Doing things twice: Strategies to identify studies for targeted validation
The “reproducibility crisis” has been a highly visible source of scientific controversy and dispute. Here, I propose and review several avenues for identifying and prioritizing research studies for the purpose of targeted validation. Of the various proposals discussed, I identify scientific data sci...
Saved in:
| Published in | PeerJ preprints |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
San Diego
PeerJ, Inc
24.02.2017
|
| Online Access | Get full text |
Cover
Loading…
| Summary: | The “reproducibility crisis” has been a highly visible source of scientific controversy and dispute. Here, I propose and review several avenues for identifying and prioritizing research studies for the purpose of targeted validation. Of the various proposals discussed, I identify scientific data science as being a strategy that merits greater attention among those interested in reproducibility. I argue that the tremendous potential of scientific data science for uncovering high-value research studies is a significant and rarely discussed benefit of the transition to a fully open-access publishing model. |
|---|---|
| ISSN: | 2167-9843 |
| DOI: | 10.7287/peerj.preprints.2830v1 |