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Spike: Define a use-case for DDI-CDI support in dataverse
This is in support of:
- an NIH grant "The Harvard Dataverse repository: A generalist repository integrated with a Data Commons",
- Aim 2: Increase support for biomedical and cross-domain metadata standards and controlled vocabularies,
- 1#. expand DDI support to include the recently released DDI-Cross-Domain Integration (DDI-CDI) schema
- Aim 2: Increase support for biomedical and cross-domain metadata standards and controlled vocabularies,
The goal here is to define a use-case for DDI-CDI support in dataverse. The definition of this spike will get better as we work more with NIH. It is likely that the dataverse team will need to work with the other data repository teams on fleshing this out.
More information
There is a lot going on in Aim 2, pasted below.
This question focuses on the first point only, about expanding "DDI support to include the recently released DDI-Cross-Domain Integration (DDI-CDI) schema"
Aim 2:
Increase support for biomedical and cross-domain metadata standards and controlled vocabularies
One of the useful characteristics of the Dataverse open-source software is its extensive support for metadata standards and additional custom metadata. The standards currently supported include the Data Documentation Initiative (DDI), Dublin Core, DataCite, and Schema.org.
In particular, DDI makes a Dataverse repository interoperable even at the variable/attribute level since it supports variable descriptive and statistical metadata. This allows data exploration and analysis tools to integrate easily with the repository and discovery engines to find variable information.
In this project, we propose to
- expand DDI support to include the recently released DDI-Cross-Domain Integration (DDI-CDI) schema,
- build on existing support for biomedical-related standards relevant to NIH-funded research cases, following the recommendations from https://fairsharing.org/,
- expand descriptive and citation metadata to support funding information and related fields, and
- integrate with external services to enable the support of controlled vocabularies for any metadata field, based on standardized, widely used data dictionaries. The HMS Research Data Management group will participate in the development of these standards and vocabularies for biomedical datasets, working directly with research laboratories.