Trusted Smart Statistics: methodological developments based on new data sources
Sector: Government • Location: Italy, Austria, Germany, Spain, France, Netherlands, Norway, Romania, Sweden, Portugal
Source: EU Funding & Tenders Portal
This project aims to guide and facilitate the integration of MNO data with other non-MNO data to produce regular official statistics. The project proposes a reference frame for methods relevant to combining MNO and non-MNO data into a coherent statistical production process. Our methodological proposal is well grounded, reasonable and evolvable; we look beyond the current situations and enrich the
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | This project aims to guide and facilitate the integration of MNO data with other non-MNO data to produce regular official statistics. The project proposes a reference frame for methods relevant to combining MNO and non-MNO data into a coherent statistical production process. Our methodological proposal is well grounded, reasonable and evolvable; we look beyond the current situations and enrich them with new reasonable integration scenarios and data sources, enabling in this way the use of additional methods and the achievements of improved results. The developed methods will be tested and demonstrated on real and synthetic data. An open-source implementation of our methodologies will be released to ensure its reproducibility. To assess the representativity of mobile phone data, as well as to address other relevant statistics and quality needs, the use of ad-hoc surveys will be designed in proof-of-concept. Guidelines will be produced and training courses offered to prepare the ESS for the integration of MNO data with other non-MNO data sources in official statistics. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
