Data from: DOIBoost Dataset Dump
- zenodo.org
- data.niaid.nih.gov
- +1more
bin, tar, zipUpdated Jan 24, 2020+ more versions
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EmailClick to copy linkLink copiedCiteSandro La Bruzzo; Sandro La Bruzzo; Paolo Manghi; Paolo Manghi; Andrea Mannocci; Andrea Mannocci (2020). DOIBoost Dataset Dump [Dataset]. http://doi.org/10.5281/zenodo.3559699bin, zip, tarAvailable download formatsUnique identifierhttps://doi.org/10.5281/zenodo.3559699Dataset updatedJan 24, 2020AuthorsSandro La Bruzzo; Sandro La Bruzzo; Paolo Manghi; Paolo Manghi; Andrea Mannocci; Andrea MannocciLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionResearch in information science and scholarly communication strongly relies on the availability of openly accessible datasets of metadata and, where possible, their relative payloads. To this end, CrossRef plays a pivotal role by providing free access to its entire metadata collection, and allowing other initiatives to link and enrich its information. Therefore, a number of key pieces of information result scattered across diverse datasets and resources freely available online. As a result of this fragmentation, researchers in this domain end up struggling with daily integration problems producing a plethora of ad-hoc datasets, therefore incurring in a waste of time, resources, and infringing open science best practices.
The latest DOIBoost release is a metadata collection that enriches CrossRef (October 2019 release: 108,048,986 publication records) with inputs from Microsoft Academic Graph (October 2019 release: 76,171,072 publication records), ORCID (October 2019 release: 12,642,131 publication records), and Unpaywall (August 2019 release: 26,589,869 publication records) for the purpose of supporting high-quality and robust research experiments. As a result of DOIBoost, CrossRef records have been "boosted" as follows:
- 47,254,618 CrossRef records have been enriched with an abstract from MAG;
- 33,279,428 CrossRef records have been enriched with an affiliation from MAG and/or ORCID;
- 509,588 CrossRef records have been enriched with an ORCID identifier from ORCID.
This entry consists of two files: doiboost_dump-2019-11-27.tar (contains a set of partXYZ.gz files, each one containing the JSON files relative to the enriched CrossRef records), a schemaAndSample.zip, and termsOfUse.doc (contains details on the terms of use of DOIBoost).
Note that this records comes with two relationships to other results of this experiment:
- link to the data paper: for more information on how the dataset is (and can be) generated;
- link to the software: to repeat the experiment
- w
Global Graph Database Market Research Report: By Deployment Model...
- wiseguyreports.com
Updated Dec 4, 2024+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCitewWiseguy Research Consultants Pvt Ltd (2024). Global Graph Database Market Research Report: By Deployment Model (On-Premises, Cloud-Based, Hybrid), By Type (RDF Graph Databases, Property Graph Databases, Document Graph Databases), By Application (Social Network Analysis, Fraud Detection, Recommendation Engines, Network and IT Operations), By End Use (BFSI, Retail, Telecommunications, Healthcare, Government) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/graph-database-marketDataset updatedDec 4, 2024Dataset authored and provided bywWiseguy Research Consultants Pvt LtdLicensehttps://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy
Area coveredGlobalDescriptionBASE YEAR 2024 HISTORICAL DATA 2019 - 2024 REPORT COVERAGE Revenue Forecast, Competitive Landscape, Growth Factors, and Trends MARKET SIZE 2023 4.65(USD Billion) MARKET SIZE 2024 5.19(USD Billion) MARKET SIZE 2032 12.5(USD Billion) SEGMENTS COVERED Deployment Model, Type, Application, End Use, Regional COUNTRIES COVERED North America, Europe, APAC, South America, MEA KEY MARKET DYNAMICS increasing data complexity, growing need for connectivity, rising demand for real-time analytics, expanding adoption of AI technologies, enhanced customer relationship management MARKET FORECAST UNITS USD Billion KEY COMPANIES PROFILED Amazon, Neo4j, AllegroGraph, Couchbase, Microsoft, IBM, Redis Labs, GraphDB, Oracle, ArangoDB, DataStax, SAP, TigerGraph, TinkerPop MARKET FORECAST PERIOD 2025 - 2032 KEY MARKET OPPORTUNITIES Increasing demand for data connectivity, Growth in AI and machine learning, Expansion of IoT applications, Rising need for real-time analytics, Adoption in cybersecurity solutions COMPOUND ANNUAL GROWTH RATE (CAGR) 11.6% (2025 - 2032) 
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Research in information science and scholarly communication strongly relies on the availability of openly accessible datasets of metadata and, where possible, their relative payloads. To this end, CrossRef plays a pivotal role by providing free access to its entire metadata collection, and allowing other initiatives to link and enrich its information. Therefore, a number of key pieces of information result scattered across diverse datasets and resources freely available online. As a result of this fragmentation, researchers in this domain end up struggling with daily integration problems producing a plethora of ad-hoc datasets, therefore incurring in a waste of time, resources, and infringing open science best practices.
The latest DOIBoost release is a metadata collection that enriches CrossRef (October 2019 release: 108,048,986 publication records) with inputs from Microsoft Academic Graph (October 2019 release: 76,171,072 publication records), ORCID (October 2019 release: 12,642,131 publication records), and Unpaywall (August 2019 release: 26,589,869 publication records) for the purpose of supporting high-quality and robust research experiments. As a result of DOIBoost, CrossRef records have been "boosted" as follows:
- 47,254,618 CrossRef records have been enriched with an abstract from MAG;
- 33,279,428 CrossRef records have been enriched with an affiliation from MAG and/or ORCID;
- 509,588 CrossRef records have been enriched with an ORCID identifier from ORCID.
This entry consists of two files: doiboost_dump-2019-11-27.tar (contains a set of partXYZ.gz files, each one containing the JSON files relative to the enriched CrossRef records), a schemaAndSample.zip, and termsOfUse.doc (contains details on the terms of use of DOIBoost).
Note that this records comes with two relationships to other results of this experiment:
- link to the data paper: for more information on how the dataset is (and can be) generated;
- link to the software: to repeat the experiment