Research data may be published, just like articles and books.
By publishing your data, you enhance the impact of your research both within and outside your discipline. It may lead to new (interdisciplinary) collaboration, facilitates meta-analysis and reduces needless duplication of research.
According to the Standard Evaluation Protocol 2015-2021, datasets and the reuse of your data may count when the quality of your research is being assessed.
A growing number of publishers require authors to make the data which underpin an article accessible to others. Most research funders expect you to make your data available for reuse in further academic research.
UvA/AUAS figshare is the institutional data repository of the UvA and AUAS. In UvA/AUAS figshare you can safely archive and publish your data. Your file is assigned a Digital Object Identifier (DOI), a unique permanent link you can use in articles and presentations.
If you want to reference your datasets on your own website, you can publish your data in UvA/AUAS figshare and include the DOI on your website.
You can place links to datasets on your profile page on UvAweb. You can also put sets on your profile page to be downloaded.
If the dataset is online elsewhere, you can place a link on your profile page manually (external link). If the dataset is not yet online, you can upload the dataset as a ‘profile file’ and place a manual link to the file on your profile page.
Your profile page is taken offline when you leave UvA; you can then no longer get to the files uploaded as ‘profile files’. Your profile page can be edited only from a UvA workspace or via a VPN connection with the UvA network.
An enriched publication is an online publication in which an article is accompanied by (links to) research data, illustrations, visualisations, links to internet resources, commentaries and such.
If you are going to publish your data, there are a few matters you should take care of:
Since it is not allowed to publish personal data, datasets with personal data must be anonymised.
Data of which it is not clear when and how they are collected, are useless to others (and to your future self). That is why a dataset must be described.
In order to make sure that your dataset will appear as a search result, you must assign information to the dataset which can be read by search engines: metadata.
By providing your dataset with a licence, it is made clear to others what they are or are not allowed to do with your dataset.
If you take care that your dataset is assigned a persistent identifier, others can simply and correctly refer to the (correct version of) your data.
Most data repositories allow you to place a (temporary) embargo on your data : during the embargo period the description of the dataset is published, but the data themselves are not available for reuse by others.