In my last blog, I informed the community that the Management Science editorial board is considering a new Data and Code Disclosure policy. Here is some background.
In 2013, Management Science established a data disclosure policy, which encourages, but does not require, the disclosure of data associated with published manuscripts. A few months ago, the board formed a committee whose focus was to strengthen Management Science's policy in this area. Attached is the committee's recommendation.
The members of the committee are Yan Chen (DE for Decision Analysis), Kay Giesecke (Finance), Stephen Graves (Chair and former EiC MSOM), Hamid Nazerzadeh (Big Data Analytics), Sridhar Tayur (Entrepreneurship & Innovation), and Juanjuan Zhang (Marketing).
Before finalizing the policy, the editorial board would like to solicit comments from members of our community. Please send comments to email@example.com
Dear David –
Per your invitation, I wanted to provide quick feedback on the proposed Data Disclosure policy for Management Science. In sum, I think the policy, as currently stated, will severely limit the ability of researchers in Operations Management to publish important empirical work using secondary data and field experiments (I see no problems for lab and numerical experiments/simulations). This Policy would potentially slow down development of our field, which is quite dangerous. Here are a few specific thoughts:
The Institute for Operations Research and the Management Sciences
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