[Asis-l] CFP: Open data, big data: what values​​, what challenges?

[Fidelia Ibekwe]

Symposium: Digital Document & Society - May 2015 - CNAM & ESI

Open data, big data: what values​​, what challenges?

http://docsoc2015.sciencesconf.org/<http://doc-soc.sciencesconf.org/>

*May 4 - 5, 2015*

*_Location:_*School of Information Sciences (ESI) Rabat, Morocco

www.ischool.ma <http://www.ischool.ma>

_www.esi.ac.ma_


*Important dates*
May 15, 2014: Call for submission of abstracts
August 25, 2014: Deadline for abstract submission
October 6, 2014: Communication of abstract acceptance or rejection
January 5, 2015: Deadline for full papers (for accepted abstracts)
March 9, 2015: Return of revised papers
March 25, 2015: Final acceptance of papers

*Call for Papers*

**

The evolution of networks towards an “Internet of Things” urges us to 
examine the current buzz about "Big Data" stirring the sectors of 
business, government and science at the moment. As such, the “Internet 
of Things” stands for a generalized interconnection that turns network 
users’ services and behaviors of Internet data providers and, generally 
speaking, a series of technological developments related to the 
computational capabilities that deal with information over its entire 
processing chain.

"Big Data" has been a buzzword for the last three years. It is often 
considered as a "gold mine" giving value to a "global ocean data", and 
shows the awareness of the rapid expansion of a new universe consisting 
of data processing resulting in a profitable Eldorado. "Big Data" also 
refers to the massive exploitation of informational data produced or 
generated online within legal frameworks that are still being defined 
and negotiated.

The term "Big Data" is frequently associated with "Open Data", at least 
in the public sphere. With academic research, the movement of open 
access to scientific results – whether text or data – is consistent with 
the major issue of unlimited data exploration and interconnection at the 
heart of the promises put forward by data mining.

Democracies have also jumped on the bandwagon of the “Open” phenomenon 
and have built a renewed access to public data, reflecting the values ​​ 
of transparency, citizen participation, support for economic innovation, 
etc. 2009 was a starting point, with the launch of _data.gov_, by US 
President Obama’s Open Government. Moreover, with encouragement from the 
European Union, it was translated in France into an "open platform of 
the French public data", _data.gouv.fr, still being expanded today_. The 
same applies in the case of Morocco through its platform dedicated to 
public data (_data.gov.ma_). In this respect, France ranks 10th out of 
77 countries in the 2013 barometer of Open Data Institute, and Morocco 
ranks 40th.

Another phenomenon, not least important in terms of proliferation, 
regards the release of data by users themselves on social networking 
services, blogs, websites of sharing videos, images, texts ... 
potentially exploitable for marketing purposes or by any other services 
which activities are based on making predictions.

Within companies, many projects which aims range from simple performance 
optimization to a deep transformation of business models are emerging. 
Data visualization is an issue associated with the efficiency of 
control. The possibility of decision making in real time and the idea of 
enriching usual data with new sources of finer granularity allow for the 
adjustment of an ongoing relationship with the customer to design 
products and services refined according to profile and needs.

Indeed, there are numerous opportunities related to the access to huge 
volumes of data from different fields such as health, safety, 
environment, urban planning, media, employment and other areas that have 
a deep impact on the structure of a society and even international 
relations.

A form of "value creation" – a concept we aim to interrogate - seems to 
emerge through the approaches of these different areas, raising issues 
of innovation and new economic opportunities. The availability of 
massive data leads to evaluate different metrics such as unprecedented 
data correlations and the development of "predictive" models. For 
research, the challenge is to build, share and verify additional 
scientific evidence, to reuse data and extract new hypotheses.

However, even if many stakeholders acclaim Open Data and Big Data are 
admitted by, we should still consider their stakes as critical issues, 
given their cross-cutting properties, magnitude, and potential social 
impact. One of the main issues central to the debate is the protection 
of personal data. Whether actual information about an individual (their 
identity, the results of their work, their preferences, their behavior, 
their past, their real-time needs, their health or banking data...), or 
virtual information related to their digital shadow. The notions of 
property and privacy remain at stake. Discussions and reflections on the 
legal, citizen and commercial levels currently stir the debates in 
France including through the intermediary of the CNIL (National 
Commission for Computers and Liberties), but also at the level of the 
European Union, through the on-going development of a new directive for 
the harmonization of practices.For its part, Morocco works to achieve 
the completion of the first investigations to ensure the protection of 
personal data by the CNDP under Article 24 of the new Constitution which 
guarantees the right to privacy and confidentiality of communications. 
Making data anonymous does not seem to be a sufficient solution today.

Whether it is a technological breakthrough, as suggested by some 
stakeholders’ discourse promoting a new ecosystem, an innovation in 
terms of economic and social models, an evolution in the performance of 
existing tools or a simple fashion effect, this transverse phenomenon is 
at the heart of a number of research papers not only in information and 
communication sciences but also in management sciences, IT, social 
sciences and, more generally, sciences with quantitative experiments 
that involve significant data volumes such as genomics, meteorology, 
epidemiology, criminology, etc.

Various issues regarding information and communication sciences need to 
be put into perspective. This fifth conference on "The Digital Document 
and Society" fosters not only comments and feedback from experiences but 
also theoretical reflections and reviews on models that "Big Data" 
raises, particularly those that renew the field of information and 
communication sciences.

1) Technical issues related to structuring and constructing knowledge:

In order to be analyzable, reusable, combinable and aggregated, data 
must be structured. Strengthening the convergence systems for the 
identification of documentary resources with those of the web and the 
creation of metadata schemas promote interoperability and calculations 
on data. Case studies describing the lessons learned could be 
interesting from both public institutions and businesses. Regarding the 
construction of knowledge, what kind of knowledge is likely to be built 
by the crossing of data?

2) Societal issues related to the use of "Big Data":

We ask if the strategies of opening and sharing data may pave the way to 
renewing a form of dictatorship of transparency by claiming a "culture 
change" based on leaving behind the protection of personal data. Both 
behaviors developed by users in the exploitation of their data and 
regulations/legislation to be considered should be studied.

3) Industrial and professional issues:

One may wonder about the profile of organizations that are already 
taking advantage of this opening, the weight of web giants in the 
redistribution of value. Specific skills seem necessary to process data: 
is there a general acculturation to data mining? What specializations 
are there for "new" jobs such as data-journalists or data-scientists?

4) Epistemological issues related to the renewal of analysis frameworks 
and interpretation, new metrics, and new business models will also be 
put into focus.

Symposium topics include, but are not limited to:

·New roles for librarians (data scientist, digital curation librarian, 
data manager...)

·Data- journalism

·"Big Data" applications, particularly in the field of competitive 
intelligence

·Big Data and Open Government

·Big Data and open science : impact on scientific research

·Legal framework for Big Data (Protection of personal data, copyright…)

·User behavior facing open data and big data

·Informational Ethics

·Innovation in services and open data

·Data-vizualisation

·Emerging Trends in Information Science induced by Big Data

·Adaptation of norms and standards (taxonomies , metadata schemas ... )

·Management of data (ILS, institutional repositories, e-learning platforms)

·Big data and business management functions

·Epistemology of big data ...

Submit your proposals on the conference website: 
http://docsoc2015.sciencesconf.org/
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Fidelia Ibekwe-SanJuan (Ph.D.)
Full Professor (Professeur des Universités)
School of Journalism & Communication (EJCAM)
Aix-Marseille University - France.
Homepage: http://fidelia1.free.fr/
IRSIC research team: http://irsic.univ-amu.fr/
Springer book: http://link.springer.com/book/10.1007%2F978-94-007-6973-1
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