North American Data Documentation Initiative (NADDI) ShareThis


The 2020 North American Data Documentation Initiative conference will take place in Minneapolis, Minnesota from 18-19 June. Pre-conference workshops will take place on 17 June.

The conference theme is making data FAIR using Metadata Standards.

Event details

  • Date:

    Thursday 18 June 2020

  • Time:

    09:00 - 17:00

  • Venue:

    Minneapolis, Minnesota

  • Event organiser:


  • Price:


About the conference

The North American Data Documentation Initiative Conference (NADDI) is an opportunity for those using metadata standards and those interested in learning more to come together and learn from each other. Modeled on the successful European DDI Conference, NADDI 2020 will be a two day conference (June 18-19) with invited and contributed presentations, and should be of interest to both researchers and data professionals in the official statistics, social sciences and other disciplines. A full day of training sessions will precede the conference (June 17th).

Call for papers

The theme for NADDI 2020, Making Data FAIR by using Metadata Standards, emphasizes the benefits of using metadata to drive efficiencies in a research data lifecycle, as well as promote subsequent re-use of end data products.

Aimed at individuals working in and around data and metadata, NADDI 2020 seeks submissions of presentations and posters that highlight the use of DDI and other metadata standards within research projects, official statistics, survey operations, academic libraries, and data archives.

The deadline for submitting abstracts is 6 March 2020.

Visit the conference website for more information about the call for papers and to submit your abstract.

Registration information

Registration for the conference will open soon.

Visit the conference website for more information on attending this conference.

Data Documentation Initiative (DDI)

The Data Documentation Initiative (DDI) is an open metadata standard for describing data and specifying data collection activities. DDI’s principle goal is making research metadata machine-actionable. The specification can document and manage different stages of data lifecycles, such as conceptualization, collection, processing, analysis, distribution, discovery, repurposing, and archiving.