Making Data Count support

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Sebastian Karcher

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May 15, 2018, 10:32:18 AM5/15/18
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I think this is probably a topic for a community call (and I'll likely miss the next one), but raising it here in case anyone is already working on this and/or if someone wants to organize something for a call:

I'm just on a DataCite call where they present on the current status of "Make Data Count" https://makedatacount.org/ , a Moore, Sloan, NSF funded project to collect and standardize metrics on data use. They are now close to releasing a minimal viable product (MVP) and I think it'd be great for Dataverse to built in reporting.

Here's what they currently advise with some further links:

After the MVP release, you can start sending usage stats to the Data Usage API. There are very simple steps to do so:


  1. Process your usage logs following the MDC Code of Practice.

    1. There is  pre-print describing everything you need to do: https://peerj.com/preprints/26505/

    2. The Dash repository has already developed an open source implementation of the log processing capabilities needed. Here it is the Dash How-to-Guideline: https://docs.google.com/document/d/1LNlPsdBUdHnE40RePsr1ipRj9DH6G_W8pbOU19JIs9I/edit#heading=h.lodhpsa1knkj

  2. Read the documentation of the Data Usage API in order to prepare usage metrics reports.

    1. There is a small guide in:  https://github.com/datacite/sashimi and

    2. Live API reference in https://support.datacite.org/v1.1/reference#metrics-api

  3. Request DataCite for your credentials to push usage metrics to the Data Usage API.

  4. Push your usage metrics.


danny...@g.harvard.edu

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May 15, 2018, 10:57:44 AM5/15/18
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Hi Sebastian, thanks for bringing this up! We've been following this work as well and recently went out for a grant to support this integration (no news yet). We'll be happy to discuss.

Sebastian Karcher

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May 15, 2018, 11:15:36 AM5/15/18
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Ah, great to hear & thanks for the update. I don't think we currently have any capacity to help work on this, but I'm very happy to discuss strategies and make connections. E.g. Kristian, the developer working on this on the DataCite end, has indicated that he'd be willing to join a call if there's interest.

Sebastian

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Philip Durbin

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Jun 5, 2018, 12:39:47 PM6/5/18
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"One year into our Sloan funded Make Data Count project, we are proud to release Version 1 of standardized data usage and citation metrics!" https://makedatacount.org/2018/06/05/its-time-to-make-your-data-count/

On Tue, May 15, 2018 at 11:15 AM, Sebastian Karcher <kar...@u.northwestern.edu> wrote:
Ah, great to hear & thanks for the update. I don't think we currently have any capacity to help work on this, but I'm very happy to discuss strategies and make connections. E.g. Kristian, the developer working on this on the DataCite end, has indicated that he'd be willing to join a call if there's interest.

Sebastian
On Tue, May 15, 2018 at 10:57 AM, <danny...@g.harvard.edu> wrote:
Hi Sebastian, thanks for bringing this up! We've been following this work as well and recently went out for a grant to support this integration (no news yet). We'll be happy to discuss.

On Tuesday, May 15, 2018 at 10:32:18 AM UTC-4, Sebastian Karcher wrote:
I think this is probably a topic for a community call (and I'll likely miss the next one), but raising it here in case anyone is already working on this and/or if someone wants to organize something for a call:

I'm just on a DataCite call where they present on the current status of "Make Data Count" https://makedatacount.org/ , a Moore, Sloan, NSF funded project to collect and standardize metrics on data use. They are now close to releasing a minimal viable product (MVP) and I think it'd be great for Dataverse to built in reporting.

Here's what they currently advise with some further links:

After the MVP release, you can start sending usage stats to the Data Usage API. There are very simple steps to do so:


  1. Process your usage logs following the MDC Code of Practice.

    1. There is  pre-print describing everything you need to do: https://peerj.com/preprints/26505/

    2. The Dash repository has already developed an open source implementation of the log processing capabilities needed. Here it is the Dash How-to-Guideline: https://docs.google.com/document/d/1LNlPsdBUdHnE40RePsr1ipRj9DH6G_W8pbOU19JIs9I/edit#heading=h.lodhpsa1knkj

  2. Read the documentation of the Data Usage API in order to prepare usage metrics reports.

    1. There is a small guide in:  https://github.com/datacite/sashimi and

    2. Live API reference in https://support.datacite.org/v1.1/reference#metrics-api

  3. Request DataCite for your credentials to push usage metrics to the Data Usage API.

  4. Push your usage metrics.


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Sebastian Karcher

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Jul 10, 2018, 11:22:47 AM7/10/18
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Any update on this? In all honesty, we almost certainly won't have time to work on this at QDR, but remain very interested.
Is there a ticket to track this? OK to create one otherwise?

Just listening in on the CDL/DataCite/DataOne webinar and they'
On Tuesday, June 5, 2018 at 12:39:47 PM UTC-4, Philip Durbin wrote:
"One year into our Sloan funded Make Data Count project, we are proud to release Version 1 of standardized data usage and citation metrics!" https://makedatacount.org/2018/06/05/its-time-to-make-your-data-count/
On Tue, May 15, 2018 at 11:15 AM, Sebastian Karcher <kar...@u.northwestern.edu> wrote:
Ah, great to hear & thanks for the update. I don't think we currently have any capacity to help work on this, but I'm very happy to discuss strategies and make connections. E.g. Kristian, the developer working on this on the DataCite end, has indicated that he'd be willing to join a call if there's interest.

Sebastian
On Tue, May 15, 2018 at 10:57 AM, <danny...@g.harvard.edu> wrote:
Hi Sebastian, thanks for bringing this up! We've been following this work as well and recently went out for a grant to support this integration (no news yet). We'll be happy to discuss.

On Tuesday, May 15, 2018 at 10:32:18 AM UTC-4, Sebastian Karcher wrote:
I think this is probably a topic for a community call (and I'll likely miss the next one), but raising it here in case anyone is already working on this and/or if someone wants to organize something for a call:

I'm just on a DataCite call where they present on the current status of "Make Data Count" https://makedatacount.org/ , a Moore, Sloan, NSF funded project to collect and standardize metrics on data use. They are now close to releasing a minimal viable product (MVP) and I think it'd be great for Dataverse to built in reporting.

Here's what they currently advise with some further links:

After the MVP release, you can start sending usage stats to the Data Usage API. There are very simple steps to do so:


  1. Process your usage logs following the MDC Code of Practice.

    1. There is  pre-print describing everything you need to do: https://peerj.com/preprints/26505/

    2. The Dash repository has already developed an open source implementation of the log processing capabilities needed. Here it is the Dash How-to-Guideline: https://docs.google.com/document/d/1LNlPsdBUdHnE40RePsr1ipRj9DH6G_W8pbOU19JIs9I/edit#heading=h.lodhpsa1knkj

  2. Read the documentation of the Data Usage API in order to prepare usage metrics reports.

    1. There is a small guide in:  https://github.com/datacite/sashimi and

    2. Live API reference in https://support.datacite.org/v1.1/reference#metrics-api

  3. Request DataCite for your credentials to push usage metrics to the Data Usage API.

  4. Push your usage metrics.


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Sebastian Karcher, PhD
www.sebastiankarcher.com

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Durand, Gustavo

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Jul 10, 2018, 11:29:09 AM7/10/18
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We're watching a webinar about it as we speak! But yes, if no github issue already exists, please feel free to create.

Thanks,
Gustavo

On Tue, Jul 10, 2018 at 11:22 AM Sebastian Karcher <sebastiank...@u.northwestern.edu> wrote:
Any update on this? In all honesty, we almost certainly won't have time to work on this at QDR, but remain very interested.
Is there a ticket to track this? OK to create one otherwise?

Just listening in on the CDL/DataCite/DataOne webinar and they'
On Tuesday, June 5, 2018 at 12:39:47 PM UTC-4, Philip Durbin wrote:
"One year into our Sloan funded Make Data Count project, we are proud to release Version 1 of standardized data usage and citation metrics!" https://makedatacount.org/2018/06/05/its-time-to-make-your-data-count/
On Tue, May 15, 2018 at 11:15 AM, Sebastian Karcher <kar...@u.northwestern.edu> wrote:
Ah, great to hear & thanks for the update. I don't think we currently have any capacity to help work on this, but I'm very happy to discuss strategies and make connections. E.g. Kristian, the developer working on this on the DataCite end, has indicated that he'd be willing to join a call if there's interest.

Sebastian
On Tue, May 15, 2018 at 10:57 AM, <danny...@g.harvard.edu> wrote:
Hi Sebastian, thanks for bringing this up! We've been following this work as well and recently went out for a grant to support this integration (no news yet). We'll be happy to discuss.

On Tuesday, May 15, 2018 at 10:32:18 AM UTC-4, Sebastian Karcher wrote:
I think this is probably a topic for a community call (and I'll likely miss the next one), but raising it here in case anyone is already working on this and/or if someone wants to organize something for a call:

I'm just on a DataCite call where they present on the current status of "Make Data Count" https://makedatacount.org/ , a Moore, Sloan, NSF funded project to collect and standardize metrics on data use. They are now close to releasing a minimal viable product (MVP) and I think it'd be great for Dataverse to built in reporting.

Here's what they currently advise with some further links:

After the MVP release, you can start sending usage stats to the Data Usage API. There are very simple steps to do so:


  1. Process your usage logs following the MDC Code of Practice.

    1. There is  pre-print describing everything you need to do: https://peerj.com/preprints/26505/

    2. The Dash repository has already developed an open source implementation of the log processing capabilities needed. Here it is the Dash How-to-Guideline: https://docs.google.com/document/d/1LNlPsdBUdHnE40RePsr1ipRj9DH6G_W8pbOU19JIs9I/edit#heading=h.lodhpsa1knkj

  2. Read the documentation of the Data Usage API in order to prepare usage metrics reports.

    1. There is a small guide in:  https://github.com/datacite/sashimi and

    2. Live API reference in https://support.datacite.org/v1.1/reference#metrics-api

  3. Request DataCite for your credentials to push usage metrics to the Data Usage API.

  4. Push your usage metrics.


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Sebastian Karcher

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Jul 10, 2018, 11:46:54 AM7/10/18
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me too -- timing of this wasn't a co-incidence ;)
https://github.com/IQSS/dataverse/issues/4821
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danny...@g.harvard.edu

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Jul 10, 2018, 2:59:20 PM7/10/18
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Thanks for checking in and creating the issue, Sebastian. Aforementioned grant has been granted (more soon on that). We'll plan to implement Making Data Count support as one of the grant deliverables.

- Danny

Philip Durbin

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Nov 19, 2018, 4:39:17 PM11/19/18
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I'm practicing a bit of "documentation driven development" by stubbing out my understanding of what Make Data Count support would look like from the Dataverse perspective. If you'd like to give some feedback on what I just wrote, please see https://github.com/IQSS/dataverse/issues/4821#issuecomment-440050085

Thanks!

Phil

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