Abstract. More and more countries are using register data to replace traditional Censuses. Moreover, official statistics as well
as research are increasingly based on register data or combinations of survey and register data. Register-based statistics offer
wonderful new opportunities. At the same time, they require a new approach to how data are processed and managed. In this
article, we present the System of social statistical datasets (SSD), a system of interlinked and standardized registers and surveys.
All production processes within Statistics Netherlands that pertain to social or spatial statistics converge in the SSD, which thus
constitutes a shared output-oriented system. The SSD contains a wealth of information on persons, households, jobs, benefits,
pensions, education, hospitalizations, crime reports, dwellings, vehicles and more. In the Netherlands it is the most important
source for official social statistics and, because the data are available on request by means of remote access, also very popular
in the social sciences. This article describes the contents of the SSD as well as the underlying process and organization, and
demonstrates its possibilities.
august 2017
150 Profiles: Ajeev Bhatia | The Philanthropist
The common denominator here is leadership through lived experience.  If philanthropy is not effectively informed by those who are living the day-to
lived  experience  philanthropy 
july 2017
The research infrastructure of Chinese foundations, a database for Chinese civil society studies | Scientific Data
This paper provides technical details and user guidance on the Research Infrastructure of Chinese Foundations (RICF), a database of Chinese foundations, civil society, and social development in general. The structure of the RICF is deliberately designed and normalized according to the Three Normal Forms. The database schema consists of three major themes: foundations’ basic organizational profile (i.e., basic profile, board member, supervisor, staff, and related party tables), program information (i.e., program information, major program, program relationship, and major recipient tables), and financial information (i.e., financial position, financial activities, cash flow, activity overview, and large donation tables). The RICF’s data quality can be measured by four criteria: data source reputation and credibility, completeness, accuracy, and timeliness. Data records are properly versioned, allowing verification and replication for research purposes.
chinese  database  charities 
july 2017
The Lisbon Council - think tank for the 21st century - News & Events
How can we make Europe a leader in the global data economy? How can we make sure that the important advances in data analytics – the diseases that will be cured, the traffic congestions alleviated, the social problems correctly analysed – are there for citizens to enjoy and companies and institutions to develop? In this ground-breaking study, the Lisbon Council explores A New Framework for Free Movement of Data in the Digital Age: Making Europe a Data Economy. The paper analyses an array of state-of-the-art proposals for facilitating data flows and proposes a three-point roadmap for improving the “free movement of data” in Europe: adopt “once-only” at the European level; strengthen European-level cyber security and crack down on unjustified data localisation; and develop more open and transparent policies for data sharing around a new concept of “co-ownership.” Paul Hofheinz, president of the Lisbon Council and co-author, formally launched the policy brief at the Presidency of the Council of the European Union conference on the digital single market under the patronage of Jüri Ratas, prime minister of Estonia, and presented the main findings to the Competitiveness and Telecommunication Ministers Council (Informal) in Tallinn, Estonia at the invitation of the Estonian Presidency.
enabling  environment  data  policy 
july 2017
Unleashing the potential of health and care data | Future Care Capital
Future Care Capital seeks a step-change in health and care and believes that a concerted effort to unleash the potential of health and care data could significantly improve outcomes for everyone in our society.
admin  data  policy 
july 2017
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