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Comments on the paper ``Helping reviewers ask the right questions: The InfoQ framework for reviewing applied research'' by Ron S. Kenett and Galit Shmueli

Article type: Article Commentary

Authors: Manninen, Asta

Affiliations: Member of the SJIAOS Editorial Board and member of the ESAC, European Statistical Advisory Committee. E-mail: [email protected]

DOI: 10.3233/SJI-160981

Journal: Statistical Journal of the IAOS, vol. 32, no. 1, pp. 23-24, 2016

Published: 27 February 2016
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References

[1] 

Kenett R.S., and Shmueli G., Helping Reviewers Ask the Right Questions: The InfoQ Framework for Reviewing Applied Research. Statistical Journal of the IAOS 32: ((2016) ), 11-19.

[2] 

Reimsbach-Kounatze C., The Proliferation of ``Big Data'' and Implications for Official statistics and Statistical Agencies. A Preliminary Analysis. OECD Digital Economy Papers. 12 January (2015) . http://www.oecd-ilibrary.org/science-and-technolo gy/the-proliferation-of-big-data-and-implications-for-official-statistics-and-statistical-agencies_5js7t9wqzvg8-en.

[3] 

The ESS Vision 2020. European Statistical System Committee. Luxembourg, 14-15 May (2014) . http://ec.europa.eu/eurostat/documents/10186/756730/ESS-Vision-2020.pdf/8d97506b-b802-439e-9ea4-303e905f4255.

[4] 

Statistical Journal of the IAOS, Aims & Scope, http://www. iospress.nl/journal/statistical-journal-of-the-iaos/.

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