The March issue

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Dear Colleague,

The March issue of the Statistical Journal of the International Association for Official Statistics (IAOS) is now available. The theme is Disclosure and Protection in a Big Data World.

The issue features papers on various aspects of the Big Data Revolution. Topics related to synthetic data are presented in several papers, including an open paper authored by Vilhuber, Abowd and Reiter with the title "Synthetic Establishment Microdata Around the World."

SJI authors

Abowd, Reiter and Vilhuber

IMG 5378

Ms. Ola Awad

 

The issue starts with the interview of Ms. Ola Awad, the President of the Palestinian Central Bureau of Statistics (PCBS) and current President of the IAOS. The celebration she hosted in Ramallah, Palestine, on the occasion of the World Statistics Day can be found at http://middleeast-business.com/palestine-welcomes.

 

To get full access to the content of the Journal all that is needed is to join the IAOS. It is easy and inexpensive to become an individual member of the IAOS. The cost of membership is modest at EUR 25 for members from developed countries and EUR 8 for members from developing countries.

For individuals who are already IAOS Institutional members the fee (for individual membership) is EUR 5. The IAOS application form is available at http://isi.cbs.nl/iaos-form.asp.

If you have any questions concerning the membership please contact Mrs. Margaret de Ruiter-Molloy at This email address is being protected from spambots. You need JavaScript enabled to view it.."> This email address is being protected from spambots. You need JavaScript enabled to view it..

 

Contents

Editorial
DOI: 10.3233/SJI-160985

Interview with Ms. Ola Awad
West, Kirsten
DOI: 10.3233/SJI-160954

Helping authors and reviewers ask the right questions: The InfoQ framework for reviewing applied research
Kenett, Ron S. | Shmueli, Galit
DOI: 10.3233/SJI-160967

Comments on the paper "Helping reviewers ask the right questions: The InfoQ framework for reviewing applied research'' by Ron S. Kenett and Galit Shmueli
Hidiroglou, M.A.
DOI: 10.3233/SJI-160982

Comments on the paper "Helping reviewers ask the right questions: The InfoQ framework for reviewing applied research'' by Ron S. Kenett and Galit Shmueli
Manninen, Asta
DOI: 10.3233/SJI-160981

Comments on the paper "Helping reviewers ask the right questions: The InfoQ framework for reviewing applied research'' by Ron S. Kenett and Galit Shmueli
Connolly, Michele
DOI: 10.3233/SJI-160984

Comments on the paper "Helping reviewers ask the right questions: The InfoQ framework for reviewing applied research'' by Ron S. Kenett and Galit Shmueli
Van Halderen, Gemma
DOI: 10.3233/SJI-160983

Reviewers should ask the right questions - but is InfoQ the answer?
Karlberg, Martin
DOI: 10.3233/SJI-160980

Helping authors and reviewers ask the right questions: The InfoQ framework for reviewing applied research
Kenett, Ron S. | Shmueli, Galit
DOI: 10.3233/SJI-160968

Statistics on indigenous peoples: International effort needed
Madden, Richard | Axelsson, Per | Kukutai, Tahu | Griffiths, Kalinda | Storm Mienna, Christina | Brown, Ngaire | Coleman, Clare | Ring, Ian
DOI: 10.3233/SJI-160975

Big Data: What can official statistics expect?
Hackl, Peter
DOI: 10.3233/SJI-160965

The Australian Bureau of Statistics and releasing frequency tables via a remote server
Chipperfield, James | Gow, Daniel | Loong, Bronwyn
DOI: 10.3233/SJI-160969

Synthetic establishment microdata around the world
Vilhuber, Lars | Abowd, John M. | Reiter, Jerome P.
DOI: 10.3233/SJI-160964

Using partially synthetic microdata to protect sensitive cells in business statistics
Miranda, Javier | Vilhuber, Lars
DOI: 10.3233/SJI-160963

Differentially private publication of data on wages and job mobility
Schmutte, Ian M.
DOI: 10.3233/SJI-160962

Releasing synthetic magnitude microdata constrained to fixed marginal totals
Wei, Lan | Reiter, Jerome P.
DOI: 10.3233/SJI-160959

Assessing disclosure risks for synthetic data with arbitrary intruder knowledge
McClure, David | Reiter, Jerome P.
DOI: 10.3233/SJI-160957

Noise infusion as a confidentiality protection measure for graph-based statistics
Abowd, John M. | McKinney, Kevin L.
DOI: 10.3233/SJI-160958