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Merge pull request #485 from ubvu/jhrudey-patch-1
Update finding-existing-data.qmd
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You can also start looking for data in these four places:
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1. **The literature**. Research articles may point you to the data that they are based on. Sometimes, (part of) the data are added to the article as supplementary files, and sometimes the data are published separately in a data repository. In the latter case, the article usually provides a clear reference to the published dataset. Some datasets may even be specifically published in [Data Journals](../guides/publish-and-share.qmd#data-publication).
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1. **The literature**. Research articles may point you to the data that they are based on. Sometimes, (part of) the data are added to the article as supplementary files, and sometimes the data are published separately in a data repository. In the latter case, the article usually provides a clear reference to the published dataset. Some datasets may even be specifically published in [Data Journals](../guides/publish-and-share.qmd#publishing-your-data-in-a-data-journal).
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2. **Scientific data repositories**. Data repositories are platforms used to access and archive research data. Universities often provide a repository for data archiving, but other platforms arranged by discipline or by country also exist. Some repositories are only accessible to consortium members, whereas others are free of charge. Many universities in the Netherlands use [DataverseNL](https://dataverse.nl/) to archive datasets for the mid-term. Long-term archiving is provided by the national research data archives [DANS](https://easy.dans.knaw.nl/ui/home) and [4TU.Research Data](https://data.4tu.nl). In Europe, [B2SHARE](https://b2share.eudat.eu/) and [Zenodo](https://zenodo.org/) are platforms used to access research data. Data repositories can be accessed by searching by topic or country using [Re3data](https://www.re3data.org/search?query=), a data repository registry. VU Amsterdam has its own research portal, [PURE](https://research.vu.nl/en/), where researchers register their datasets. You can find instructions on how to register your own dataset in PURE on the [Dataset Registration](../guides/publish-and-share.qmd#dataset-registration) page of this LibGuide.
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3. **Data search engines**. Search engines allow you to quickly browse data sets and supplementary data files published by researchers. They cover data sets from many sources. This makes them useful for quick orientation on a topic. Example of a search engines are: [DataCite](https://search.datacite.org/), [Google DataSet Search](https://toolbox.google.com/datasetsearch).
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4. **Data portals of (governmental) organisations**. Organisations that regularly collect (statistical) data sometimes offer these data through their own portal. An example is [Eurostat](https://ec.europa.eu/eurostat/data/database), which collects and disseminates statistics at the European level, by country and by theme. Some of these websites have been linked in the [Finding data LibGuide](https://libguides.vu.nl/finding-data/international-organizations).

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