Open Data Standards Initiative

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Open Data Standards Initiative

Jury Konga

Apologies for cross-posting

 

Good morning folks

 

We’re hoping to get the Canadian open data community to participate in an open data standards initiative.  There is an increasing amount of discussion and activity around standards related to open data.  There are many great initiatives underway such as Open North’s Open 511 and other efforts underway in the international community (e.g. Citadel on the Move) both within government as well as the for profit and non-profit community.  The Canadian Open Data Institute has initiated a project called the Open Data Reference Model which can found here opendatainstitute.ca/projects/open-data-reference-model/    There is a link in the project description to an editable Google doc that everyone can contribute to.

 

The tasks set out for the project focus on:

·         Data Categories.  Provide feedback on categories that datasets are included in as well as additional datasets that should be considered within each category.

·         Dataset Names.  Review Datasets and add additional similar names of datasets as we seek to standardize on naming convention (AKA names could be used in metadata).

·         Standards Inventory. Contribute to the inventory of existing data standards, organizations and current initiatives.

We’re hoping to crowdsource a lot of information initially and seek to create collaboration with other local to global organizations and we’re having some of those discussions now.  This is a community project and we would love to have an army of volunteers on this one – there’s LOTS to be done.

 

Cheers  Jury Konga, Co-Founder
Canadian Open Data Institute

 

 

 


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Re: Open Data Standards Initiative

James McKinney-2
<base href="x-msg://4637/">
Hi Jury,

Re: Standards inventory, Phil Ashlock got the community involved in curating this list, which is the closest to comprehensive, but can use more work http://wiki.civiccommons.org/Data_Standards In terms of linked data standards, it's possible to discover standards through http://lov.okfn.org/dataset/lov/ and https://joinup.ec.europa.eu/catalogue/all or through ontology search engines like Watson, Swoogle and FalconS. Outside linked data, there's much less interest in comprehensive lists. Wikipedia has a big list of XML-based standards, though: http://en.wikipedia.org/wiki/List_of_XML_markup_languages

There are so many standards and standards bodies, that a question that's easier to answer is "what shared data formats for X are popular and/or good?" It's generally much easier to start with a specific theme, e.g. budget data or transit data, and to then find all relevant standards, than to try to describe the entire world of data standards.

Re: Data categories, we're talking about developing a controlled vocabulary/thesaurus for categorizing datasets. I don't think datasets are that different from other types of content, e.g. books, and so it should be possible to reuse an existing vocabulary (or a subset of one); that would be a smart place to start anyway, rather than doing things from scratch. Librarians are the experts in these. For examples of such thesauri, see http://www.w3.org/2001/sw/wiki/SKOS/Datasets

Re: Dataset names, I think it's better to tag datasets with standard labels (e.g. from the list of data categories) than to require that the names of datasets be the same everywhere. Jurisdictions will always have reasons for naming things a little differently. The best we can hope for is consistent tagging of those datasets.

James


On 2014-01-15, at 9:47 AM, Jury Konga wrote:

Apologies for cross-posting
 
Good morning folks
 
We’re hoping to get the Canadian open data community to participate in an open data standards initiative.  There is an increasing amount of discussion and activity around standards related to open data.  There are many great initiatives underway such as Open North’s Open 511 and other efforts underway in the international community (e.g. Citadel on the Move) both within government as well as the for profit and non-profit community.  The Canadian Open Data Institute has initiated a project called the Open Data Reference Model which can found hereopendatainstitute.ca/projects/open-data-reference-model/    There is a link in the project description to an editable Google doc that everyone can contribute to.
 
The tasks set out for the project focus on:
·         Data Categories.  Provide feedback on categories that datasets are included in as well as additional datasets that should be considered within each category.
·         Dataset Names.  Review Datasets and add additional similar names of datasets as we seek to standardize on naming convention (AKA names could be used in metadata).

·         Standards Inventory. Contribute to the inventory of existing data standards, organizations and current initiatives.

We’re hoping to crowdsource a lot of information initially and seek to create collaboration with other local to global organizations and we’re having some of those discussions now.  This is a community project and we would love to have an army of volunteers on this one – there’s LOTS to be done.
 
Cheers  Jury Konga, Co-Founder
Canadian Open Data Institute
 
 
 
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Re: Open Data Standards Initiative

James McKinney-2
Btw, Liam Currie's thesis and supporting Excel spreadsheets are a good starting point, both in terms of what datasets are currently published in Canadian open data catalogs and in terms of identifying categories: https://www.dropbox.com/sh/g3ofh8r0mk9i72v/sAzYOeeSSf

On 2014-01-15, at 5:21 PM, James McKinney wrote:

<base href="x-msg://4637/">
Hi Jury,

Re: Standards inventory, Phil Ashlock got the community involved in curating this list, which is the closest to comprehensive, but can use more work http://wiki.civiccommons.org/Data_Standards In terms of linked data standards, it's possible to discover standards through http://lov.okfn.org/dataset/lov/ and https://joinup.ec.europa.eu/catalogue/all or through ontology search engines like Watson, Swoogle and FalconS. Outside linked data, there's much less interest in comprehensive lists. Wikipedia has a big list of XML-based standards, though: http://en.wikipedia.org/wiki/List_of_XML_markup_languages

There are so many standards and standards bodies, that a question that's easier to answer is "what shared data formats for X are popular and/or good?" It's generally much easier to start with a specific theme, e.g. budget data or transit data, and to then find all relevant standards, than to try to describe the entire world of data standards.

Re: Data categories, we're talking about developing a controlled vocabulary/thesaurus for categorizing datasets. I don't think datasets are that different from other types of content, e.g. books, and so it should be possible to reuse an existing vocabulary (or a subset of one); that would be a smart place to start anyway, rather than doing things from scratch. Librarians are the experts in these. For examples of such thesauri, see http://www.w3.org/2001/sw/wiki/SKOS/Datasets

Re: Dataset names, I think it's better to tag datasets with standard labels (e.g. from the list of data categories) than to require that the names of datasets be the same everywhere. Jurisdictions will always have reasons for naming things a little differently. The best we can hope for is consistent tagging of those datasets.

James


On 2014-01-15, at 9:47 AM, Jury Konga wrote:

Apologies for cross-posting
 
Good morning folks
 
We’re hoping to get the Canadian open data community to participate in an open data standards initiative.  There is an increasing amount of discussion and activity around standards related to open data.  There are many great initiatives underway such as Open North’s Open 511 and other efforts underway in the international community (e.g. Citadel on the Move) both within government as well as the for profit and non-profit community.  The Canadian Open Data Institute has initiated a project called the Open Data Reference Model which can found hereopendatainstitute.ca/projects/open-data-reference-model/    There is a link in the project description to an editable Google doc that everyone can contribute to.
 
The tasks set out for the project focus on:
·         Data Categories.  Provide feedback on categories that datasets are included in as well as additional datasets that should be considered within each category.
·         Dataset Names.  Review Datasets and add additional similar names of datasets as we seek to standardize on naming convention (AKA names could be used in metadata).

·         Standards Inventory. Contribute to the inventory of existing data standards, organizations and current initiatives.

We’re hoping to crowdsource a lot of information initially and seek to create collaboration with other local to global organizations and we’re having some of those discussions now.  This is a community project and we would love to have an army of volunteers on this one – there’s LOTS to be done.
 
Cheers  Jury Konga, Co-Founder
Canadian Open Data Institute
 
 
 
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Re: Open Data Standards Initiative

Gerry Tychon-2
In reply to this post by James McKinney-2
James ...

You raise some good points and I think it would be wise for any activity to be focused. From Jury's original links, it seems that investigating taxonomies related to a specific domain (e.g., municipal data) would be more manageable.

As for standards, these are not real standards that are official. The standards process is long (as I can attest from membership work with the CGSB). Rather, I look at them as community based best practices. And sometimes the process can give us a better understanding of the problem as a whole.

... gerry



On Wed, Jan 15, 2014 at 3:21 PM, James McKinney <[hidden email]> wrote:
Hi Jury,

Re: Standards inventory, Phil Ashlock got the community involved in curating this list, which is the closest to comprehensive, but can use more work http://wiki.civiccommons.org/Data_Standards In terms of linked data standards, it's possible to discover standards through http://lov.okfn.org/dataset/lov/ and https://joinup.ec.europa.eu/catalogue/all or through ontology search engines like Watson, Swoogle and FalconS. Outside linked data, there's much less interest in comprehensive lists. Wikipedia has a big list of XML-based standards, though: http://en.wikipedia.org/wiki/List_of_XML_markup_languages

There are so many standards and standards bodies, that a question that's easier to answer is "what shared data formats for X are popular and/or good?" It's generally much easier to start with a specific theme, e.g. budget data or transit data, and to then find all relevant standards, than to try to describe the entire world of data standards.

Re: Data categories, we're talking about developing a controlled vocabulary/thesaurus for categorizing datasets. I don't think datasets are that different from other types of content, e.g. books, and so it should be possible to reuse an existing vocabulary (or a subset of one); that would be a smart place to start anyway, rather than doing things from scratch. Librarians are the experts in these. For examples of such thesauri, see http://www.w3.org/2001/sw/wiki/SKOS/Datasets

Re: Dataset names, I think it's better to tag datasets with standard labels (e.g. from the list of data categories) than to require that the names of datasets be the same everywhere. Jurisdictions will always have reasons for naming things a little differently. The best we can hope for is consistent tagging of those datasets.

James


On 2014-01-15, at 9:47 AM, Jury Konga wrote:

Apologies for cross-posting
 
Good morning folks
 
We’re hoping to get the Canadian open data community to participate in an open data standards initiative.  There is an increasing amount of discussion and activity around standards related to open data.  There are many great initiatives underway such as Open North’s Open 511 and other efforts underway in the international community (e.g. Citadel on the Move) both within government as well as the for profit and non-profit community.  The Canadian Open Data Institute has initiated a project called the Open Data Reference Model which can found hereopendatainstitute.ca/projects/open-data-reference-model/    There is a link in the project description to an editable Google doc that everyone can contribute to.
 
The tasks set out for the project focus on:
·         Data Categories.  Provide feedback on categories that datasets are included in as well as additional datasets that should be considered within each category.
·         Dataset Names.  Review Datasets and add additional similar names of datasets as we seek to standardize on naming convention (AKA names could be used in metadata).

·         Standards Inventory. Contribute to the inventory of existing data standards, organizations and current initiatives.

We’re hoping to crowdsource a lot of information initially and seek to create collaboration with other local to global organizations and we’re having some of those discussions now.  This is a community project and we would love to have an army of volunteers on this one – there’s LOTS to be done.
 
Cheers  Jury Konga, Co-Founder
Canadian Open Data Institute
 
 
 
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Re: Open Data Standards Initiative

James McKinney-2
Yes, I'm using the word "standard" loosely in the way that most people use it; "specifications" would be a more appropriate technical term. Note that some of the linked specifications are in fact standards. (The IETF and W3C, among other bodies, don't call their work "standards", because some would consider only OSI-approved, etc. work to be a "standard", but do we really want to be that picky?) Anyway, I would certainly agree that some of the specifications are closer to standards than others, and it's important to look at  the process that produced the so-called standard in each case. Also, I linked to large lists of standards, because you'll find standards relevant to municipal data within all of them. A municipal-specific ontology is http://vocab.muni-ontology.org/ with more info at http://demo.citizen-dan.org/muni


On 2014-01-15, at 5:44 PM, Gerry Tychon wrote:

James ...

You raise some good points and I think it would be wise for any activity to be focused. From Jury's original links, it seems that investigating taxonomies related to a specific domain (e.g., municipal data) would be more manageable.

As for standards, these are not real standards that are official. The standards process is long (as I can attest from membership work with the CGSB). Rather, I look at them as community based best practices. And sometimes the process can give us a better understanding of the problem as a whole.

... gerry



On Wed, Jan 15, 2014 at 3:21 PM, James McKinney <[hidden email]> wrote:
Hi Jury,

Re: Standards inventory, Phil Ashlock got the community involved in curating this list, which is the closest to comprehensive, but can use more work http://wiki.civiccommons.org/Data_Standards In terms of linked data standards, it's possible to discover standards through http://lov.okfn.org/dataset/lov/ and https://joinup.ec.europa.eu/catalogue/all or through ontology search engines like Watson, Swoogle and FalconS. Outside linked data, there's much less interest in comprehensive lists. Wikipedia has a big list of XML-based standards, though: http://en.wikipedia.org/wiki/List_of_XML_markup_languages

There are so many standards and standards bodies, that a question that's easier to answer is "what shared data formats for X are popular and/or good?" It's generally much easier to start with a specific theme, e.g. budget data or transit data, and to then find all relevant standards, than to try to describe the entire world of data standards.

Re: Data categories, we're talking about developing a controlled vocabulary/thesaurus for categorizing datasets. I don't think datasets are that different from other types of content, e.g. books, and so it should be possible to reuse an existing vocabulary (or a subset of one); that would be a smart place to start anyway, rather than doing things from scratch. Librarians are the experts in these. For examples of such thesauri, see http://www.w3.org/2001/sw/wiki/SKOS/Datasets

Re: Dataset names, I think it's better to tag datasets with standard labels (e.g. from the list of data categories) than to require that the names of datasets be the same everywhere. Jurisdictions will always have reasons for naming things a little differently. The best we can hope for is consistent tagging of those datasets.

James


On 2014-01-15, at 9:47 AM, Jury Konga wrote:

Apologies for cross-posting
 
Good morning folks
 
We’re hoping to get the Canadian open data community to participate in an open data standards initiative.  There is an increasing amount of discussion and activity around standards related to open data.  There are many great initiatives underway such as Open North’s Open 511 and other efforts underway in the international community (e.g. Citadel on the Move) both within government as well as the for profit and non-profit community.  The Canadian Open Data Institute has initiated a project called the Open Data Reference Model which can found hereopendatainstitute.ca/projects/open-data-reference-model/    There is a link in the project description to an editable Google doc that everyone can contribute to.
 
The tasks set out for the project focus on:
·         Data Categories.  Provide feedback on categories that datasets are included in as well as additional datasets that should be considered within each category.
·         Dataset Names.  Review Datasets and add additional similar names of datasets as we seek to standardize on naming convention (AKA names could be used in metadata).

·         Standards Inventory. Contribute to the inventory of existing data standards, organizations and current initiatives.

We’re hoping to crowdsource a lot of information initially and seek to create collaboration with other local to global organizations and we’re having some of those discussions now.  This is a community project and we would love to have an army of volunteers on this one – there’s LOTS to be done.
 
Cheers  Jury Konga, Co-Founder
Canadian Open Data Institute
 
 
 
_______________________________________________
CivicAccess-discuss mailing list
[hidden email]
http://lists.pwd.ca/mailman/listinfo/civicaccess-discuss


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Re: Open Data Standards Initiative

Jury Konga
In reply to this post by James McKinney-2
<base href="x-msg://4637/">

James,

 

Thanks for the feedback – great as always!  I agree with you about the approach to tackle standards on a thematic basis (and ongoing work exists in these areas) and it would also be great to get the librarians together with the data/information management folks in a same room to help set a practical approach to move the standards/specifications agenda forward – short term actions with longer term goals.

 

I was aware of the Civic Commons site but like you unclear how it’s being maintained – wishing there was one site that had references to all the other sites.  Thx again.

 

Cheers  Jury

 

 

From: [hidden email] [mailto:[hidden email]] On Behalf Of James McKinney
Sent: January-15-14 5:31 PM
To: civicaccess discuss
Subject: Re: [CivicAccess-discuss] Open Data Standards Initiative

 

Btw, Liam Currie's thesis and supporting Excel spreadsheets are a good starting point, both in terms of what datasets are currently published in Canadian open data catalogs and in terms of identifying categories: https://www.dropbox.com/sh/g3ofh8r0mk9i72v/sAzYOeeSSf

 

On 2014-01-15, at 5:21 PM, James McKinney wrote:



Hi Jury,

 

Re: Standards inventory, Phil Ashlock got the community involved in curating this list, which is the closest to comprehensive, but can use more work http://wiki.civiccommons.org/Data_Standards In terms of linked data standards, it's possible to discover standards through http://lov.okfn.org/dataset/lov/ and https://joinup.ec.europa.eu/catalogue/all or through ontology search engines like Watson, Swoogle and FalconS. Outside linked data, there's much less interest in comprehensive lists. Wikipedia has a big list of XML-based standards, though: http://en.wikipedia.org/wiki/List_of_XML_markup_languages

 

There are so many standards and standards bodies, that a question that's easier to answer is "what shared data formats for X are popular and/or good?" It's generally much easier to start with a specific theme, e.g. budget data or transit data, and to then find all relevant standards, than to try to describe the entire world of data standards.

 

Re: Data categories, we're talking about developing a controlled vocabulary/thesaurus for categorizing datasets. I don't think datasets are that different from other types of content, e.g. books, and so it should be possible to reuse an existing vocabulary (or a subset of one); that would be a smart place to start anyway, rather than doing things from scratch. Librarians are the experts in these. For examples of such thesauri, see http://www.w3.org/2001/sw/wiki/SKOS/Datasets

 

Re: Dataset names, I think it's better to tag datasets with standard labels (e.g. from the list of data categories) than to require that the names of datasets be the same everywhere. Jurisdictions will always have reasons for naming things a little differently. The best we can hope for is consistent tagging of those datasets.

 

James

 

 

On 2014-01-15, at 9:47 AM, Jury Konga wrote:



Apologies for cross-posting

 

Good morning folks

 

We’re hoping to get the Canadian open data community to participate in an open data standards initiative.  There is an increasing amount of discussion and activity around standards related to open data.  There are many great initiatives underway such as Open North’s Open 511 and other efforts underway in the international community (e.g. Citadel on the Move) both within government as well as the for profit and non-profit community.  The Canadian Open Data Institute has initiated a project called the Open Data Reference Model which can found hereopendatainstitute.ca/projects/open-data-reference-model/    There is a link in the project description to an editable Google doc that everyone can contribute to.

 

The tasks set out for the project focus on:

·         Data Categories.  Provide feedback on categories that datasets are included in as well as additional datasets that should be considered within each category.

·         Dataset Names.  Review Datasets and add additional similar names of datasets as we seek to standardize on naming convention (AKA names could be used in metadata).

·         Standards Inventory. Contribute to the inventory of existing data standards, organizations and current initiatives.

We’re hoping to crowdsource a lot of information initially and seek to create collaboration with other local to global organizations and we’re having some of those discussions now.  This is a community project and we would love to have an army of volunteers on this one – there’s LOTS to be done.

 

Cheers  Jury Konga, Co-Founder
Canadian Open Data Institute

 

 

 

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[hidden email]
http://lists.pwd.ca/mailman/listinfo/civicaccess-discuss

 

 


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Re: Open Data Standards Initiative

Jury Konga
In reply to this post by James McKinney-2

Gerry – thanks for your comments and indeed the start was a focus on municipal data where a lot of the open data activity is happening.  There are initiatives happening internationally such as “Citadel on the Move”  http://www.citadelonthemove.eu/  that I mentioned earlier.  Like you, I have “experienced” the standards process through CGSB and ISO … in a word, painful!  I’ve seen the open data community accomplish much more in short timeframes than national/international bodies have in the multi-year … yes, I believe in structured approach as well but the community needs shorter term answers to issues.  ISO should think about becoming open and stop charging people for their standards.

 

James, thanks again for your continued contributions.  The Municipal Information Systems Association in Canada some time ago developed the Municipal Reference Model (MRM v2 now) which standardized the definition of municipal services – there were similar models developed that the provincial and federal levels I believe.  I took some time with one of the MRM  people and developed the MDRM.  There are multiple taxonomies/folksonomies around municipal data – so just trying to bring some convergence around these.  Looking forward to further suggestions on how to proceed as a community initiative.

 

Cheers  Jury

 

From: [hidden email] [mailto:[hidden email]] On Behalf Of James McKinney
Sent: January-15-14 6:35 PM
To: civicaccess discuss
Subject: Re: [CivicAccess-discuss] Open Data Standards Initiative

 

Yes, I'm using the word "standard" loosely in the way that most people use it; "specifications" would be a more appropriate technical term. Note that some of the linked specifications are in fact standards. (The IETF and W3C, among other bodies, don't call their work "standards", because some would consider only OSI-approved, etc. work to be a "standard", but do we really want to be that picky?) Anyway, I would certainly agree that some of the specifications are closer to standards than others, and it's important to look at  the process that produced the so-called standard in each case. Also, I linked to large lists of standards, because you'll find standards relevant to municipal data within all of them. A municipal-specific ontology is http://vocab.muni-ontology.org/ with more info at http://demo.citizen-dan.org/muni

 

 

On 2014-01-15, at 5:44 PM, Gerry Tychon wrote:



James ...

You raise some good points and I think it would be wise for any activity to be focused. From Jury's original links, it seems that investigating taxonomies related to a specific domain (e.g., municipal data) would be more manageable.

As for standards, these are not real standards that are official. The standards process is long (as I can attest from membership work with the CGSB). Rather, I look at them as community based best practices. And sometimes the process can give us a better understanding of the problem as a whole.

... gerry

 

On Wed, Jan 15, 2014 at 3:21 PM, James McKinney <[hidden email]> wrote:

Hi Jury,

 

Re: Standards inventory, Phil Ashlock got the community involved in curating this list, which is the closest to comprehensive, but can use more work http://wiki.civiccommons.org/Data_Standards In terms of linked data standards, it's possible to discover standards through http://lov.okfn.org/dataset/lov/ and https://joinup.ec.europa.eu/catalogue/all or through ontology search engines like Watson, Swoogle and FalconS. Outside linked data, there's much less interest in comprehensive lists. Wikipedia has a big list of XML-based standards, though: http://en.wikipedia.org/wiki/List_of_XML_markup_languages

 

There are so many standards and standards bodies, that a question that's easier to answer is "what shared data formats for X are popular and/or good?" It's generally much easier to start with a specific theme, e.g. budget data or transit data, and to then find all relevant standards, than to try to describe the entire world of data standards.

 

Re: Data categories, we're talking about developing a controlled vocabulary/thesaurus for categorizing datasets. I don't think datasets are that different from other types of content, e.g. books, and so it should be possible to reuse an existing vocabulary (or a subset of one); that would be a smart place to start anyway, rather than doing things from scratch. Librarians are the experts in these. For examples of such thesauri, see http://www.w3.org/2001/sw/wiki/SKOS/Datasets

 

Re: Dataset names, I think it's better to tag datasets with standard labels (e.g. from the list of data categories) than to require that the names of datasets be the same everywhere. Jurisdictions will always have reasons for naming things a little differently. The best we can hope for is consistent tagging of those datasets.

 

James

 

 

On 2014-01-15, at 9:47 AM, Jury Konga wrote:

 

Apologies for cross-posting

 

Good morning folks

 

We’re hoping to get the Canadian open data community to participate in an open data standards initiative.  There is an increasing amount of discussion and activity around standards related to open data.  There are many great initiatives underway such as Open North’s Open 511 and other efforts underway in the international community (e.g. Citadel on the Move) both within government as well as the for profit and non-profit community.  The Canadian Open Data Institute has initiated a project called the Open Data Reference Model which can found hereopendatainstitute.ca/projects/open-data-reference-model/    There is a link in the project description to an editable Google doc that everyone can contribute to.

 

The tasks set out for the project focus on:

·         Data Categories.  Provide feedback on categories that datasets are included in as well as additional datasets that should be considered within each category.

·         Dataset Names.  Review Datasets and add additional similar names of datasets as we seek to standardize on naming convention (AKA names could be used in metadata).

·         Standards Inventory. Contribute to the inventory of existing data standards, organizations and current initiatives.

We’re hoping to crowdsource a lot of information initially and seek to create collaboration with other local to global organizations and we’re having some of those discussions now.  This is a community project and we would love to have an army of volunteers on this one – there’s LOTS to be done.

 

Cheers  Jury Konga, Co-Founder
Canadian Open Data Institute

 

 

 

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http://lists.pwd.ca/mailman/listinfo/civicaccess-discuss

 


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