Can my university revoke my degree after it was granted due to (corporate) data having changed?
I did my thesis using corporate data (I used to work there, they don't give their information freely or sell it), data is from 2009 to 2018.
I collect the data, analyze it, everything normal. However, after my thesis was approved and submitted, I saw that the company has modified some of their data from 2009 to 2018, historical data from the past was changed (they have valid reasons) but I am worried that if someone tries to verify the source of my information, they will find different data and think that I commit fraud or data manipulation.
My supervisor and many people told me that nothing wrong will happen because my research was in a specified period of time when data was presented like that, they also told me that after a thesis approval, no one verifies data source. They also told me that the verification of data source is done before thesis approval.
However I am still worried, because it is not common for a company to modify data from the past.
My thesis wont be published because the used data is privated, so they are allowing me to not publish it.
Any ideas of what should I do?
research-process thesis degree data
New contributor
add a comment |
I did my thesis using corporate data (I used to work there, they don't give their information freely or sell it), data is from 2009 to 2018.
I collect the data, analyze it, everything normal. However, after my thesis was approved and submitted, I saw that the company has modified some of their data from 2009 to 2018, historical data from the past was changed (they have valid reasons) but I am worried that if someone tries to verify the source of my information, they will find different data and think that I commit fraud or data manipulation.
My supervisor and many people told me that nothing wrong will happen because my research was in a specified period of time when data was presented like that, they also told me that after a thesis approval, no one verifies data source. They also told me that the verification of data source is done before thesis approval.
However I am still worried, because it is not common for a company to modify data from the past.
My thesis wont be published because the used data is privated, so they are allowing me to not publish it.
Any ideas of what should I do?
research-process thesis degree data
New contributor
13
Nothing. Adviser is correct. No one is going to check your data. It might be interesting to see if your results match up on the new data set, but no one is going to care. In the absolute worst case that someone does care you can simply point out that they revised the data.
– JoshuaZ
9 hours ago
I did the experiment again and my results match up (hypothesis, discussion and conclusions still the same).
– Carlos Varas Tello
9 hours ago
2
Go find another project to worry about - that one is dead and sorted...
– Solar Mike
9 hours ago
3
You can always attach a short note saying what you just wrote here, namely the analysis was done on a data set that latter was corrected by the company, but it has not implication on your conclusions. This kind of anomalies are only problem when a researcher changes the data on purpose.
– Greg
2 hours ago
add a comment |
I did my thesis using corporate data (I used to work there, they don't give their information freely or sell it), data is from 2009 to 2018.
I collect the data, analyze it, everything normal. However, after my thesis was approved and submitted, I saw that the company has modified some of their data from 2009 to 2018, historical data from the past was changed (they have valid reasons) but I am worried that if someone tries to verify the source of my information, they will find different data and think that I commit fraud or data manipulation.
My supervisor and many people told me that nothing wrong will happen because my research was in a specified period of time when data was presented like that, they also told me that after a thesis approval, no one verifies data source. They also told me that the verification of data source is done before thesis approval.
However I am still worried, because it is not common for a company to modify data from the past.
My thesis wont be published because the used data is privated, so they are allowing me to not publish it.
Any ideas of what should I do?
research-process thesis degree data
New contributor
I did my thesis using corporate data (I used to work there, they don't give their information freely or sell it), data is from 2009 to 2018.
I collect the data, analyze it, everything normal. However, after my thesis was approved and submitted, I saw that the company has modified some of their data from 2009 to 2018, historical data from the past was changed (they have valid reasons) but I am worried that if someone tries to verify the source of my information, they will find different data and think that I commit fraud or data manipulation.
My supervisor and many people told me that nothing wrong will happen because my research was in a specified period of time when data was presented like that, they also told me that after a thesis approval, no one verifies data source. They also told me that the verification of data source is done before thesis approval.
However I am still worried, because it is not common for a company to modify data from the past.
My thesis wont be published because the used data is privated, so they are allowing me to not publish it.
Any ideas of what should I do?
research-process thesis degree data
research-process thesis degree data
New contributor
New contributor
edited 41 mins ago
cag51
12.7k52753
12.7k52753
New contributor
asked 9 hours ago
Carlos Varas TelloCarlos Varas Tello
111
111
New contributor
New contributor
13
Nothing. Adviser is correct. No one is going to check your data. It might be interesting to see if your results match up on the new data set, but no one is going to care. In the absolute worst case that someone does care you can simply point out that they revised the data.
– JoshuaZ
9 hours ago
I did the experiment again and my results match up (hypothesis, discussion and conclusions still the same).
– Carlos Varas Tello
9 hours ago
2
Go find another project to worry about - that one is dead and sorted...
– Solar Mike
9 hours ago
3
You can always attach a short note saying what you just wrote here, namely the analysis was done on a data set that latter was corrected by the company, but it has not implication on your conclusions. This kind of anomalies are only problem when a researcher changes the data on purpose.
– Greg
2 hours ago
add a comment |
13
Nothing. Adviser is correct. No one is going to check your data. It might be interesting to see if your results match up on the new data set, but no one is going to care. In the absolute worst case that someone does care you can simply point out that they revised the data.
– JoshuaZ
9 hours ago
I did the experiment again and my results match up (hypothesis, discussion and conclusions still the same).
– Carlos Varas Tello
9 hours ago
2
Go find another project to worry about - that one is dead and sorted...
– Solar Mike
9 hours ago
3
You can always attach a short note saying what you just wrote here, namely the analysis was done on a data set that latter was corrected by the company, but it has not implication on your conclusions. This kind of anomalies are only problem when a researcher changes the data on purpose.
– Greg
2 hours ago
13
13
Nothing. Adviser is correct. No one is going to check your data. It might be interesting to see if your results match up on the new data set, but no one is going to care. In the absolute worst case that someone does care you can simply point out that they revised the data.
– JoshuaZ
9 hours ago
Nothing. Adviser is correct. No one is going to check your data. It might be interesting to see if your results match up on the new data set, but no one is going to care. In the absolute worst case that someone does care you can simply point out that they revised the data.
– JoshuaZ
9 hours ago
I did the experiment again and my results match up (hypothesis, discussion and conclusions still the same).
– Carlos Varas Tello
9 hours ago
I did the experiment again and my results match up (hypothesis, discussion and conclusions still the same).
– Carlos Varas Tello
9 hours ago
2
2
Go find another project to worry about - that one is dead and sorted...
– Solar Mike
9 hours ago
Go find another project to worry about - that one is dead and sorted...
– Solar Mike
9 hours ago
3
3
You can always attach a short note saying what you just wrote here, namely the analysis was done on a data set that latter was corrected by the company, but it has not implication on your conclusions. This kind of anomalies are only problem when a researcher changes the data on purpose.
– Greg
2 hours ago
You can always attach a short note saying what you just wrote here, namely the analysis was done on a data set that latter was corrected by the company, but it has not implication on your conclusions. This kind of anomalies are only problem when a researcher changes the data on purpose.
– Greg
2 hours ago
add a comment |
2 Answers
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Revoking a degree is rarely done and, then, only for the most extreme reasons such as explicit dishonesty and such. Any results in any thesis are subject to revision as new information becomes available that was not present in the past. It doesn't mean that the work was wrongly done, but only that what is known has advanced.
Since you re-did the experiment and came to the same conclusion, you may be able to publish something based on the new results and, when citing your unpublished theses, mention that the conclusions there were verified with new data.
add a comment |
Rest assured that few people read PhD theses, and as Buffy says, degrees never get revoked for outdated data sources so your degree is safe.
However, if you are concerned about people reading your thesis and not being able to reproduce your results - publish an updated version (say, on ArXiv if you're in a rush, or in a journal/conference if you want the paper to be peer-reviewed), explicitly referencing the thesis and emphasizing the fact that your results are on updated data. This is actually good practice that would help future researchers who may care about your work, and save them the trouble of trying to recover your result.
add a comment |
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2 Answers
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Revoking a degree is rarely done and, then, only for the most extreme reasons such as explicit dishonesty and such. Any results in any thesis are subject to revision as new information becomes available that was not present in the past. It doesn't mean that the work was wrongly done, but only that what is known has advanced.
Since you re-did the experiment and came to the same conclusion, you may be able to publish something based on the new results and, when citing your unpublished theses, mention that the conclusions there were verified with new data.
add a comment |
Revoking a degree is rarely done and, then, only for the most extreme reasons such as explicit dishonesty and such. Any results in any thesis are subject to revision as new information becomes available that was not present in the past. It doesn't mean that the work was wrongly done, but only that what is known has advanced.
Since you re-did the experiment and came to the same conclusion, you may be able to publish something based on the new results and, when citing your unpublished theses, mention that the conclusions there were verified with new data.
add a comment |
Revoking a degree is rarely done and, then, only for the most extreme reasons such as explicit dishonesty and such. Any results in any thesis are subject to revision as new information becomes available that was not present in the past. It doesn't mean that the work was wrongly done, but only that what is known has advanced.
Since you re-did the experiment and came to the same conclusion, you may be able to publish something based on the new results and, when citing your unpublished theses, mention that the conclusions there were verified with new data.
Revoking a degree is rarely done and, then, only for the most extreme reasons such as explicit dishonesty and such. Any results in any thesis are subject to revision as new information becomes available that was not present in the past. It doesn't mean that the work was wrongly done, but only that what is known has advanced.
Since you re-did the experiment and came to the same conclusion, you may be able to publish something based on the new results and, when citing your unpublished theses, mention that the conclusions there were verified with new data.
answered 8 hours ago
BuffyBuffy
42.6k10138219
42.6k10138219
add a comment |
add a comment |
Rest assured that few people read PhD theses, and as Buffy says, degrees never get revoked for outdated data sources so your degree is safe.
However, if you are concerned about people reading your thesis and not being able to reproduce your results - publish an updated version (say, on ArXiv if you're in a rush, or in a journal/conference if you want the paper to be peer-reviewed), explicitly referencing the thesis and emphasizing the fact that your results are on updated data. This is actually good practice that would help future researchers who may care about your work, and save them the trouble of trying to recover your result.
add a comment |
Rest assured that few people read PhD theses, and as Buffy says, degrees never get revoked for outdated data sources so your degree is safe.
However, if you are concerned about people reading your thesis and not being able to reproduce your results - publish an updated version (say, on ArXiv if you're in a rush, or in a journal/conference if you want the paper to be peer-reviewed), explicitly referencing the thesis and emphasizing the fact that your results are on updated data. This is actually good practice that would help future researchers who may care about your work, and save them the trouble of trying to recover your result.
add a comment |
Rest assured that few people read PhD theses, and as Buffy says, degrees never get revoked for outdated data sources so your degree is safe.
However, if you are concerned about people reading your thesis and not being able to reproduce your results - publish an updated version (say, on ArXiv if you're in a rush, or in a journal/conference if you want the paper to be peer-reviewed), explicitly referencing the thesis and emphasizing the fact that your results are on updated data. This is actually good practice that would help future researchers who may care about your work, and save them the trouble of trying to recover your result.
Rest assured that few people read PhD theses, and as Buffy says, degrees never get revoked for outdated data sources so your degree is safe.
However, if you are concerned about people reading your thesis and not being able to reproduce your results - publish an updated version (say, on ArXiv if you're in a rush, or in a journal/conference if you want the paper to be peer-reviewed), explicitly referencing the thesis and emphasizing the fact that your results are on updated data. This is actually good practice that would help future researchers who may care about your work, and save them the trouble of trying to recover your result.
answered 1 min ago
SparkSpark
3,0881318
3,0881318
add a comment |
add a comment |
Carlos Varas Tello is a new contributor. Be nice, and check out our Code of Conduct.
Carlos Varas Tello is a new contributor. Be nice, and check out our Code of Conduct.
Carlos Varas Tello is a new contributor. Be nice, and check out our Code of Conduct.
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Nothing. Adviser is correct. No one is going to check your data. It might be interesting to see if your results match up on the new data set, but no one is going to care. In the absolute worst case that someone does care you can simply point out that they revised the data.
– JoshuaZ
9 hours ago
I did the experiment again and my results match up (hypothesis, discussion and conclusions still the same).
– Carlos Varas Tello
9 hours ago
2
Go find another project to worry about - that one is dead and sorted...
– Solar Mike
9 hours ago
3
You can always attach a short note saying what you just wrote here, namely the analysis was done on a data set that latter was corrected by the company, but it has not implication on your conclusions. This kind of anomalies are only problem when a researcher changes the data on purpose.
– Greg
2 hours ago