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Dataverse is an open source data repository platform developed by the Institute for Quantitative Social Science at Harvard University (with contributors and adopters from all around the world). Dataverse supports researchers with open and mediated data publishing, sharing, research promotion, and the reuse of others’ data. The Dataverse platform makes it easy to deposit and publish research data; however, often deposited research data require additional preparation and curation to be ready for meaningful reuse. Data require accurate and rich documentation and metadata—without them, data are meaningless. Standard metadata, such as DDI, are useful for describing data in Dataverse. This presentation will demonstrate how Dataverse supports the creation of metadata for improved data discovery, access and reuse, and the preservation of research data in Dataverse.
DDI, NADDI2019, metadata
DDI, NADDI2019, metadata
| 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 | 6 | |
| downloads | 9 |

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