How to archive data in UiT Open Research Data

When you have finished treating your research data, you should upload these to a suitable repository. Archiving and sharing allow other researchers to reproduce your research, it may lead to more visibility and citations, and it can open for new collaborations.

UiT Open Research Data is UiT’s institutional repository for open research data. All employees and students at UiT can upload their data, regardless of discipline, as far as the data can be shared with open access. Data archived in UiT Open Research Data are visible via major search engines such as Google Dataset Search. UiT Open Research Data is CoreTrustSeal certified, which demonstrates that the repository meets a number of international requirements for both technical infrastructure and stewardship model and routines.

In this webinar, we give an introduction to the structure and use of UiT Open Research Data. We will explain the repository deposit guidelines and the steps involved in submitting a dataset for archiving, including:

  • Creating a dataset draft
  • Entering metadata
  • Writing a readme file
  • Confirming or specifying a reuse license
  • Uploading files
  • Sharing the unpublished dataset in connection with peer review (if relevant)
  • Specifying a file embargo (if relevant)

We will also briefly touch upon the curation process and how you can make changes to your dataset after publication.

The webinar will be hands-on, with demonstration and the possibility to try-out uploading a dataset yourself.

The webinar builds on the two modules “How to structure and document research data” and “How to archive research data” (for information about the different webinars, see site.uit.no/rdmtraining).

You may send in questions in advance (through a Padlet) that you want to discuss during the webinar. More information about this will be given well in advance.

The webinar is hosted by Lars Figenschou and Katie Smart.

Welcome!

For more information about research data management at UiT, see the UiT Research Data Portal.

Illustration: Evita Lill Bergstad




Når: 18.04.23 kl 12.15–14.00
Hvor: Zoom
Sted: Digitalt, Tromsø
Målgruppe: Ansatte, Studenter
Kontakt: Helene N. Andreassen
Telefon: 77 64 57 35
E-post: researchdata@hjelp.uit.no
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