Timeline for How to tell reviewers that I can't update my results
Current License: CC BY-SA 4.0
18 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Aug 3, 2022 at 9:11 | comment | added | Karl | Tens of gigabytes is not large. The ship is sailed now, but you should definitely have put the data on an external hard drive. Now you have irreproducible results, which basically means no result at all. Not having the computing power any more to do a re-run is a very valid excuse to decline reviewer requests, but the data being gone will be seen as inexcuseable by many.. | |
| Aug 1, 2022 at 17:38 | comment | added | Amadou Kone | @Karl the dataset was very large (10s of GB). Additionally, as part of our access to the data, I had to affirm that I wouldn't share it (it contains potentially sensitive information). So I did not take measures to preserve it after the expiration of the grant. | |
| Jul 31, 2022 at 10:25 | comment | added | Karl | @Barmar Institutions that have no money (or funding body, government) to keep the raw data cannot be considered "academic". | |
| Jul 29, 2022 at 12:05 | comment | added | Federico Poloni | @JeopardyTempest if the numerical experiments can be re-run without further inputs, then those aren't data, they are intermediate values. In my view, at least, but maybe that's just a matter of terminology. | |
| Jul 29, 2022 at 8:47 | comment | added | JeopardyTempest | I'm surprised at the widespread shock at data being gone. If you're running simulations on massive servers/the cloud, and each simulation is very large, but only has minor contribution, basically a resulting data point or small contribution to images... and you know they can be rerun, I'd think it's quite logical to delete and move on for each step if you have limited resources. The feasibility of backing up every bit of intermediate data if there's limited further use seems impractical in some situations. For example when doing massive ensembling meteorologically or monte carlo simulations? | |
| Jul 28, 2022 at 23:11 | comment | added | Scott Seidman | @Barmar most retention policies are between 3 and 7 years, not perpetuity. | |
| Jul 28, 2022 at 21:17 | comment | added | Barmar | @ScottSeidman If all the grant money has been used, who is supposed to pay for that storage in perpetuity? | |
| Jul 28, 2022 at 20:45 | comment | added | tbrookside | @Karl Since this is a big data project, OP might have been using a copy of a public big data source, copied to a cloud instance of some database for analysis. Once his cloud host shuts his account down, that copy of the data is gone. | |
| Jul 28, 2022 at 13:27 | comment | added | Neinstein | "all of the data has been deleted" - are you sure about this? At least the final raw data that has been used for the ppublication definetly should've been preserved some way. Loss of such expensive data should never happen, it seems it was was very expensive to obtain it. It could be reused for further research; your grand may even require you to keep it accessible. Your problem might be bigger than a simple refusal. | |
| Jul 28, 2022 at 12:00 | comment | added | Scott Seidman | Your sponsor may have such a policy as well | |
| Jul 28, 2022 at 11:58 | comment | added | Scott Seidman | Many journals will insist upon a data retention policy. Not having the data might remove the paper from consideration. | |
| Jul 28, 2022 at 10:55 | answer | added | Ilmari Karonen | timeline score: 22 | |
| Jul 27, 2022 at 22:18 | comment | added | Karl | "all of the data has been deleted" can you explain that a bit more? Very often experiments cannot easily be repeated, but loosing all the raw data is, well, really bad if you want to write a paper. | |
| Jul 27, 2022 at 20:07 | history | became hot network question | |||
| Jul 27, 2022 at 18:00 | history | tweeted | twitter.com/StackAcademia/status/1552353121879343106 | ||
| Jul 27, 2022 at 13:28 | answer | added | AppliedAcademic | timeline score: 56 | |
| Jul 27, 2022 at 13:18 | answer | added | atom44 | timeline score: 16 | |
| Jul 27, 2022 at 12:06 | history | asked | Amadou Kone | CC BY-SA 4.0 |