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One of the common problems in data science is gathering data from various sources in a somehow cleaned (semi-structured) format and combining metrics from various sources for making a higher level analysis. Looking at the other people's effort, especially other questions on this site, it appears that many people in this field are doing somewhat repetitive work. For example analyzing tweets, facebook posts, Wikipedia articles etc. is a part of a lot of big data problems.

Some of these data sets are accessible using public APIs provided by the provider site, but usually, some valuable information or metrics are missing from these APIs and everyone has to do the same analyses again and again. For example, although clustering users may depend on different use cases and selection of features, but having a base clustering of Twitter/Facebook users can be useful in many Big Data applications, which is neither provided by the API, nor available publicly in independent data sets.

Is there any index or publicly available data set hosting site containing valuable data sets that can be reused in solving other big data problems? I mean something like GitHub (or a group of sites/public data setsdatasets or at least a comprehensive listing) for the data science. If not, what are the reasons offor not having such a platform for data science? CommercialThe commercial value of data, need to frequently update data sets, ...? Can we not have an open-source model for sharing data sets devised for data scientists?

One of the common problems in data science is gathering data from various sources in a somehow cleaned (semi-structured) format and combining metrics from various sources for making a higher level analysis. Looking at the other people's effort, especially other questions on this site, it appears that many people in this field are doing somewhat repetitive work. For example analyzing tweets, facebook posts, Wikipedia articles etc. is a part of a lot of big data problems.

Some of these data sets are accessible using public APIs provided by the provider site, but usually some valuable information or metrics are missing from these APIs and everyone has to do the same analyses again and again. For example, although clustering users may depend on different use cases and selection of features, but having a base clustering of Twitter/Facebook users can be useful in many Big Data applications, which is neither provided by the API, nor available publicly in independent data sets.

Is there any index or publicly available data set hosting site containing valuable data sets that can be reused in solving other big data problems? I mean something like GitHub (or a group of sites/public data sets or at least a comprehensive listing) for the data science. If not, what are the reasons of not having such a platform for data science? Commercial value of data, need to frequently update data sets, ...? Can we not have an open-source model for sharing data sets devised for data scientists?

One of the common problems in data science is gathering data from various sources in a somehow cleaned (semi-structured) format and combining metrics from various sources for making a higher level analysis. Looking at the other people's effort, especially other questions on this site, it appears that many people in this field are doing somewhat repetitive work. For example analyzing tweets, facebook posts, Wikipedia articles etc. is a part of a lot of big data problems.

Some of these data sets are accessible using public APIs provided by the provider site, but usually, some valuable information or metrics are missing from these APIs and everyone has to do the same analyses again and again. For example, although clustering users may depend on different use cases and selection of features, but having a base clustering of Twitter/Facebook users can be useful in many Big Data applications, which is neither provided by the API nor available publicly in independent data sets.

Is there any index or publicly available data set hosting site containing valuable data sets that can be reused in solving other big data problems? I mean something like GitHub (or a group of sites/public datasets or at least a comprehensive listing) for the data science. If not, what are the reasons for not having such a platform for data science? The commercial value of data, need to frequently update data sets, ...? Can we not have an open-source model for sharing data sets devised for data scientists?

Post Made Community Wiki by Sean Owen

Publicly available datasetsAvailable Datasets

One of the common problems in data science is gathering data from various sources in a somehow cleaned (semi-structured) format and combining metrics from various sources for making a higher level analysis. Looking at the other people's effort, especially other questions on this site, it appears that many people in this field are doing somewhat repetitive work. For example analyzing tweets, facebook posts, wikipediaWikipedia articles etc. is a part of a lot of big data problems.

Some of these data sets are accessible using public APIs provided by the provider site, but usually some valuable information or metricesmetrics are missing from these APIs and everyone has to do the same analyses again and again. For example, although clustering users may depend on different use cases and selection of features, but having a base clustering of Twitter/Facebook users can be useful in many Big Data applications, which is neither provided by the API, nor available publicly in independent data sets.

Is there any index or publicly available data set hosting site containing valuable data sets that can be reused in solving other big data problems? I mean something like GitHub (or a group of sites/public data sets or at least a comprehensive listing) for the data science. If not, what are the reasons of not having such a platform for data science? Commercial value of data, need to frequently update data sets, ...? Can we not have an open-source model for sharing data sets devised for data scientists?

Publicly available datasets

One of the common problems in data science is gathering data from various sources in a somehow cleaned (semi-structured) format and combining metrics from various sources for making higher level analysis. Looking at the other people's effort, especially other questions on this site, it appears that many people in this field are doing somewhat repetitive work. For example analyzing tweets, facebook posts, wikipedia articles etc. is a part of lot of big data problems.

Some of these data sets are accessible using public APIs provided by the provider site, but usually some valuable information or metrices are missing from these APIs and everyone has to do the same analyses again and again. For example, although clustering users may depend on different use cases and selection of features, but having a base clustering of Twitter/Facebook users can be useful in many Big Data applications, which is neither provided by the API, nor available publicly in independent data sets.

Is there any index or publicly available data set hosting site containing valuable data sets that can be reused in solving other big data problems? I mean something like GitHub (or a group of sites/public data sets or at least a comprehensive listing) for the data science. If not, what are the reasons of not having such a platform for data science? Commercial value of data, need to frequently update data sets, ...? Can we not have an open-source model for sharing data sets devised for data scientists?

Publicly Available Datasets

One of the common problems in data science is gathering data from various sources in a somehow cleaned (semi-structured) format and combining metrics from various sources for making a higher level analysis. Looking at the other people's effort, especially other questions on this site, it appears that many people in this field are doing somewhat repetitive work. For example analyzing tweets, facebook posts, Wikipedia articles etc. is a part of a lot of big data problems.

Some of these data sets are accessible using public APIs provided by the provider site, but usually some valuable information or metrics are missing from these APIs and everyone has to do the same analyses again and again. For example, although clustering users may depend on different use cases and selection of features, but having a base clustering of Twitter/Facebook users can be useful in many Big Data applications, which is neither provided by the API, nor available publicly in independent data sets.

Is there any index or publicly available data set hosting site containing valuable data sets that can be reused in solving other big data problems? I mean something like GitHub (or a group of sites/public data sets or at least a comprehensive listing) for the data science. If not, what are the reasons of not having such a platform for data science? Commercial value of data, need to frequently update data sets, ...? Can we not have an open-source model for sharing data sets devised for data scientists?

One of the common problems in data science is gathering data from various sources in a somehow cleaned (semi-structured) format and combining metricmetrics from various sources for making higher level analysis. Looking at the other people's effort, especially other questions on this site, it appears that many people in this field are doing somehowsomewhat repetitive workswork. For example, analyzing tweets, Facebookfacebook posts, Wikipediawikipedia articles, etc. is somehowa part lots of Big Datalot of big data problems.

Some of these data sets are accessible using public APIs provided by the provider site, but usually some valuable calculated valuesinformation or metrices are missing from those API outputs,these APIs and everyone has to do somehowthe same analyses overagain and over again. For example, although clustering users may depend on different use cases and selection of features, but having a base clustering of Twitter/Facebook users can be useful in many Big Data applications, which is neither provided by the API, nor available publicly in independent data sets.

Is there any index or publicly available data set hosting site containing valuable data sets that can be reused in solving other Big Databig data problems? I mean something like GitHub (or a group of sites/public data sets or at least a comprehensive listing) for the data science. If not, what are the reasons of not having such a platform for data science? Commercial value of data, need to frequently update data sets, ...? Can we not ahave an open-source model for sharing data sets devised for data scientists?

One of the common problems in data science is gathering data from various sources in a somehow cleaned (semi-structured) format and combining metric from various sources for making higher level analysis. Looking at the other people's effort, especially other questions on this site, it appears that many people in this field are doing somehow repetitive works. For example, analyzing tweets, Facebook posts, Wikipedia articles, etc. is somehow part lots of Big Data problems.

Some of these data sets are accessible using public APIs provided by the provider site, but usually some valuable calculated values are missing from those API outputs, and everyone has to do somehow same analyses over and over again. For example, although clustering users may depend on different use cases and selection of features, but having a base clustering of Twitter/Facebook users can be useful in many Big Data applications, which is neither provided by the API, nor available publicly in independent data sets.

Is there any index or publicly available data set hosting site containing valuable data sets that can be reused in solving other Big Data problems? I mean something like GitHub (or a group of sites/public data sets or at least a comprehensive listing) for the data science. If not, what are the reasons of not having such a platform for data science? Commercial value of data, need to frequently update data sets, ...? Can not a open-source model for sharing data sets devised for data scientists?

One of the common problems in data science is gathering data from various sources in a somehow cleaned (semi-structured) format and combining metrics from various sources for making higher level analysis. Looking at the other people's effort, especially other questions on this site, it appears that many people in this field are doing somewhat repetitive work. For example analyzing tweets, facebook posts, wikipedia articles etc. is a part of lot of big data problems.

Some of these data sets are accessible using public APIs provided by the provider site, but usually some valuable information or metrices are missing from these APIs and everyone has to do the same analyses again and again. For example, although clustering users may depend on different use cases and selection of features, but having a base clustering of Twitter/Facebook users can be useful in many Big Data applications, which is neither provided by the API, nor available publicly in independent data sets.

Is there any index or publicly available data set hosting site containing valuable data sets that can be reused in solving other big data problems? I mean something like GitHub (or a group of sites/public data sets or at least a comprehensive listing) for the data science. If not, what are the reasons of not having such a platform for data science? Commercial value of data, need to frequently update data sets, ...? Can we not have an open-source model for sharing data sets devised for data scientists?

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Amir Ali Akbari
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Amir Ali Akbari
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