Monthly Archives: November 2018

DOI the DATA

As an open science enthusiast I try to lead by example – you will gather from my blog that I am an online activist when it comes to the incentives in academia and the evaluation of research careers. Last Wednesday I took a few minutes to create a poster for an online campaign to encourage researchers to cite the data they have collected or other data they are using. A lot of work done by researchers to collect data does not get the recognition it should get. This is because the evaluation of research careers in tenure and promotion decisions and grant competitions is currently based on citations of papers, but not on the use of data or software or code. If researchers would cite open data, code and software those who invested time for the benefit of us all would get a bit more of the recognition they deserve. So: DOI your data and get credit for your data. Need help? See https://dataverse.org/best-practices/data-citation and http://help.osf.io/m/sharing/l/524208-create-dois

Here is the poster – post it on your walls, virtual or physical, and put it on your timeline.

DOI_DATA

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Filed under data, open science

Closing the Age of Competitive Science

In the prehistoric era of competitive science, researchers were like magicians: they earned a reputation for tricks that nobody could repeat and shared their secrets only with trusted disciples. In the new age of open science, researchers share by default, not only with peer reviewers and fellow researchers, but with the public at large. The transparency of open science reduces the temptation of private profit maximization and the collective inefficiency in information asymmetries inherent in competitive markets. In a seminar organized by the University Library at Vrije Universiteit Amsterdam on November 1, 2018, I discussed recent developments in open science and its implications for research careers and progress in knowledge discovery. The slides are posted here. The podcast is here.

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Filed under academic misconduct, data, experiments, fraud, incentives, law, Netherlands, open science, statistical analysis, survey research, VU University