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Publishers refer to both in their lists of recommended repositories, but both services appear to be intended for librarians, curators, publishers and funding agencies instead of the average researcher. The re3data is easily available for download and could be incorporated into our system. It's not clear whether the Bioshare data is available (technically, it could be crawled).
Question: How is our recommender different than these systems? What need are we meeting that these systems don't meet?
Approved and Recommended Repositories
Publishers, funding agencies, research/domain organizations(e.g., AGU, ACM), and libraries often provide lists of recommended or supported repositories for depositing research data. The motivations and requirements are often different, but the lists themselves might serve as the basis for our analysis. We can review these (and other) lists to determine the factors in recommending data repositories to researchers. Note that the Biosharing database already includes information about whether a repository is recommended by a funding agency.
(This list is not exhaustive – it's likely that many publishers, agencies, and organizations will provide similar lists):
NIH:
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Other sources of information:
What other sources of information might we include in a recommender service?
- Researcher identifiers, such as ORCID Persistent digital identifier for researchers – researchers: these might be helpful in collecting researcher profile information that can be used for recommendation.
- Journal/publication information: Can we We can relate specific journals to where data has been publishedrepositories. If you will publish the user is publishing in a certain specific journal, here's where people put their data. This leads us back to a big search enginewe can recommend where to put the data.
- Abstract: Use text matching techniques to match an abstract to a repository.
- https://www.datacite.org/
- BrownDog: Can we use information from extractors to identify criteria for recommendation?
Harvesting information
- Some Many of these the data repositories are crawlable crawl-able or implement standard APIs (OAI-PMH) for harvesting metadata. It might be interesting to consider whether we can harvest descriptive metadata – particularly citation information – and use journal or other publication metadata as part of the recommendation process.
Analysis
Reviewing the above publisher lists and registries, we can identify factors in the recommendation of repositories to researchers:
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