المؤلفون: Vaddepalli, Krishna, Palacin, Victoria, Porras, Jari, Happonen, Ari

المصدر: Intelligent Sustainable Systems ; Lecture Notes in Networks and Systems ; page 391-410 ; ISSN 2367-3370 2367-3389 ; ISBN 9789811976599 9789811976605

الاتاحة: http://dx.doi.org/10.1007/978-981-19-7660-5_34
https://link.springer.com/content/pdf/10.1007/978-981-19-7660-5_34

المؤلفون: Vaddepalli, Krishna, Palacin, Victoria, Porras, Jari, Happonen, Ari

المساهمون: Nagar, Atulya K., Singh Jat, Dharm, Mishra, Durgesh Kumar, Joshi, Amit, Paladin Cyber, University of Helsinki, Department of Information and Communications Engineering, LUT University, Aalto-yliopisto, Aalto University

مصطلحات موضوعية: Citizen science, Data quality, Data quality issues, Data quality mechanisms, Digital citizen science, Taxonomy

وصف الملف: 391-410

Relation: World Conference on Smart Trends in Systems, Security and Sustainability; Intelligent Sustainable Systems - Selected Papers of WorldS4 2022; Lecture Notes in Networks and Systems; Volume 578; Vaddepalli , K , Palacin , V , Porras , J & Happonen , A 2023 , Taxonomy of Data Quality Metrics in Digital Citizen Science . in A K Nagar , D Singh Jat , D K Mishra & A Joshi (eds) , Intelligent Sustainable Systems - Selected Papers of WorldS4 2022 . Lecture Notes in Networks and Systems , vol. 578 , Springer , pp. 391-410 , World Conference on Smart Trends in Systems, Security and Sustainability , London , United Kingdom , 24/08/2022 . https://doi.org/10.1007/978-981-19-7660-5_34; PURE UUID: 14dd8211-9c47-4b6d-8105-22f7390026d9; PURE ITEMURL: https://research.aalto.fi/en/publications/14dd8211-9c47-4b6d-8105-22f7390026d9; PURE LINK: http://www.scopus.com/inward/record.url?scp=85148025279&partnerID=8YFLogxK; PURE LINK: https://lutpub.lut.fi/handle/10024/165179; https://aaltodoc.aalto.fi/handle/123456789/120508; URN:NBN:fi:aalto-202304262830

الاتاحة: https://aaltodoc.aalto.fi/handle/123456789/120508
https://doi.org/10.1007/978-981-19-7660-5_34

المؤلفون: Vaddepalli Krishna Teja, Victoria Palacin, Jari Porras, Ari Happonen

مصطلحات موضوعية: Data quality, Digital citizen science

Relation: https://doi.org/10.5281/zenodo.3829497; https://doi.org/10.5281/zenodo.3829498; oai:zenodo.org:3829498

الاتاحة: https://doi.org/10.5281/zenodo.3829498

المؤلفون: Vaddepalli, Krishna Teja

المساهمون: Lappeenrannan-Lahden teknillinen yliopisto LUT, Lappeenranta-Lahti University of Technology LUT

مصطلحات موضوعية: data quality, citizen science, Illu framework, fi=Kestävä kehitys|en=Sustainable development, fi=Tekniikka|en=Technology, fi=Ympäristö|en=Environment, fi=School of Business and Management, Kauppatieteet|en=School of Business and Management, Business Administration, manag, socio

Relation: https://lutpub.lut.fi/handle/10024/159888

الاتاحة: https://lutpub.lut.fi/handle/10024/159888

المؤلفون: Vaddepalli, Krishna Teja

المساهمون: Lappeenrannan-Lahden teknillinen yliopisto LUT, Lappeenranta-Lahti University of Technology LUT

مصطلحات موضوعية: data quality, citizen science, Illu framework, fi=Kestävä kehitys|en=Sustainable development, fi=Tekniikka|en=Technology, fi=Ympäristö|en=Environment, fi=School of Business and Management, Kauppatieteet|en=School of Business and Management, Business Administration

وصف الملف: fulltext

Relation: https://lutpub.lut.fi/handle/10024/159888; URN:NBN:fi-fe2019090226408

الاتاحة: https://lutpub.lut.fi/handle/10024/159888