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Potential of Citizen Science for Enhancing Infrastructure Monitoring Data and Decision‐Support Models for Local Communities
8 references·1 citing·36 second hop
Potential of Citizen Science for Enhancing Infrastructure Monitoring Data and Decision‐Support Models for Local Communities (2019)Potential of Citizen Science for Enhancin…Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)Data quality for data science…Automated geographic context analysis for volunteered information (2013)Automated geographic context …Data Quality : Concepts, Methodologies and Techniques (2006)Data Quality : Concepts, Meth…Exploratory Data Mining and Data Cleaning (2003)Exploratory Data Mining and D…AIMQ: a methodology for information quality assessment (2002)AIMQ: a methodology for infor…Data Quality (2000)Data QualityData Quality For The Information Age (1997)Data Quality For The Informat…Beyond Accuracy: What Data Quality Means to Data Consumers (1996)Beyond Accuracy: What Data Qu…A citespace-assisted overview of citizen science research in the built environment field (2025)A citespace-assisted overview…Design of Experiments (1936)An overview of data warehousing and OLAP technology (1997)Data Cleaning: Problems and Current Approaches. (2000)Record linkage (2006)Data quality in internet of things: A state-of-the-art survey (2016)Out of the Crisis (1982)Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation (1991)Information Systems Success: The Quest for the Dependent Variable (1992)Data quality in context (1997)Data quality assessment (2002)Firm Resources and Sustained Competitive Advantage (1991)Toward a knowledge‐based theory of the firm (1996)Firm resources and sustained competitive advantage (2004)Big data and disaster management: a systematic review and agenda for future research (2017)Circular economy and big data analytics: A stakeholder perspective (2018)Artificial intelligence applications in supply chain management (2021)The credibility of volunteered geographic information (2008)Twitter adoption and use in mass convergence and emergency events (2009)You are where you tweet (2010)Geographic Situational Awareness: Mining Tweets for Disaster Preparedness, Emergency Response, Impact, and Recovery (2015)Methods for assessing the credibility of volunteered geographic information in flood response: A case study in Brisbane, Australia (2016)Social media analytics for natural disaster management (2017)Little Science, Big Science (1963)Citizen science: a study of people, expertise and sustainable development (1996)A Systematic Review of Built Environment and Health (2010)Examining data quality (1998)One Size Does Not Fit All---A Contingency Approach to Data Governance (2009)Open data quality measurement framework: Definition and application to Open Government Data (2016)Overview and Framework for Data and Information Quality Research (2009)Evaluation of entity resolution approaches on real-world match problems (2010)Big Data Integration (2013)Methodologies for data quality assessment and improvement (2009)Effects of tourism information quality in social media on destination image formation: The case of Sina Weibo (2017)Data Quality: The Field Guide (2001)Journey to Data Quality (2006)Towards Responsible Research and Innovation in the Information and Communication Technologies and Security Technologies Fields (2014)
this work references cited by second hop

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  • 2002AIMQ: a methodology for information quality assessment1,611 cited
  • 2014Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications863 cited
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  • 2006Data Quality : Concepts, Methodologies and Techniques662 cited
  • 2003Exploratory Data Mining and Data Cleaning622 cited
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  • 2013Automated geographic context analysis for volunteered information84 cited

Cited by

  • 2025A citespace-assisted overview of citizen science research in the built environment field3 cited

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