[ESIP-all] Upcoming DataONE Webinar: Provenance and DataONE: Facilitating Reproducible Science

[Rudolf Husar]

Hi Cynthia, Aaron,

Just a brief note as a reminder for future work.

Dataset provenance (see email below)  is one of the 'facets'  we would need
to include in our new RDA metadata system. Dataset provenance is mainly for
understanding data and less for data discovery.

For this round we can not 'finish' it but we can assign a placeholder for
it while constructing the new dataset RDA-compliant description system.

R

Rudolf B. Husar, Professor
Energy, Environment and Chemical Engineering
Washington University, 1 Brookings Drive, Box 1180
St. Louis, MO 63130, +1 314 935 6099 | Scholar
<http://scholar.google.com/citations?user=F4ta3toAAAAJ&hl=en&oi=ao>

On Thu, Apr 30, 2015 at 11:01 PM, Amber E Budden via ESIP-all <
esip-all at lists.esipfed.org> wrote:

>  Dear ESIP Community
>
>  Registration for the free DataONE Webinar "Provenance and DataONE:
> Facilitating Reproducible Science" is now open.
> https://www.dataone.org/upcoming-webinar.
>
>
> *Tuesday May 12th 9 am Pacific / 10 am Mountain / 11am Central / 12
> noon Eastern*
>
> *Provenance and DataONE: Facilitating Reproducible Science*
> Bertram Ludäscher, Chris Jones, Lauren Walker
>
> Provenance is a form of metadata that describes the lineage and processing
> history of data and knowledge artifacts and plays an important role in many
> scientific applications and use cases. For example, an ecologist might want
> to combine different datasets for a study, but needs to know how the
> candidate datasets were derived. A climate scientist might need to document
> the processing history of climate model outputs to facilitate
> reproducibility. A natural history collection manager might want to run
> automated data curation tools on specimen collection data, but has to
> understand the proposed “repairs” before executing them. In all these and
> many other cases like these, provenance information plays a crucial role.
> In this webinar, we will first give an overview of the different types of
> provenance information and how they can be used, e.g., to facilitate
> reproducible science.
>
> We will show how a DataONE user can search and navigate provenance
> information using the new UI currently under development in DataONE. After
> this user-oriented view on provenance, we finally take a look “behind the
> scenes” of the DataONE provenance technologies and present plans for future
> developments.
>
>  Best
> Amber
>
>
>  --
> Amber E Budden, PhD
> Director for Community Engagement and Outreach
> DataONE
> University of New Mexico
> 1312 Basehart SE
> Albuquerque, NM 87106
>
> Tel: 505-814-1112
> Cell: 505-205-7675
> Fax: 505-246-6007
>
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