{"id":1274,"date":"2017-11-07T10:41:45","date_gmt":"2017-11-07T10:41:45","guid":{"rendered":"https:\/\/datamarket.at\/?p=1274"},"modified":"2020-11-17T17:16:18","modified_gmt":"2020-11-17T17:16:18","slug":"which-data-to-expect-on-the-future-dma","status":"publish","type":"post","link":"https:\/\/datamarket.at\/en\/2017\/11\/07\/which-data-to-expect-on-the-future-dma\/","title":{"rendered":"Which data to expect on the future DMA?"},"content":{"rendered":"
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At the beginning of 2014, Telecom Italia, in collaboration with several international partners, launched the\u00a0Telecom Italia Big Data Challenge<\/a>. The contest made available to developers, designers and scientists a large dataset of 30+ kinds of data (mobile, weather, energy, etc.)<\/div>\n
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\nAt the DMA we see the datasets released during the contests as an good example of what you can expect from DMA to be released on DMA in the course of 2018. Especially as the mixture of dataset providers are comparable between the\u00a0Telecom Italia Big Data Challenge<\/a>\u00a0and our consortium here at DMA, combining the domains of GEO, TELCO, WHEATER and COMMUNAL.<\/p>\n\"\"\n

Milano Grid <\/a>GEO<\/span><\/h4>\n
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Some of the datasets referring to the Milano urban area are spatially aggregated using a grid. We refer to this grid as the Milano Grid.\u00a0read more<\/a>, \u00a0Get data via API<\/a><\/div>\n<\/div>\n<\/div>\n<\/article>\n
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Telecommunications – SMS, Call, Internet – MI<\/a>\u00a0TELCO<\/span><\/h4>\n<\/div>\n
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This dataset provides information about the telecommunication activity over the city of Milano.\u00a0read more<\/a>, \u00a0download data<\/a><\/div>\n<\/div>\n<\/div>\n<\/article>\n
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Telecommunications – MI to Provinces<\/a>\u00a0TELCO<\/span><\/h4>\n<\/div>\n
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This dataset provides information regarding the level of interaction between the areas of the city of Milan and the Italian provinces.\u00a0read more<\/a>, \u00a0download data<\/a><\/div>\n<\/div>\n<\/div>\n<\/article>\n
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Telecommunications – MI to MI\u00a0<\/a>TELCO<\/span><\/h4>\n<\/div>\n
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This dataset provides information regarding the directional interaction strength between the city of Milan different areas based on the calls exchanged between Telecom Italia Mobile users.\u00a0read more<\/a>, \u00a0download data<\/a><\/div>\n<\/div>\n<\/div>\n<\/article>\n
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Milano Weather Station\u200e Data\u00a0<\/a>WEATHER<\/span><\/h4>\n<\/div>\n
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The dataset describes various meteorological phenomena type and intensity of Milan city using sensors located within the city limits.\u00a0read more<\/a>, \u00a0download data<\/a><\/div>\n<\/div>\n<\/div>\n<\/article>\n
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Precipitation – Milano\u00a0<\/a>WEATHER<\/span><\/h4>\n<\/div>\n
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The dataset describes precipitation intensity and type over the city of Milan.\u00a0read more<\/a>, \u00a0download data<\/a><\/div>\n<\/div>\n<\/div>\n<\/article>\n
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Air Quality – MI\u00a0<\/a>ENVIRONMENT<\/span><\/h4>\n<\/div>\n
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The dataset describes the pollution type and intensity of Milan city using various types of sensors located within the city limits.\u00a0read more<\/a>, \u00a0download data<\/a><\/div>\n<\/div>\n<\/div>\n<\/article>\n
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MilanoToday\u00a0<\/a>NEWS<\/span><\/h4>\n<\/div>\n
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This dataset contains all the articles published on the website milanotoday.it from 01\/11\/2013 to 31\/12\/2013.\u00a0read more \u00bb\u00a0<\/a>\u00a0Get data via API<\/a><\/div>\n<\/div>\n<\/div>\n<\/article>\n
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Social Pulse – Milano<\/a>\u00a0SOCIAL<\/span><\/h4>\n<\/div>\n
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This dataset contains data derived from an analysis of geolocalized tweets originated from Milan during the months of November and December.\u00a0read more<\/a>, \u00a0Get data via API<\/a><\/div>\n
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Trentino Grid\u00a0<\/a>GEO<\/span><\/p>\n

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Some of the datasets referring to the Trentino territory are spatially aggregated using a grid. We refer to this grid as the Trentino Grid.\u00a0read more<\/a>, \u00a0Get data via API<\/a><\/div>\n<\/div>\n<\/div>\n<\/article>\n
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Telecommunications – SMS, Call, Internet – TN<\/a>\u00a0TELCO<\/span><\/h4>\n<\/div>\n
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This dataset provides information about the telecommunication activity over the Province of Trento.\u00a0read more<\/a>, \u00a0download data<\/a><\/div>\n<\/div>\n<\/div>\n<\/article>\n
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Telecommunications – TN to Provinces<\/a>\u00a0TELCO<\/span><\/h4>\n<\/div>\n
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This dataset provides information regarding the level of interaction between the Province of Trento and the Italian provinces.\u00a0read more<\/a>, \u00a0download data<\/a><\/div>\n<\/div>\n<\/div>\n<\/article>\n
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Telecommunications – TN to TN<\/a>\u00a0TELCO<\/span><\/h4>\n<\/div>\n
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This dataset provides information regarding the directional interaction strength between the Province of Trento different areas based on the calls exchanged between Telecom Italia Mobile users.\u00a0read more<\/a>, \u00a0download data<\/a><\/div>\n<\/div>\n<\/div>\n<\/article>\n
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Meteotrentino Weather Station\u200e Data<\/a>\u00a0WEATHER<\/span><\/h4>\n<\/div>\n
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This dataset contains measurements about temperature, precipitation and wind speed\/direction taken in 36 Weather Stations.\u00a0read more<\/a>, \u00a0Get data via API<\/a><\/div>\n<\/div>\n<\/div>\n<\/article>\n
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Precipitation – Trentino\u00a0<\/a>WEATHER<\/span><\/h4>\n<\/div>\n
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The dataset describes precipitation intensity over the province of Trento.\u00a0read more<\/a>, \u00a0download data<\/a><\/div>\n<\/div>\n<\/div>\n<\/article>\n
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SET, Electricity<\/a>\u00a0ENERGY<\/span><\/h4>\n<\/div>\n
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This dataset provides information about the current flowing through the electrical grid of the Trentino province.\u00a0read more<\/a>, \u00a0download data<\/a><\/div>\n<\/div>\n<\/div>\n<\/article>\n
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Air Quality – TN<\/a>\u00a0ENVIRONMENT<\/span><\/h4>\n<\/div>\n
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This dataset describes the level of CO gas over the Trentino territory.\u00a0read more<\/a>, \u00a0download data<\/a><\/div>\n<\/div>\n<\/div>\n<\/article>\n
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TrentoToday<\/a>\u00a0NEWS<\/span><\/h4>\n<\/div>\n
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This dataset contains all the articles published on the website trentotoday.it from 01\/11\/2013 to 31\/12\/2013.\u00a0read more<\/a>, \u00a0Get data via API<\/a><\/div>\n<\/div>\n<\/div>\n<\/article>\n
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Social Pulse – Trentino<\/a>\u00a0SOCIAL<\/span><\/h4>\n<\/div>\n
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This dataset contains data derived from an analysis of geolocalized tweets originated from the Province of Trento during the months of November and December.\u00a0read more<\/a>, \u00a0Get data via API<\/a><\/div>\n<\/div>\n<\/div>\n<\/article>\n<\/div>\n<\/section>\n
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Administrative Regions\u00a0<\/a>GEO<\/span><\/h4>\n<\/div>\n
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This dataset provides information about the current administrative regions in Europe. Original data sources include ISTAT and Eurostat data.\u00a0read more<\/a>, \u00a0Get data via API<\/a><\/div>\n<\/div>\n<\/div>\n<\/article>\n<\/div>\n<\/section>\n<\/div>","protected":false},"excerpt":{"rendered":"

At the beginning of 2014, Telecom Italia, in collaboration with several international partners, launched the\u00a0Telecom Italia Big Data Challenge. The contest made available to developers, designers and scientists a large… Read more »<\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[3],"tags":[],"class_list":["post-1274","post","type-post","status-publish","format-standard","hentry","category-news"],"translation":{"provider":"WPGlobus","version":"3.0.0","language":"en","enabled_languages":["de","en"],"languages":{"de":{"title":true,"content":true,"excerpt":false},"en":{"title":true,"content":true,"excerpt":false}}},"_links":{"self":[{"href":"https:\/\/datamarket.at\/en\/wp-json\/wp\/v2\/posts\/1274","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/datamarket.at\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datamarket.at\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datamarket.at\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/datamarket.at\/en\/wp-json\/wp\/v2\/comments?post=1274"}],"version-history":[{"count":10,"href":"https:\/\/datamarket.at\/en\/wp-json\/wp\/v2\/posts\/1274\/revisions"}],"predecessor-version":[{"id":2809,"href":"https:\/\/datamarket.at\/en\/wp-json\/wp\/v2\/posts\/1274\/revisions\/2809"}],"wp:attachment":[{"href":"https:\/\/datamarket.at\/en\/wp-json\/wp\/v2\/media?parent=1274"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datamarket.at\/en\/wp-json\/wp\/v2\/categories?post=1274"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datamarket.at\/en\/wp-json\/wp\/v2\/tags?post=1274"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}