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Persistent identifiers for datasets must support multiple levels of granularity to support both the
citation of a specific version and/or individual dataset, as well the citation of an unspecified
version of a dataset and/or a collection of primary data.
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Yes, of course, I agree :)
While this is probably more important for software citation, I think having PIDs for individual versions of a dataset is basically a must going forward. How else are you going to have machine-actionable citations. Or, in the word of some obscure working paper on the topic:
Persistent identifiers for datasets must support multiple levels of granularity to support both the
citation of a specific version and/or individual dataset, as well the citation of an unspecified
version of a dataset and/or a collection of primary data.I also think the Zenodo implementation is exactly right in the choices they made on how to do this (i.e. only force version changes on file changes -- similar to what DV does already -- not use suffixes)
On Thu, Jun 1, 2017 at 6:26 AM, Philip Durbin <philip...@harvard.edu> wrote:
Thanks for the link to the Zenodo article. There was some lively discussion on this topic on the Force11 Software Citation Working Group* mailing list in early April under the thread "Question: Who does DOI versioning well [and doesn't rely on dot suffixing to do it]" but I'm not aware of any plans to change the way Dataverse handles DOIs in the context of versioning.What do you and others from the community think?Phil
On Thu, Jun 1, 2017 at 1:49 AM, Philipp at UiT <uit.op...@gmail.com> wrote:
I just saw that Zenodo has introduced DOI versioning, cf. https://blogs.openaire.eu/?p=2010.I this something Dataverse is considering?Best,Philipp
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Hi all,
We've had an ongoing discussion here at the Australian Data Archive (ADA) about this. I agree with Sebastian's points, particularly that the end-game here is machine-actionable citations. The DV DOI as it currently stands is NOT machine-actionable as best I can tell - or am I missing something? Although you can reference a dataset through a combination of the DOI and the version number, I think that is sub-optimal - why not just have a DOI assigned to the specific version.
It's problematic for us in terms of our longitudinal and time series datasets, where each new wave of data collected results in a new release (version) - but right now NOT a new DOI. We will be implementing a policy where each release is established as a new dataset, given Dataverse's current versioning approach. This will allow a user can reference the specific release/version of the data - but I think the better option really would be to increment the DOI with each version.
(There is an additional complication when you think about variable metadata - if I change a label or a column name, should these trigger a new version? And a new DOI?)
ADA staff would be happy to contribute to a more detailed discussion if that would be of interest.
Regards,
Steve
-------------------------------Dr. Steven McEachernDirectorAustralian Data Archive-------------------------------
On Thursday, June 1, 2017 at 10:47:56 PM UTC+10, Merce wrote:
Yes, of course, I agree :)
While this is probably more important for software citation, I think having PIDs for individual versions of a dataset is basically a must going forward. How else are you going to have machine-actionable citations. Or, in the word of some obscure working paper on the topic:
Persistent identifiers for datasets must support multiple levels of granularity to support both the
citation of a specific version and/or individual dataset, as well the citation of an unspecified
version of a dataset and/or a collection of primary data.I also think the Zenodo implementation is exactly right in the choices they made on how to do this (i.e. only force version changes on file changes -- similar to what DV does already -- not use suffixes)
On Thu, Jun 1, 2017 at 6:26 AM, Philip Durbin <philip...@harvard.edu> wrote:
Thanks for the link to the Zenodo article. There was some lively discussion on this topic on the Force11 Software Citation Working Group* mailing list in early April under the thread "Question: Who does DOI versioning well [and doesn't rely on dot suffixing to do it]" but I'm not aware of any plans to change the way Dataverse handles DOIs in the context of versioning.
What do you and others from the community think?
Phil
On Thu, Jun 1, 2017 at 1:49 AM, Philipp at UiT <uit.op...@gmail.com> wrote:
I just saw that Zenodo has introduced DOI versioning, cf. https://blogs.openaire.eu/?p=2010.I this something Dataverse is considering?
Best,Philipp
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Davey, Rohan, 2017, "Replication Data for: "Title", doi:10.7910/DVN/YP1HS9, Harvard Dataverse, V2
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PhilThanks!Thanks, Sebastian. I know this thread is about DOIs but I feel like the conversation could be enriched by me mentioning that when a dataset includes at least one file that has successfully ingested as tabular data, a UNF is generated at the dataset level and added to the citation. Of course, this only helps if files are tabular and were successfully ingested. And the dataset-level UNF is calculated only from files that were successfully ingested (and each have a file level UNF) so it's not a great solution for when researchers don't have exclusively tabular data. For more on UNF, see http://guides.dataverse.org/en/4.8.5/developers/unfAnyway, I hear what you're saying. If you have not already created a GitHub issue describing the feature you want, please consider going ahead and creating one.
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I looked to see if we already had an issue for version PIDs, but could not find one. I do plan on championing version PIDs soon after we get files done (we already started to think about them and how they could work as we were getting that issue done).
On Thu, Mar 8, 2018 at 1:17 PM, Durbin, Philip <philip...@harvard.edu> wrote:
PhilThanks!Thanks, Sebastian. I know this thread is about DOIs but I feel like the conversation could be enriched by me mentioning that when a dataset includes at least one file that has successfully ingested as tabular data, a UNF is generated at the dataset level and added to the citation. Of course, this only helps if files are tabular and were successfully ingested. And the dataset-level UNF is calculated only from files that were successfully ingested (and each have a file level UNF) so it's not a great solution for when researchers don't have exclusively tabular data. For more on UNF, see http://guides.dataverse.org/en/4.8.5/developers/unfAnyway, I hear what you're saying. If you have not already created a GitHub issue describing the feature you want, please consider going ahead and creating one.
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github ticket here: https://github.com/IQSS/dataverse/issues/4499
On Friday, March 9, 2018 at 3:13:55 AM UTC-5, Gustavo Durand wrote:
I looked to see if we already had an issue for version PIDs, but could not find one. I do plan on championing version PIDs soon after we get files done (we already started to think about them and how they could work as we were getting that issue done).
On Thu, Mar 8, 2018 at 1:17 PM, Durbin, Philip <philip...@harvard.edu> wrote:
PhilThanks!Thanks, Sebastian. I know this thread is about DOIs but I feel like the conversation could be enriched by me mentioning that when a dataset includes at least one file that has successfully ingested as tabular data, a UNF is generated at the dataset level and added to the citation. Of course, this only helps if files are tabular and were successfully ingested. And the dataset-level UNF is calculated only from files that were successfully ingested (and each have a file level UNF) so it's not a great solution for when researchers don't have exclusively tabular data. For more on UNF, see http://guides.dataverse.org/en/4.8.5/developers/unfAnyway, I hear what you're saying. If you have not already created a GitHub issue describing the feature you want, please consider going ahead and creating one.
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Hi Philipp,
In both cases ("file replace" or "delete and re-upload"), the new file gets a new DOI. If it helps, think of the DOI as being assigned to a file with a certain checksum, a certain size, etc. This is important for reproducibility.
I believe the only thing to say status-wise about dataset-level DOI versioning in Dataverse is that an issue exists: https://github.com/IQSS/dataverse/issues/4499 . The current workaround is to use a combination of the dataset DOI and the version number (2.0 or whatever).
I hope this helps,
Phil
On Thu, Jan 21, 2021 at 1:17 AM Philipp at UiT <uit.p...@gmail.com> wrote:
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