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Our “digified” lives have provided researchers with an unprecedented opportunity to study society at a much higher frequency and granularity. Such data can have a large sample size but can be sparse, biased, and exclusively contributed by the users of the technologies.
Basiri, Anahid, Brunsdon, Chris
openaire +2 more sources
Acknowledgment to Reviewers of Data in 2021
Rigorous peer-reviews are the basis of high-quality academic publishing [...]
Data Editorial Office
doaj +1 more source
Replication Data Based on the IZA Evaluation Dataset Survey
The provided dataset contains survey information on the job search behavior of unemployed job seekers based on the IZA Evaluation Dataset Survey. The survey contains information on respondents who were interviewed 7-14 weeks after they became unemployed
Mahlstedt, Robert +2 more
core +1 more source
Acknowledgment to the Reviewers of Data in 2022
High-quality academic publishing is built on rigorous peer review [...]
Data Editorial Office
doaj +1 more source
IZA/IAB Linked Evaluation Dataset
The IZA/IAB Linked Evaluation Dataset 1993-2010 was created in the context of the research project trying to obtain reliable estimates for the impact of active labor market policies (ALMP) and understand why and how programs work or not.In cooperation ...
Schmucker, Alexandra +2 more
core +1 more source
Standards for Law Schools in Ethiopia and Guidelines
Standards for Law Schools in Ethiopia and ...
Data
doaj +1 more source
Sensor-enhanced housing survey data for urban heat investigation
During the summer months from July 2023 to September 2023 (including a mini heatwave in early September 2023), 40 Smart Citizen sensors have recorded data in homes in Southwark, London, with recording duration from 24 days to 53 days.
Livingston, Mark +6 more
core +1 more source
Komentar na korištenje "big data" u medicinskom ...
openaire +2 more sources
Data, Data, and Yet More Data [PDF]
This article was originally presented as a speech at the Association for University Business and Economic Research (AUBER) Annual Meeting, University of Memphis, Memphis, Tennessee, October 16, 2006.
openaire +3 more sources
Replication Data for: Global Climate Change Survey
The global climate, a shared resource, needs collaborative efforts worldwide. A behavioral science perspective can help to better understand the human factor, which is crucial in addressing climate change.
Chopra, Felix +3 more
core +1 more source

