Information Management & Data Curation

Data Curation is Key in our world overloaded with unprecedented Data creation.

unstructured   Digital Information created

How to make sense, sort and organize all these data? This is strategic for all in the wired Knowledge society.

This has been well studied and documented by information scientists and specialist for the realization of complex systems. It can be extended to most information systems, platform and collaboration ecosystem : Open data Curation, Big data visualization, Creative commons, massive scale collaboration , collective problem solving….

Data Curation – Linked data – Knowledge Management

Data Information Knowledge Data Curation  dynamic

data Info Knowledge Wisdom

Data need to be contextualized and understood to be linked an curated optimally.

Step by step approach: the different stage of Data Curation Explained, inpired by Maslow’s Pyramid of Human needs

Maslow Pyramidmaslow 2

Maslow’s pyramid of Human needs Can Be applied to data Curation , to generate virtuous spiral of data curation,( content creation, data linkng, data contextualization,  data Visualization Interaction,decision making leading to action)

Just Like Maslow Explained that needs need to be fulfilled step by step, Data Curation much follow such step to ensure Value Creation , in a Virtuous Circle. in 3 Stages:

Stage 1 :   RAW Data Curation (objective/scientific/material criterias)

Create, Collect verify a data (is a true data? Does it Exist? is is an accurate Data? is It Consistent data?

the Data then curated once becomes an information , that can be stored, dat stamped , archived


 Stage 2:   Contextualization/ qualification (Subjectivisation):

What does it mean? is it important information? is it relevant? what context does it belongs to? Important or useless Information? What does it refer, relate to?  Once curated the Information can start to be linked, exchanged…

the-linked-data-lifecycle Information management

Stage 3 :  Linking, exchange, visualization . Decision making Inter-action, change: : Information becomes Knowledge, idea creation

data action loop Triple-S-learning-feedback-loop_imagelarge       2.1_data-cleaning-integration1

The importance of the Feedback Loop come into place  In a complex system of Interaction. (see the work of  Joel de Rosnay, the Macroscpe 1979)

Feed back loop feedback loop

Virtuous spiral

Once these principles are implemented , controlled in a open collaborative way  the P2P and block chain seems perfect for that purpose) then many ecosystems with specific purpose of Goals can be created, collective problem solving can be implemented ….BIG data predictive analytic…

collective Intelligence

stigmegy powerful stigmergy

This can lead to the emergence of crowd collaboration and rapid raise of collective consciousness!


Open data

open data conference

Today starts the 3rd Open Data Conference 2015 , the Future of Open Data (free information) is of Huge importance in the information society we are living in.

You can follow all the conference with live stream

in my Opinion the stakes are high for the future of humanity in a connected digital world:

Open data world =  Empowered Netizens = Collective evolution with Open data Curation

Closed Data world = Big brother world


Positive trends & Opportunities / Risks & threats in aconnected world of Information Age

In today’s world of Information, many disruptive changes are taking place, at incredible pace: they are Game changers, creating new paradigm shift

Positive trends – opportunities:

Ying Ynag

– Open source information disclosure and sharing is possible

– Collaborative economy, Creative commons: emergence of a Netizens class worldwide

– Massive scale online collaboration for Common good

– Information Viral diffusion : the world is flat, timeless information  diffusion worldwide

– Censorship become almost impossible in a fluid information society (but Propaganda remains)

– Wired world empowers Netizens who can unite for positive actions (once they realize it)

– P2P disruptions allow dis-intermediation accross all secors, gloabally

– In the knowledge Economy, Information curation has no limit (intangible assets creation is limitless)

– Collective utopic evolution is possible, in a collaborative world common good is stronger than selfish behavior

– We have the tool for collective evolution and spiritual enlightenment, Act for common good

– Dictators and tyrants are losing grip to divide , scare masses in a connected world

– Knowledge and information can be stored and shared like never before globally at fractional cost

– Collaboration become a winning force versus Selfish behavior (sharing resources empowers Netizens collectivelly)

– many collective and massive scale online collaboration programs become possible, we just need to think BIG

– Scallability is cheaper in the new Zero marginal cost society

Risks, challenges and Threat:

big brother

– Innovation and change pace make it even more complex to understand/reflect analyse

– Information overload increase the risk of confusion, propaganda, disinformation, lies….

– Mankind has never seen so fast and disruptive changes taking place: Independent thinking & big picture vision is complex

– Collaboration and collective evolution is threatened by Big Brother watching us, Voluntary Disinformation rewriting history

– Distinguishing facts from fiction, truth from Lies/propaganda becomes complicated

– State spying , disinformation becomes increasingly organized

– reality and fiction become increasingly difficult to separate/ recognize

– right for data privacy, information self disclosure are at risks

– Conservation , authentication of Numeric information is a challenge for the posterity

– World changing so quick that world wisdom and understanding may be lagging

– State and ruling power losing grip on existing power creates new danger: if Collective evolution is not shared gloablly

The future explained to Bankers….Big Bang in Banking Tsunami Alert!

Not sure most Bankers are ready to read, understand, believe and realize what is clearly explained by reputable consultants….from Accenture.  It’s a bit like explaining Video games Sophistication to your grand parents….

It seems that more and more strategists and  Tech innovation’s observers agrees on the FAST coming BIG BANG in Banking, last large industry still largely unshaken until now….

Bitcoin timid emergence is just a warning sign, announcing the tilde wave/tsunami which will hit Banking in the coming decade, and all it’s aspects: Cloud computing, mobile banking and online collaboration, crow sourcing, peer to peer lending, fintech Innovation, gamification…… Are you getting it yet?

Get ready and embrace innovation & change, or become extinct Dinosaur in one generation 🙂

big bang disruption book big bang market segment


Surf the coming huge innovation wave in Banking, or you will perish sooner than later 🙂 Friendly warning to conservative Bankers and Banksters. LOL


It’s seems like Science fiction to you, I think the after Big Bank will be even more surreal and different: a real paradigm shift for all Banks and worldwide…. I myself predict the death of Money as we know it today….New and innovative solutions and funky ideas are emerging from all fronts 🙂 . It’s going to be a rough and roll ride guys!

Semantic analysis and correspondance / info curation brain storming

Good vibes = good communication, inter-action, information exchange

Balanced interaction = Healthy and harmonious, prettyshapes,  sustainable eco-system, give and take, optimum synergetic information ranking

Best information inter-action system: Systemic analysis and info curation on qualitative norms.

Uncurated information = raw material with little or no value = Chaotic, unsorted and messy

Fintech the-modern-treetree of Knowledge

Qualititative information curation = Value added info, qualitatively enhanced, verified quantified  sorting of information

qualittative ranking criteria, optimisation of synergies…

Web search engine of the past = near 0 Curation criteria, SEO tools disturb healthy curation

Future engine = Information sorting, ranking, and qualifying by open collaborative communities

Data Mining = Collecting mainly useless low quality information, as unsorted

Collective Gold Mining= Sorting, ranking, analysis with human quantitative and collaborative criteria