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New Paper: Small Data in the Era of Big Data

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Tracey P. Lauriault
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New Paper: Small Data in the Era of Big Data

Tracey P. Lauriault
Kitchin, Rob and Tracey P. Lauriault, 2014, Small Data in the Era of Big Data, GeoJournal, DOI 10.1007/s10708-014-9601-7. (Sorry it is behind a paywall bit if you ask...)

Abstract

Academic knowledge building has progressed for the past few centuries using small data studies characterized by sampled data generated to answer specific questions. It is a strategy that has been remarkably successful, enabling the sciences, social sciences and humanities to advance in leaps and bounds. This approach is presently being challenged by the development of big data. Small data studies will however, we argue, continue to be popular and valuable in the future because of their utility in answering targeted queries. Importantly, however, small data will increasingly be made more big data-like through the development of new data infrastructures that pool, scale and link small data in order to create larger datasets, encourage sharing and reuse, and open them up to combination with big data and analysis using big data analytics. This paper examines the logic and value of small data studies, their relationship to emerging big data and data science, and the implications of scaling small data into data infrastructures, with a focus on spatial data examples.

Cheers
t

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Teresa Scassa
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Re: New Paper: Small Data in the Era of Big Data

Teresa Scassa

Pretty please?

 

Sounds very interesting.

 

Teresa

 

From: [hidden email] [mailto:[hidden email]] On Behalf Of Tracey P. Lauriault
Sent: October-13-14 5:53 PM
To: civicaccess discuss
Subject: [CivicAccess-discuss] New Paper: Small Data in the Era of Big Data

 

Kitchin, Rob and Tracey P. Lauriault, 2014, Small Data in the Era of Big Data, GeoJournal, DOI 10.1007/s10708-014-9601-7. (Sorry it is behind a paywall bit if you ask...)

Abstract

Academic knowledge building has progressed for the past few centuries using small data studies characterized by sampled data generated to answer specific questions. It is a strategy that has been remarkably successful, enabling the sciences, social sciences and humanities to advance in leaps and bounds. This approach is presently being challenged by the development of big data. Small data studies will however, we argue, continue to be popular and valuable in the future because of their utility in answering targeted queries. Importantly, however, small data will increasingly be made more big data-like through the development of new data infrastructures that pool, scale and link small data in order to create larger datasets, encourage sharing and reuse, and open them up to combination with big data and analysis using big data analytics. This paper examines the logic and value of small data studies, their relationship to emerging big data and data science, and the implications of scaling small data into data infrastructures, with a focus on spatial data examples.

Cheers
t

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Tracey P. Lauriault
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Re: New Paper: Small Data in the Era of Big Data

Tracey P. Lauriault
Here it is!  Sorry for the delay!

How are things?

Sonny arrives tomorrow morning and just submitted another paper! 

On Tue, Oct 14, 2014 at 1:53 PM, Teresa Scassa <[hidden email]> wrote:

Pretty please?

 

Sounds very interesting.

 

Teresa

 

From: [hidden email] [mailto:[hidden email]] On Behalf Of Tracey P. Lauriault
Sent: October-13-14 5:53 PM
To: civicaccess discuss
Subject: [CivicAccess-discuss] New Paper: Small Data in the Era of Big Data

 

Kitchin, Rob and Tracey P. Lauriault, 2014, Small Data in the Era of Big Data, GeoJournal, DOI 10.1007/s10708-014-9601-7. (Sorry it is behind a paywall bit if you ask...)

Abstract

Academic knowledge building has progressed for the past few centuries using small data studies characterized by sampled data generated to answer specific questions. It is a strategy that has been remarkably successful, enabling the sciences, social sciences and humanities to advance in leaps and bounds. This approach is presently being challenged by the development of big data. Small data studies will however, we argue, continue to be popular and valuable in the future because of their utility in answering targeted queries. Importantly, however, small data will increasingly be made more big data-like through the development of new data infrastructures that pool, scale and link small data in order to create larger datasets, encourage sharing and reuse, and open them up to combination with big data and analysis using big data analytics. This paper examines the logic and value of small data studies, their relationship to emerging big data and data science, and the implications of scaling small data into data infrastructures, with a focus on spatial data examples.

Cheers
t

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GeoJournal 2014c small data-Published.pdf (364K) Download Attachment
Glen Newton
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Re: New Paper: Small Data in the Era of Big Data

Glen Newton
Please do post articles for which you do not have the copyright or are not from Open Access journals.
In the country where I live - Canada - this is a copyright violation.

Checking the journal page for this article: http://link.springer.com/article/10.1007%2Fs10708-014-9601-7
It indicates that if I want this article, it will cost me: "$39.95 / €34.95 / £29.95"

You put this list at risk by doing this. If it becomes know to authorities that this list is being used for illegal file sharing, it will not be very good for the list or those who participate in this list.

Thanks,
Glen

On Fri, Oct 17, 2014 at 8:12 PM, Tracey P. Lauriault <[hidden email]> wrote:
Here it is!  Sorry for the delay!

How are things?

Sonny arrives tomorrow morning and just submitted another paper! 

On Tue, Oct 14, 2014 at 1:53 PM, Teresa Scassa <[hidden email]> wrote:

Pretty please?

 

Sounds very interesting.

 

Teresa

 

From: [hidden email] [mailto:[hidden email]] On Behalf Of Tracey P. Lauriault
Sent: October-13-14 5:53 PM
To: civicaccess discuss
Subject: [CivicAccess-discuss] New Paper: Small Data in the Era of Big Data

 

Kitchin, Rob and Tracey P. Lauriault, 2014, Small Data in the Era of Big Data, GeoJournal, DOI 10.1007/s10708-014-9601-7. (Sorry it is behind a paywall bit if you ask...)

Abstract

Academic knowledge building has progressed for the past few centuries using small data studies characterized by sampled data generated to answer specific questions. It is a strategy that has been remarkably successful, enabling the sciences, social sciences and humanities to advance in leaps and bounds. This approach is presently being challenged by the development of big data. Small data studies will however, we argue, continue to be popular and valuable in the future because of their utility in answering targeted queries. Importantly, however, small data will increasingly be made more big data-like through the development of new data infrastructures that pool, scale and link small data in order to create larger datasets, encourage sharing and reuse, and open them up to combination with big data and analysis using big data analytics. This paper examines the logic and value of small data studies, their relationship to emerging big data and data science, and the implications of scaling small data into data infrastructures, with a focus on spatial data examples.

Cheers
t

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Tracey P. Lauriault
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Re: New Paper: Small Data in the Era of Big Data

Tracey P. Lauriault
i won't Glen I promise. 

On Saturday, October 18, 2014, Glen Newton <[hidden email]> wrote:
Please do post articles for which you do not have the copyright or are not from Open Access journals.
In the country where I live - Canada - this is a copyright violation.

Checking the journal page for this article: http://link.springer.com/article/10.1007%2Fs10708-014-9601-7
It indicates that if I want this article, it will cost me: "$39.95 / €34.95 / £29.95"

You put this list at risk by doing this. If it becomes know to authorities that this list is being used for illegal file sharing, it will not be very good for the list or those who participate in this list.

Thanks,
Glen

On Fri, Oct 17, 2014 at 8:12 PM, Tracey P. Lauriault <<a href="javascript:_e(%7B%7D,&#39;cvml&#39;,&#39;tlauriau@gmail.com&#39;);" target="_blank">tlauriau@...> wrote:
Here it is!  Sorry for the delay!

How are things?

Sonny arrives tomorrow morning and just submitted another paper! 

On Tue, Oct 14, 2014 at 1:53 PM, Teresa Scassa <<a href="javascript:_e(%7B%7D,&#39;cvml&#39;,&#39;Teresa.Scassa@uottawa.ca&#39;);" target="_blank">Teresa.Scassa@...> wrote:

Pretty please?

 

Sounds very interesting.

 

Teresa

 

From: <a href="javascript:_e(%7B%7D,&#39;cvml&#39;,&#39;civicaccess-discuss-bounces@civicaccess.ca&#39;);" target="_blank">civicaccess-discuss-bounces@... [mailto:<a href="javascript:_e(%7B%7D,&#39;cvml&#39;,&#39;civicaccess-discuss-bounces@civicaccess.ca&#39;);" target="_blank">civicaccess-discuss-bounces@...] On Behalf Of Tracey P. Lauriault
Sent: October-13-14 5:53 PM
To: civicaccess discuss
Subject: [CivicAccess-discuss] New Paper: Small Data in the Era of Big Data

 

Kitchin, Rob and Tracey P. Lauriault, 2014, Small Data in the Era of Big Data, GeoJournal, DOI 10.1007/s10708-014-9601-7. (Sorry it is behind a paywall bit if you ask...)

Abstract

Academic knowledge building has progressed for the past few centuries using small data studies characterized by sampled data generated to answer specific questions. It is a strategy that has been remarkably successful, enabling the sciences, social sciences and humanities to advance in leaps and bounds. This approach is presently being challenged by the development of big data. Small data studies will however, we argue, continue to be popular and valuable in the future because of their utility in answering targeted queries. Importantly, however, small data will increasingly be made more big data-like through the development of new data infrastructures that pool, scale and link small data in order to create larger datasets, encourage sharing and reuse, and open them up to combination with big data and analysis using big data analytics. This paper examines the logic and value of small data studies, their relationship to emerging big data and data science, and the implications of scaling small data into data infrastructures, with a focus on spatial data examples.

Cheers
t

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