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The UK Data Service is exploring ways of citing data from study level to subsets of data to paragraphs of text.nbsp; We produce citations for each of our data catalogue records in Discover. Each citation includes a persistent identifier, created via DataCite, to give a unique access code for the data. We are working on downloading the citations in multiple formats and adapting the tools we have for our qualitative citations to make theses citations easier to find and use.nbsp; We have been working with the Research Data Alliance Data Citation Working Group to find the best ways to cite subsets of data and apply them to our Nesstar records and international macrodata.nbsp; We have tools to dynamically create a citation from paragraphs in qualitative text. Users select a passage and we then mint a unique identifier on the fly that can be used to cite, precisely, that piece of text. Others reading subsequent research can then go straight to that particular paragraph to read the text in context.nbsp; Our tools allow the citation to be simply copied and pasted into any reference list.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 2 | |
| downloads | 2 |

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