How Dataverse addresses reproducibility now and in the future. A lightning talk for the 2018 Whole Tale workshop.

1. Reproducibility and Dataverse
Philip Durbin
@philipdurbin

2. What is Dataverse?
https://github.com/IQSS/dataverse

3. Incentives for data sharing
● Academic credit for your data
● Guestbook
● Metrics
● (Future) Make Data Count
https://dataverse.org/best-practices/academic-credit

4. Replication Datasets
6000 replication datasets in Harvard Dataverse: https://dataverse.org/best-practices/replication-dataset
"This dataset underwent an independent
verification process that replicated the
tables and figures in the primary
article. For the supplementary materials,
verification was performed solely for the
successful execution of code. The
verification process was carried out by
the Odum Institute for Research in Social
Science at the University of North
Carolina at Chapel Hill."

5. Computation: Existing Tools
http://guides.dataverse.org/en/4.9.2/installation/external-tools.html
http://guides.dataverse.org/en/4.9.2/installation/config.html#setting-up-compute
"The Data Explorer provides a graphical user
interface (GUI) which lists the variables in a
tabular data file and allows users to search,
chart, and conduct cross tabulation analysis."
Data Explorer

6. Computation: Future, Sloan grant
Increasing Scientific Dataset Quality Through Reproducibility and
Curation Tools and Targeted Services in Dataverse Repositories
http://provtools.org/analyzes/
https://codeocean.com
https://makedatacount.org
"Data, a first-class
research output"
https://odum.unc.edu/2018/07/alfred-p-sloan-foundation-grant/

7. Increasing Scientific Dataset Quality
Through Reproducibility and
Curation Tools and Targeted Services
in Dataverse Repositories (Sloan Grant)Curation services
"Develop and evaluate a
sustainable model for offering
data curation services designed
to empower researchers and
journals to share high-quality
data."
https://blog.uvt.nl/rs/2018/06/tilburg-university-dataverse-receives-coretrustseal-certification/

8. Future: Community efforts
https://github.com/IQSS/dataverse/issues/4714
"Spark and Dataverse (Big Data Containers, computation)" thread at
https://groups.google.com/forum/#!forum/dataverse-community
http://guides.dataverse.org/en/4.9.2/developers/big-data-support.html

9. Thank you!
@philipdurbin
@dataverseorg
support@dataverse.org
https://dataverse.org