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Related Dataset #9
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How is this different from the |
Related Dataset and Related Code are both subproperties of dct:references. With these properties it is possible to provide links to research datasets and applications which were essential in creation of the described scholarly resource. dct:references may be used of this purpose as well, but unlike Related Dataset and Related Code it does not reveal the nature of the linked object. |
Several comments:
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I agree with Hugh. We should think about the best way to scale this type of information. There could be many different kinds of related resources, and I don't think we want to do properties for all of them. |
In the 32nd meeting, we decided to use dct:source for description of resources that have had an essential role in the production of the described resource. Proposed elements RelatedCode and RelatedDataSet will be dropped. Instead, dct:source will be linked to the type of the source material. This change opens two additional tasks. First, a controlled vocabulary of source materials in required. Software and dataset are obvious choices, but that may not be enough. Be that as it may, adding new terms to the SRAP source type vocabulary will be easier than adding new properties to the SRAP itself. Second, it is necessary to specify syntax for linking the source type to the source specification. |
Can someone help me better understand how making the value of “source” a
_description_ is more functional than making the value of “source” an
_identifier_?
I wasn’t at the 32nd meeting, so I don’t follow the context. It just seems
that the semantics are significantly different from DC and I want to
follow.
Kind regards,
Hugh
On Mon, Aug 7, 2023 at 9:39 AM juhahakala ***@***.***> wrote:
In the 32nd meeting, we decided to use dct:source for description of
resources that have had an essential role in the production of the
described resource. Proposed elements RelatedCode and RelatedDataSet will
be dropped. Instead, dct:source will be linked to the type of the source
material. This change opens two additional tasks. First, a controlled
vocabulary of source materials in required. Software and dataset are
obvious choices, but that may not be enough. Be that as it may, adding new
terms to the SRAP source type vocabulary will be easier than adding new
properties to the SRAP itself. Second, it is necessary to specify syntax
for linking the source type to the source specification.
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@HughP It isn't intended to be a textual description - the related file will be located somewhere with a URL. Ideally, that file will be described with its own metadata, thus constituting a "description". There are a number of different existing metadata schemes that have types that we could use. What we haven't discussed is whether SRAP would define how such files might be described. I'll try to mock up an example. I see this as different from CiTO because the intention here is that these are files that are essential parts of the scholarly work itself, and which can be "published" simultaneously with the article in digital form. I now begin to wonder if this implies a way to package the article and these supporting files together, a kind of directory that would cause them to always be retrieved together. That implies a stronger relationship than |
After reviewing the discussion on how to represent related datasets, I suggest using dct:relation flexibly, with a controlled vocabulary to specify the nature of the relationship. This approach allows for identifying various relationships (like related data, associated software, etc.) clearly and efficiently. Example: Imagine we have Dataset A used to develop a machine learning model in a study. Dataset B is a related dataset generated as an outcome of the study. This relationship could be represented as: http://example.org/datasetA In this example, dct:Type would be part of a controlled vocabulary that specifies Dataset B as a direct outcome of Dataset A, providing clarity about the relationship between the two datasets and enhancing interoperability. |
The new dct:relation now supports this, if you use it to point to a SRAPResource that is a dataset (and provide a COAR Type to indicate that it's a dataset). We just need better guidance in the SRAP specification on how to do this. |
Proposed DCMI Metadata Terms: http://purl.org/dc/terms/relatedDataset
Label: Related Dataset
Dataset referenced in the described resource.
SRAP: Dataset referenced in the described scholarly resource.
Recommended practice is to identify the dataset with a URI identifying either the dataset or a landing page through which the dataset is accessed.
dcterms:relatedDatasethttps://doi.org/10.17605/OSF.IO/B6KJZ</dcterms:relatedDataset>
-- Discussion --
URI will usually be based on PID (such as DOI, as in the example).
DataCite DOIs resolve to the landing page which may contain URI links to 1-n manifestations of the data set. Work level citation should not be a problem in this case.
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