Dataset Open Access
{"conceptdoi":"10.25592/uhhfdm.9831","conceptrecid":"9831","created":"2022-01-20T15:06:17.993962+00:00","doi":"10.25592/uhhfdm.9833","id":9833,"links":{"badge":"https://www.fdr.uni-hamburg.de/badge/doi/10.25592/uhhfdm.9833.svg","conceptbadge":"https://www.fdr.uni-hamburg.de/badge/doi/10.25592/uhhfdm.9831.svg","conceptdoi":"http://doi.org/10.25592/uhhfdm.9831","doi":"http://doi.org/10.25592/uhhfdm.9833"},"metadata":{"access_right":"open","access_right_category":"success","creators":[{"affiliation":"Universit\u00e4t Hamburg","name":"Maa\u00df, Christina H.","orcid":"0000-0001-6264-6622"}],"description":"<p>Data used for research project: Shedding light on dark figures: Steps towards a methodology for estimating actual numbers of COVID-19 infections in Germany based on Google Trends</p>\n\n<p>Data obtained from Google Trends (trends.google.de) and Robert Koch Institute (https://www.rki.de/DE/Content/InfAZ/N/Neuartiges_Coronavirus/nCoV.html).</p>","doi":"10.25592/uhhfdm.9833","keywords":["Big Data, Google Trends"],"language":"eng","license":{"id":"CC-BY-4.0"},"publication_date":"2022-01-20","related_identifiers":[{"identifier":"10.25592/uhhfdm.9831","relation":"isVersionOf","scheme":"doi"}],"relations":{"version":[{"count":2,"index":1,"is_last":true,"last_child":{"pid_type":"recid","pid_value":"9833"},"parent":{"pid_type":"recid","pid_value":"9831"}}]},"resource_type":{"title":"Dataset","type":"dataset"},"title":"Shedding light on dark figures: steps towards a methodology for estimating actual numbers of COVID-19 infections in Germany based on Google Trends"},"owners":[268],"revision":2,"updated":"2022-11-01T13:27:03.833945+00:00"}