The International conference Data Value Chain in Science & Territories will take place on Thursday 14 & Friday 15 March 2019 in Paris-Est Marne-la-Vallée University (near Paris - France).
The conference is organised by Comité CODATA-France, Paris-Est Marne-la-Vallée University, Institut Francilien d’Ingénierie des Services and Dicen-IDF, Information and communication devices in digital age, Laboratory.
Deadline for Extended Abstract submission: October 15th 2018
DATA VALUE CHAIN IN SCIENCE & TERRITORIES - PRESENTATION
One of the main challenges , in most fields, is to handle and process a huge amount of data coming from a large spectrum of professional, scientific or open sources. This data, by nature heterogeneous and generated by people, systems, things (IoT) and intelligent networks, may be handled directly or transmitted by different remote operations.
This raises several technical and societal problems with respect to data coherence and quality , data privacy and protection , as well as the need to develop original techniques and powerful tools for collecting and processing large volumes of data.
In a multidisciplinary approach centred on Information and Data Science, the conference focuses on how to raise, retrieve, and build relevant datasets and knowledge from different fields to manage and optimise data evaluation and also aims at a transversal approach between different domains, techniques, processes, strategies and uses of data.
The contributions can report specific cases, generic models, constructivist and critical postures. Inter-disciplinary contributions, both in engineering or in human and social sciences are expected to discuss the paradigm of data as a source of information, knowledge, and various indicators.
DATA VALUE CHAIN IN SCIENCE &TERRITORIES - MAIN THEMES
-Data acquisition: IoT (Internet of Things), smart grids, open data, sensors, data quality, data security, data protection and privacy…
-Data typologies: characterisation of the different types of data
-Data quality: data repositories, data cleaning, data validation, ethics, missing data
-Data processing: standardisation, interoperability, data modelling, visualisation
-Knowledge discovery: data mining, data analytics
-Data mediation: interoperability, data management in organizations, interfaces
-Data services: data processing platforms, industrialisation of data processing, data literacy
-Application fields: public health and social policy, smart healthcare, smart tourism, building engineering, etc
DATA VALUE CHAIN IN SCIENCE &TERRITORIES - CONTRIBUTIONS
Deadline for Extended Abstract submission: October 15th 2018
Authors are requested to send an Extended Abstract of 5 000 to 6 000 characters (including spaces) in French or English via ConfTool
Papers will undergo a double-blind peer-review process.
PROGRAM COMMITTEE
Consult here the program committee
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