2016 UNECE Workshop on Statistical Data Collection: 'Visions on Future Surveying' was held back-to-back with the Workshop on Statistical Dissemination and Communication. It was well attended with nearly 140 unique participants for the joint day of the workshops and over 90 participants for the Data Collection Workshop itself. Participants from around fifty different countries and organisations from all permanently inhabited continents saw around 50 excellent presentations (24 for Data Collection, 5 on the joint day and 20 for Dissemination and Communication). Additionally, in the special event on the joint day, 12 teams competed against each other in producing tangible output. For each session, main lessons learned and topics for future work were identified by sub-groups. Through and inclusive and democratic process, the following main topics were identified for future work in the area of Data Collection:
- Mobile devices for data collection (increases response rate, but is it a different mode and should we adapt the design and/or shorten the questionnaire)
- Skills and mind-set needed for our future data collection methods
- Paradata: how to structure, understand and us it
- New methods such as integration sources and sampling techniques to reduce survey burden
- Design shorter questionnaires (what do we really need, identify key questions, maximise result while minimise size, paradigm change of staff)
- Use of nudging initiatives in communicating with respondents
- Measure the impact of personalized feedback (cost-benefit)
- How to integrate Big Data and other new sources into integrated data management systems
- Behavioural studies for design and communication strategies
- Improve partnerships with data providers
- Measure the effectiveness of incentives and their impact on data quality
The joint 2016 Data Collection and Dissemination and Communication Workshop, will have an innovative creative interactive event. Participants will work at the workshop in small teams to produce real output. Output will be judged by colleagues and experts in a creative cooking competition style setting. By combining team members with different expertise, synergy will be created.Topics and further information will be provided at a later stage.
Information Note 2, explaining the special session, is now available: http://www1.unece.org/stat/platform/x/bQkpBw
JOIN US IN THIS EXITING EVENT AND REGISTER for both or either of the event:
From 29 April – 1 May 2015, UNECE's Data Collection Steering Group will hold a workshop on statistical data collection, hosted by the United States Bureau of Labor Statistics in Washington, D.C.
The workshop will emphasize participant involvement and interaction. It will include target-driven small group discussions, practical demonstrations, a panel discussion, posters and short presentations, in addition to the more traditional presentations and written papers. Delegates will be asked to contribute to the formulation of concrete proposals for internationally-coordinated work in the field of data collection, contributing to the work programme of the Modernisation Committee on Products and Sources.
Topics will include
- Linking Data Collection and Communication
- New Tools and Methods
- Evaluation, Management and Integration of Multiple Data Sources
- Risk Management for Innovative Sources of Official Statistics
- Collaborating for the Modernisation of Statistical Data Collection.
The workshop will be held back-to-back with a workshop on Communication of statistics, in order to bring the two communities together to explore commonalities and identigy potential synergies.
For more information on both events, including instructions on submitting an abstract, see this page.[page removed]
The conference topics include, but are not limited to:
Pilot experiments and experiments embedded in statistical production
- Data collection modes
- Non-response, response propensity, respondent behaviour and response burden
- Administrative and registry data
- Big Data and other non-traditional Data Sources
- Versatile data collection systems (adaptive surveys, modular surveys/systems, split questionnaires…)
- Horizontally integrated data collection systems
The NTTS 2015 conference will take place from 10 to 12 March 2015 in Brussels. For details on the event, please refer to the conference homepage.
As of September 2015, the Organizing Committee will begin planning the next seminar on data collection.
Date and location are still to be confirmed. All previous participants will be informed as soon as we have further details available.
It is intended that the seminar will have a joint day alongside the UNECE expert group on Dissemination and Communication, permitting one or more joint sessions on the interface between collection and communication.
UNECE’s second seminar on data collection looked at Big Data, new sources, new approaches to management and centralisation, and mixed-mode collection, among other topics. The focus was on the organizational-level implications of the rapidly-changing data environment. The goal of the seminar was to bring data collection specialists together to help the statistical community to rise to the new challenges by sharing knowledge and experience across organizations.
Find out more on the meeting web page: full papers, presentations and a meeting report will all be available during the first week of October.
This post is an announcement on behalf of Statistics Netherlands:
Statistics Netherlands is happy to invite you to the International Methodology Seminar, introducing the new textbook on Designing and Conducting Business Surveys
Statistics Netherlands, CBS-weg 11, Heerlen, Thursday, 12 September 2013. Programme: 10.00-17.00 hrs
Seminar participation is free of charge
Registration is required, as the number of participants is limited
Participants will receive a 20% discount on the purchase price of the book
This how-to book, as based on the authors’ long-standing experiences (at Statistics Netherlands, Statistics Norway, the UK Office for National Statistics, and the US Census Bureau), integrates the dispersed literature into a process-quality approach, and provides a coherent overview of the business survey process, from planning a survey to dissemination of statistics.
At the Seminar, the authors will provide an overview of issues discussed in this book, including:
- The business survey production process
- The business context
- Dealing with response burden
- Questionnaire communication and design
- Business survey communication
- Capturing, coding and cleaning survey data.
Registration: Send an e-mail to Ger Snijkers (firstname.lastname@example.org) with your name and affiliation.
More information: For latest information on this seminar, see: www.cbs.nl/seminar-business-surveys.
More information on this book is available at www.Wiley.com
Please, pass this announcement to others who may be interested
A UNECE-led task team involving representatives of 13 national and international statistical organizations has drafted a proposal for a project to be presented to the High Level Group for the Modernisation of Statistical Production and Services (HLG) in October. We now seek feedback from all those interested in this area, in order to ensure that the proposal and the eventual project are as effective as possible.
One of the conclusions from a High-level Seminar on Modernization of Statistical Production and Services (St. Petersburg, Russian Federation, 3-5 October 2012) was:
"Big data is an increasing challenge. The official statistical community needs to better understand the issues, and develop new methods, tools and ideas to make effective use of Big data sources. This includes closer integration with geographical data and standards."
As a follow up activity, it was proposed that the High-Level Group for the Modernization of Statistical Production and Services should provide "a document explaining the issues surrounding the use of “big data” in the official statistics community".
A paper that aims to address this requirement has been produced by a group of leading international experts under the supervision of the High-Level Group.
The paper is available in English here.
Other language versions: