Citations & Identifiers
It is now understood that data generated in the course of research is as valuable to the ongoing academic discourse as papers and monographs. In many disciplines, the journal article alone is no longer sufficient to assert research results. Many funders, journal publishers, and institutions now require that the data underpinning the journal article be deposited or published, as a "replicating dataset", a dataset that be used again to replicate results asserted in the journal article. Data must therefore be made easily discoverable with proper citations holding persistent identifiers.
Citing data should be done in similar manner to citing papers or monographs, and should hold these elements:
- year of publication,
- publisher (or the name of the archive where the data is stored),
- edition or version, and
- access information
Examples of citing data in the HKU Scholars Hub,
- The University of Hong Kong Libraries. The University of Hong Kong Faculty Survey: Report of Findings: Supporting Information [Data file]. HKU Scholars Hub [distributor], 2015. http://hub.hku.hk/cris/dataset/dataset92801
Monographs have ISBNs, journals have ISSNs, journal articles have DOIs, and people have ORCIDs, for similar reasons. They disambiguate similar items one from another, and make discovery and identity unique and persistent to that one item or person. In like manner, datasets can be assigned DOIs for unique identity and disambiguous discovery. Additionally, statistics and metrics on usage across the internet can be compiled for datasets citable with a DOI, while usage on those without DOIs is much less discoverable.
When you deposit data into the HKU Scholars Hub, our scripts will automatically register a DOI for your data at the collection level, with CrossRef. You will receive an email almost immediately showing this new DOI, though it may not be workable until the next day. This DOI can then be used in monographs and journals articles to cite this data. It can also be included in research completion reports to funders and institutions, to show that a replicating dataset has been duly deposited.
You may wish to use data repositories external to HKU, which are also able to store your data, provide access, and mint a DOI for it. Some are listed below. If you do so, you should also deposit metadata in the HKU Scholars Hub, to comply with HKU requirements.