for the topic being taught.
    idUnique identifier for the MD record generated by the system in UUID format.
    keywordsImportant phrases or words used to describe the resource.
    language_primaryOriginal language in which the learning resource being described is published or made available.
    languages_secondaryAdditional languages in which the resource is tranlated or made available, if any.
    licenseA license for use of that applies to the resource, typically indicated by URL.
    locator_dataThe identifier for the learning resource used as part of a citation, if available.
    locator_typeDesignation of citation locatorr type, e.g., DOI, ARK, Handle.
    lr_outcomesDescriptions of what knowledge, skills or abilities students should learn from the resource.
    lr_typeA characteristic that describes the predominant type or kind of learning resource.
    media_typeMedia type of resource.
    modification_dateSystem generated date and time when MD record is modified.
    notesMD Record Input Notes
    pub_statusStatus of metadata record within the system, i.e., in-process, in-review, pre-pub-review, deprecate-request, deprecated or published.
    publishedDate of first broadcast / publication.
    publisherThe organization credited with publishing or broadcasting the resource.
    purposeThe purpose of the resource in the context of education; e.g., instruction, professional education, assessment.
    ratingThe aggregation of input from all user assessments evaluating users' reaction to the learning resource following Kirkpatrick's model of training evaluation.
    ratingsInputs from users assessing each user's reaction to the learning resource following Kirkpatrick's model of training evaluation.
    resource_modification_dateDate in which the resource has last been modified from the original published or broadcast version.
    statusSystem generated publication status of the resource w/in the registry as a yes for published or no for not published.
    subjectSubject domain(s) toward which the resource is targeted. There may be more than one value for this field.
    submitter_email(excluded) Email address of

  12. C

    Course Authoring Solution Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Oct 22, 2025
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    Data Insights Market (2025). Course Authoring Solution Report [Dataset]. https://www.datainsightsmarket.com/reports/course-authoring-solution-1405037
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Oct 22, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Explore the dynamic Course Authoring Solution market analysis, including size, CAGR, key drivers like L&D and online learning adoption, trends in AI and microlearning, and regional insights for 2025-2033.

  13. TREC 2023 Authoring Tools for Multimedia Content (AToMiC) Track Dataset

    • catalog.data.gov
    • data.nist.gov
    Updated Sep 11, 2024
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    National Institute of Standards and Technology (2024). TREC 2023 Authoring Tools for Multimedia Content (AToMiC) Track Dataset [Dataset]. https://catalog.data.gov/dataset/trec-2023-authoring-tools-for-multimedia-content-atomic-track-dataset
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    Dataset updated
    Sep 11, 2024
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    The Authoring Tools for Multimedia Content (AToMiC) Track aims to build reliable benchmarks for multimedia search systems. The focus of this track is to develop and evaluate IR techniques for text-to-image and image-to-text search problems.

  14. C

    Collaborative e-Learning Authoring Tool Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Feb 13, 2025
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    Data Insights Market (2025). Collaborative e-Learning Authoring Tool Report [Dataset]. https://www.datainsightsmarket.com/reports/collaborative-e-learning-authoring-tool-1959790
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Feb 13, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The size of the Collaborative e-Learning Authoring Tool market was valued at USD XXX million in 2024 and is projected to reach USD XXX million by 2033, with an expected CAGR of XX% during the forecast period.

  15. I

    Instructional Design Authoring Tools Report

    • datainsightsmarket.com
    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 14, 2025
    + more versions
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    Data Insights Market (2025). Instructional Design Authoring Tools Report [Dataset]. https://www.datainsightsmarket.com/reports/instructional-design-authoring-tools-1981897
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The size of the Instructional Design Authoring Tools market was valued at USD XXX million in 2024 and is projected to reach USD XXX million by 2033, with an expected CAGR of XX% during the forecast period.

  16. Dataset: ORCID-Linked Labeled Data for Evaluating Author Name Disambiguation...

    • figshare.com
    zip
    Updated May 30, 2023
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    Jinseok Kim; Jason Owen-Smith (2023). Dataset: ORCID-Linked Labeled Data for Evaluating Author Name Disambiguation at Scale [Dataset]. http://doi.org/10.6084/m9.figshare.13404986.v4
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Jinseok Kim; Jason Owen-Smith
    License

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

    Description

    This page contains four datasets released for the paper entitled "ORCID-Linked Labeled Data for Evaluating Author Name Disambiguation at Scale" to be published in Scientometrics (In print).1. AUT_ORC.zip: this contains a list of 3M author name instances in MEDLINE linked to Author-ity2009.2. AUT_NIH.zip: this contains a list of 313K author name instances in MEDLINE linked to NIH PI ID.3. AUT_SCT_pairs.zip: this contains a list of 6.2M paper pairs and author byline positions in self-citation relation. 4. AUT-SCT_info.zip: this contains a list of 4.7M author name instances in self-citation relation as recorded in AUT_SCT_pairs. Information about an author name instance in AUT-SCT_pairs can be connected to AUT-SCT_info using the combination of PMID and Byline Position as a key.Please see the paper for details on how the datasets were created.Kim, J., & Owen-Smith, J. (In print). ORCID-linked labeled data for evaluating author name disambiguation at scale. Scientometrics. doi:10.1007/s11192-020-03826-6The uploaded datasets were created by combining several data sources below.1. ORCID data were downloaded from the link below for the 2018 version.Please refer to the policies on the use of ORCID data.https://info.orcid.org/public-data-file-use-policy/2. MEDLINE baseline data were downloaded from the link below for the 2016 version.Please refer to the policies on the use of MEDLINE data.https://www.nlm.nih.gov/databases/download/pubmed_medline.html3. Author-ity2009, Ethnea, and Genni datasets were downloaded from the link below.Please refer to the policies on the use of those datasets.https://databank.illinois.edu/datasets/IDB-9087546Please cite three papers below to properly give credits to the creators of the original datasets.Torvik, V. I., & Smalheiser, N. R. (2009). Author name disambiguation in MEDLINE. Acm Transactions on Knowledge Discovery from Data, 3(3). doi:10.1145/1552303.1552304Torvik VI, Agarwal S. Ethnea -- an instance-based ethnicity classifier based on geocoded author names in a large-scale bibliographic database. International Symposium on Science of Science March 22-23, 2016 - Library of Congress, Washington, DC, USA.http://hdl.handle.net/2142/88927Smith, B., Singh, M., & Torvik, V. (2013). A search engine approach to estimating temporal changes in gender orientation of first names. Proceedings Of The ACM/IEEE Joint Conference On Digital Libraries, (JCDL 2013 - Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries), 199-208. doi:10.1145/2467696.24677204. The dataset of NIH ID linked to Author-ity2009 was downloaded from the link below.https://figshare.com/articles/dataset/PLoS_2016_csv/3407461/1Please cite the paper below to properly give credits to the creators of the original dataset.Lerchenmueller, M. J., & Sorenson, O. (2016). Author Disambiguation in PubMed: Evidence on the Precision and Recall of Author-ity among NIH-Funded Scientists. PLOS ONE, 11(7), e0158731. doi:10.1371/journal.pone.0158731

  17. c

    Datasets: Programmable content and a pattern-matching algorithm for...

    • cord.cranfield.ac.uk
    • figshare.com
    zip
    Updated Jun 1, 2020
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    Iñigo Fernández del amo blanco; John ahmet Erkoyuncu; Maryam Farsi (2020). Datasets: Programmable content and a pattern-matching algorithm for automatic adaptive authoring in Augmented Reality for maintenance [Dataset]. http://doi.org/10.17862/cranfield.rd.12213380.v4
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 1, 2020
    Dataset provided by
    Cranfield Online Research Data (CORD)
    Authors
    Iñigo Fernández del amo blanco; John ahmet Erkoyuncu; Maryam Farsi
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    This repository includes datasets on experimental cases of study and analysis regarding the research called "Programmable content and a pattern-matching algorithm for automatic adaptive authoring in Augmented Reality for maintenance".DOI:Abstract: "Augmented Reality (AR) can increase efficiency and safety of maintenance operations, but costs of augmented content creation (authoring) are hindering its industrial deployment. A relevant research gap involves the ability of authoring solutions to automatically generate content for multiple operations. Hence, this paper offers programmable content formats and a pattern-matching algorithm for automatic adaptive authoring of ontology -based maintenance data. The proposed solution is validated against common authoring tools for repair and remote diagnosis AR applications in terms of operational efficiency gains achieved with the content they produce. Experimental results show that content from all authoring solutions attain same time reductions (42%) in comparison with non-AR information delivery tools. Surveys results suggest alike perceived usability of all authoring solutions and better content adaptiveness and user’s performance tracking of this authoring proposal."

  18. C

    Course Content Authoring App Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Sep 22, 2025
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    Data Insights Market (2025). Course Content Authoring App Report [Dataset]. https://www.datainsightsmarket.com/reports/course-content-authoring-app-1966146
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Sep 22, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Course Content Authoring App market is poised for substantial growth, projected to reach an estimated $1,250 million by 2025, with a robust Compound Annual Growth Rate (CAGR) of 12% anticipated from 2025 through 2033. This expansion is primarily fueled by the escalating demand for flexible and accessible online learning solutions across educational institutions and enterprises. The increasing adoption of digital transformation initiatives, coupled with the need for continuous upskilling and reskilling in the workforce, are significant drivers. Furthermore, the proliferation of mobile learning and the growing preference for engaging, interactive content formats are creating a fertile ground for these applications. The market is segmented into key applications such as Schools and Enterprises, with "Others" encompassing freelance educators and individual learners. The types of systems predominantly supported are Android and iOS, reflecting the widespread use of mobile devices for learning. Several key trends are shaping the Course Content Authoring App market. The integration of Artificial Intelligence (AI) for content generation, personalization, and assessment is a transformative trend, enhancing efficiency and learner engagement. The rise of microlearning and the demand for authoring tools that facilitate the creation of bite-sized, digestible content are also critical. Moreover, a strong emphasis on collaborative authoring features, enabling teams to work together on course development, is gaining traction. While the market is vibrant, certain restraints exist. These include the initial cost of sophisticated authoring tools, the complexity of some platforms for less tech-savvy users, and concerns around data security and intellectual property rights. However, the overall outlook remains exceptionally positive, driven by innovation and the enduring shift towards digital education and corporate training. This comprehensive report delves into the dynamic landscape of Course Content Authoring Applications, analyzing market trends, key players, and future trajectories. The study period spans from 2019 to 2033, with a base year of 2025, and an estimated year also set for 2025. The forecast period extends from 2025 to 2033, building upon historical data from 2019 to 2024. The global market for these essential tools is poised for substantial growth, driven by the ever-increasing demand for accessible, engaging, and scalable digital learning solutions across diverse sectors.

  19. Z

    eSPACE End-User Authoring Tool User Study Documents and Results

    • data.niaid.nih.gov
    Updated Apr 12, 2024
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    Sanctorum, Audrey (2024). eSPACE End-User Authoring Tool User Study Documents and Results [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_10777380
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    Dataset updated
    Apr 12, 2024
    Dataset provided by
    Vrije Universiteit Brussel
    Authors
    Sanctorum, Audrey
    License

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

    Description

    The ZIP file contains all study documents that have been used to evaluate the eSPACE end-user authoring tool. It also contains an Excel file with quantitative results from the post-study questionnaires from the user study which has been performed with 22 participants.

  20. G

    MAP Authoring and Validation Services Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 4, 2025
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    Growth Market Reports (2025). MAP Authoring and Validation Services Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/map-authoring-and-validation-services-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    MAP Authoring and Validation Services Market Outlook



    According to our latest research, the MAP Authoring and Validation Services market size reached USD 1.12 billion in 2024, demonstrating robust expansion across global healthcare and life sciences industries. The market is growing at a CAGR of 10.6% and is forecasted to achieve USD 2.77 billion by 2033. This strong growth is primarily fueled by increasing regulatory compliance requirements, the rapid adoption of digital health technologies, and the escalating demand for high-quality clinical data and medical content across various healthcare and pharmaceutical segments.




    The surge in demand for MAP Authoring and Validation Services is largely driven by the intensifying regulatory scrutiny in the healthcare and life sciences sectors. Regulatory agencies such as the FDA, EMA, and other global authorities have raised the bar for clinical documentation, safety reporting, and data transparency. This has compelled pharmaceutical companies, CROs, and medical device manufacturers to seek specialized MAP authoring and validation services to ensure compliance with evolving standards. The complexity of regulatory guidelines, such as those related to electronic submission formats and real-world evidence, has made it imperative for organizations to adopt advanced MAP authoring solutions and validation protocols. As a result, service providers offering expertise in regulatory documentation, data integrity, and validation processes are witnessing significant market traction.




    Another key growth factor for the MAP Authoring and Validation Services market is the increasing integration of digital technologies in healthcare operations. The proliferation of electronic health records (EHRs), clinical trial management systems, and digital platforms has created a vast ecosystem where accurate, validated, and interoperable medical content is crucial. MAP authoring and validation services play a pivotal role in ensuring that clinical protocols, patient data, and research findings are accurately documented, standardized, and validated for use across multiple platforms. This not only enhances operational efficiency but also supports data-driven decision-making in clinical research and patient care. The adoption of artificial intelligence and automation in authoring and validation processes is further streamlining workflows, reducing errors, and accelerating time-to-market for new therapies and medical devices.




    Moreover, the expanding landscape of personalized medicine, clinical research, and global collaborations is amplifying the need for robust MAP authoring and validation services. Pharmaceutical and biotechnology companies are increasingly engaging in multicenter trials, real-world evidence studies, and cross-border research initiatives. These endeavors require meticulous authoring and validation of protocols, data sets, and regulatory submissions to ensure consistency, accuracy, and compliance across diverse jurisdictions. The rise of decentralized clinical trials and telemedicine is also contributing to the demand for services that can manage complex data flows, validate digital endpoints, and author adaptive protocols. Collectively, these trends are positioning MAP authoring and validation services as indispensable enablers of innovation and quality in the modern healthcare ecosystem.




    From a regional perspective, North America continues to dominate the MAP Authoring and Validation Services market, accounting for the largest share in 2024. The region’s leadership is attributed to its advanced healthcare infrastructure, strong presence of pharmaceutical and biotechnology firms, and proactive regulatory environment. Europe follows closely, driven by stringent regulatory frameworks and a vibrant life sciences industry. The Asia Pacific region is emerging as a high-growth market, propelled by increasing investments in healthcare, expanding clinical research activities, and growing awareness of regulatory compliance. Latin America and the Middle East & Africa are gradually gaining traction, supported by improving healthcare systems and rising participation in global research networks. Each region presents unique opportunities and challenges, shaping the competitive dynamics and growth trajectory of the MAP authoring and validation services market.



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John Kitchin; Ana Van Gulick; Lisa Zilinski (2017). Automating Data Sharing Through Authoring Tools [Dataset]. http://doi.org/10.1184/R1/5549281.v1

Data from: Automating Data Sharing Through Authoring Tools

Related Article
Explore at:
pdfAvailable download formats
Dataset updated
Oct 29, 2017
Dataset provided by
Carnegie Mellon University
Authors
John Kitchin; Ana Van Gulick; Lisa Zilinski
License

http://rightsstatements.org/vocab/InC/1.0/http://rightsstatements.org/vocab/InC/1.0/

Description

In the current scientific publishing landscape, there is a need for an authoring workflow that easily integrates data and code into manuscripts and that enables the data and code to be published in reusable form. Automated embedding of data and code into published output will enable superior communication and data archiving. In this work, we demonstrate a proof of concept for a workflow, org-mode, which successfully provides this authoring capability and workflow integration. We illustrate this concept in a series of examples for potential uses of this workflow. First, we use data on citation counts to compute the h-index of an author, and show two code examples for calculating the h-index. The source for each example is automatically embedded in the PDF during the export of the document. We demonstrate how data can be embedded in image files, which themselves are embedded in the document. Finally, metadata about the embedded files can be automatically included in the exported PDF, and accessed by computer programs. In our customized export, we embedded metadata about the attached files in the PDF in an Info field. A computer program could parse this output to get a list of embedded files and carry out analyses on them. Authoring tools such as Emacs + org-mode can greatly facilitate the integration of data and code into technical writing. These tools can also automate the embedding of data into document formats intended for consumption.

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