Data Informatics
70
The application and usage of data along with the interaction between people, organisations and technology
Curated by Stephen Dale
Follow
Rescooped by Stephen Dale from Content Curation World onto Data Informatics
Scoop.it!

Successful Video Curation Examples

 

 


Via Robin Good
Stephen Dale's insight:

Video curation - the next big thing? 

Robin Good's curator insight, December 24, 2012 9:06 AM


Tim Buchalka illustrates with some real world YouTube video channels, some successful examples of video curation at work.


Though the examples chosen do require some sophisticated production skills and equipment, the fundamental editorial philosophy behind them does not require any expensive technology, but the ability to find and showcase interesting content while contributing your own viewpoint and commentary.


Interesting Examples. Useful. 6/10


Original video: http://www.youtube.com/watch?v=KNJd0xIo2ec



LLatipi's curator insight, December 25, 2012 12:35 AM

Great tips!

@erococonut's curator insight, December 29, 2012 7:07 AM

Show it! If an image is worth a thousand words, a video is worth a million.

Stephen Dale is also curating
The Social Web
Discover Topics Stephen Dale is following
The 21st Century Content Curation World Learning Technology Social Media Content Curation Curation, Social Business and Beyond Digital-By-Design
and 47 others
Your new post is loading...
Rescooped by Stephen Dale from Curation, Social Business and Beyond
Scoop.it!

Social Media Strategy: Why Insight and Evidence is So Important

Social Media Strategy: Why Insight and Evidence is So Important | Data Informatics | Scoop.it
Stephen Dale's insight:

A timely call for a dispassionate, unbiassed and "agnostic" analysis of data to discover what it is really telling us, and then acting on this information. Sounds obvious? Then why are we so often misled through our ignorance of good and accurate data analysis? 

digitalassetman's comment, February 28, 8:19 AM
I think the real data will show up when we explore linked open data of social networks, rendering this with social footprints, blogs and other contributions people who influence because they share their unique parts of the knowledge taxonomy with one another and like this comment, usually in a meta or keywording format/s.
Bryce Miller's curator insight, March 4, 11:38 PM

Social media strategies devoid of risk management can lead to long days in the court room. Most businesses are not aware of the legal and reputational risks surrounding social media done poorly.  Comments are welcome.

Ivon Prefontaine's curator insight, May 21, 6:28 PM

"It’s been said that 85% of the people who work in social media have been in the industry for less than two years. I think it was LinkedIn who first suggested this, but it often explains why there is so much bad advice floating around, so many poorly devised strategic plans and so much money wasted on failed campaigns." We have serious problems because many are self-appointed leaders.

Rescooped by Stephen Dale from Visualization Techniques and Practice
Scoop.it!

The Science of What We Do (and Don't) Know About Data Visualization

The Science of What We Do (and Don't) Know About Data Visualization | Data Informatics | Scoop.it
There are still open questions, but the research can provide some answers about what works.

Via Beth Kanter
Stephen Dale's insight:

Proving that data visualisation is more of a science than an art.

Beth Kanter's curator insight, May 8, 11:43 AM

Visualization is easy, right? After all, it's just some colorful shapes and a few text labels. But things are more complex than they seem, largely due to the the ways we see and digest charts, graphs, and other data-driven images. While scientifically-backed studies do exist, there are actually many things we don't know about how and why visualization works. To help you make better decisions when visualizing your data, here's a brief tour of the research.

Scooped by Stephen Dale
Scoop.it!

Healthcare's Big Problem With Little Data

Healthcare's Big Problem With Little Data | Data Informatics | Scoop.it
Every year, the analyst firm Gartner publishes between 90 and 100 "Hype Cycles" with insight on about 1,900 different technologies.
Stephen Dale's insight:

According to Gartner, Big Data has about 2-5 years before reaching it’s ”Plateau of Productivity.” That’s the enviable point at which a technology finally delivers predictable value. The promise of Big Data, of course, is a treasure trove of high value across many industries  – including healthcare. Everything from predictive and prescriptive analytics to population health, disease management, drug discovery and personalized medicine (delivered with much greater precision and higher efficacy) to name but a few.

 

Big Data is clearly where all the excitement and headlines are, but it’s the little data that is likely to have the most effect on our individual healthcare. That is at least until Big Data gets well beyond its “peak of inflated expectations” and closer to its “plateau of productivity.” The question then is – which vendors are likely to be around in 2-to-5 years?

No comment yet.
Scooped by Stephen Dale
Scoop.it!

Understanding personal learning networks: Their structure, content and the networking skills needed to optimally use them | Rajagopal | First Monday

Understanding personal learning networks: Their structure, content and the networking skills needed to optimally use them | Rajagopal | First Monday | Data Informatics | Scoop.it
Understanding personal learning networks: Their structure, content and the networking skills needed to optimally use them
Stephen Dale's insight:

Networking is a key skill in professional careers, supporting the individual’s growth and learning. However, little is known about how professionals intentionally manage the connections in their personal networks and which factors influence their decisions in connecting with others for the purpose of learning. In this article, we present a model of personal professional networking for creating a personal learning network, based on an investigation through a literature study, semi–structured interviews and a survey.

No comment yet.
Rescooped by Stephen Dale from Curation, Social Business and Beyond
Scoop.it!

What Data Can’t Do - for one Thing, it Can't Measure Social Context

What Data Can’t Do - for one Thing, it Can't Measure Social Context | Data Informatics | Scoop.it
Data can’t account for everything in our experience, nor serve as the only guide for our thinking, planning and decision-making.

Via janlgordon
Stephen Dale's insight:

In order to really understand what the data is telling you (i.e. the information) you need to add context through narrative.

janlgordon's comment, February 27, 6:18 PM
Well put Neil Wilkins, I'm in total agreement!!
janlgordon's comment, February 27, 6:19 PM
Thank you Stephen Dale, adding context through narrative is a skill all by itself. Thanks for your comment....
Ignasi Alcalde's curator insight, April 19, 7:12 AM

Los límites de los datos.

Rescooped by Stephen Dale from Visualization Techniques and Practice
Scoop.it!

Types of Graphs | Graphs.net

Types of Graphs | Graphs.net | Data Informatics | Scoop.it
Graphs are a visual treat, as they can present complex information in a quick and easy manner. Mostly graphs are used to reveal a trend, compare statistics or

Via Beth Kanter
Stephen Dale's insight:

A useful overview of different types of graphs and where they might be used.

Beth Kanter's curator insight, December 30, 2012 4:07 PM

Handy cheat sheet for picking the right chart and graph.  Text description and infographic.    

Scooped by Stephen Dale
Scoop.it!

Six ways data journalism is making sense of the world, around the world - O'Reilly Radar

Six ways data journalism is making sense of the world, around the world - O'Reilly Radar | Data Informatics | Scoop.it
When I wrote that Radar was investigating data journalism and asked for your favorite examples of good work, we heard back from around the world. I received emails from...
Stephen Dale's insight:

Some great examples of data journalism and data visualisation.

No comment yet.
Scooped by Stephen Dale
Scoop.it!

To Email or To Collaborate: Unlocking Value of Social Collaboration

To Email or To Collaborate: Unlocking Value of Social Collaboration | Data Informatics | Scoop.it
Do you remember that old familiar chime “you’ve got mail!”? You couldn’t wait to open the mailbox flag icon on your desktop that signaled a new email message was waiting to be read.
Stephen Dale's insight:

Many organizational leaders today struggle with the decision to remain in the comforts of communicating with colleagues through familiar email platforms, or to move to more advanced social collaboration platforms that encourage communicating and sharing between teams in real-time. And in this later scene, significant benefits can be received such as increased employee engagement, knowledge sharing and productivity.


Email works well when sending confidential or restricted information, or if you want to control the content or broadcast a message to multiple contacts as part of an online marketing campaign. However when it comes to collaborating with teams on time-sensitive projects, or to gain critical insight from others on documents and business decisions, email has proven time and time again to be a major hindrance to an organisation’s productivity.

 

Insight and value: 8/10

No comment yet.
Scooped by Stephen Dale
Scoop.it!

The Human Algorithm: Redefining the Value of Data - Brian Solis

The Human Algorithm: Redefining the Value of Data - Brian Solis | Data Informatics | Scoop.it
Stephen Dale's insight:

Brian Solis expounds the importance of the 'human algorithm', the people and skills required to anaylse and interpret the data that is being collected in ever-increasing volumes (big data is BIG), and with the insight and ability to put knowledge to work.

 

The human algorithm is a function of extracting insights with intention, humanising trends ad possibilities and working with strategists to improve and innovate everything from processes to products to overall experiences.

 

The human algorithm can have an immediate impact with social media listening. In addition to tracking simple data signals such as conversations, sentiment, share of voice and service inquiries, data can present insights into preferences, trends, areas for innovation or refinement, R&D, and co-creation Even though sophisticated tools can help track data points that can lead to these insights, it still takes a human touch to surface them and in turn advocate findings within the organisation.

 

At present the  community or social media manager is not tasked with this type of responsibility therefore, insights largely remain undiscovered. It takes a new role that unites the disciplines of business intelligence and social media with the perseverance of a change agent. Without it, the insights that lead to innovation will be stifled by fear and skepticism.

 

Insight and value 9/10

No comment yet.
Rescooped by Stephen Dale from Visualization Techniques and Practice
Scoop.it!

Infographic: the Future of Big Data

Infographic: the Future of Big Data | Data Informatics | Scoop.it

Big data is not new. It has existed for ages and can be attributed even to the initial years of computing. However, one might do well to consider why is there an increased buzz around this now.

The answer is quite simple: Significant advances that have been brought about by x86 hardware have actually helped in bringing computing power to the masses. However, with new technologies, cloud computing has extended this power. Now, users have extended perimeters, while still being able to control costs effectively...


Via Lauren Moss, Beth Kanter
No comment yet.
Rescooped by Stephen Dale from Community Managers Unite
Scoop.it!

The complete guide to Twitter’s language and acronyms

The complete guide to Twitter’s language and acronyms | Data Informatics | Scoop.it

The beauty and challenge of Twitter is stuffing your most sophisticated thoughts and feelings into a measly 140 characters (or less). No good tweet is ever going to be 140 characters because it’s impossible to share, respond or reference a tweet that’s already at it’s max. If you want to make a big statement with a small message, you have to trim the fat. From the basic beginner to a tweet-savvy expert, this cheat sheet will help you navigate the perplexing and concentrated language that often appears in the stream, and make you seem like a regular pro in no time.


Via Baochi
No comment yet.
Rescooped by Stephen Dale from Curation, Social Business and Beyond
Scoop.it!

Do You Know How Social Currency Influences Behavior?

Do You Know How Social Currency Influences Behavior? | Data Informatics | Scoop.it
Conversation Agent quotes on Influence from Valeria Maltoni It's the age of the connected customer and people are now comfortable using technology to share -- privately or in public.

 

Here are some highlights:

 

How social currency influences behavior

 

**Social influences include peer pressure and social exchange. The latter is stronger than an economic motive.

 

**Most human interactions consist of an exchange of value. From a psychological standpoint, actions like sharing signal desire for self expression, need for validation, and social status recognition, and also simply altruism and affinity with a group or cause.

 

**Both social influences are amplified in public settings.

 

Psychologist Robert Cialdini documented six principles of ethical persuasion:

 

**social proof

 

**authority

 

**affinity

 

**commitment

 

**consistency

 

**reciprocity

 

Selected by Jan Gordon covering "Curation, Social Business and Beyond"

 

Read full article, see slideshare, images here: [http://bit.ly/VySDuu]


Via janlgordon
Thomas Wooldridge's comment, April 19, 7:17 AM
social Proof.. It is what we all seek
Rescooped by Stephen Dale from Social Media Content Curation
Scoop.it!

Creating Order From Digital Chaos | GigaOM

Creating Order From Digital Chaos | GigaOM | Data Informatics | Scoop.it

Giuseppe Mauriello: I read this interesting article on GigaOM by Jim Hornthal that published an excerpt from his TED ebook “Haystack Full of Needles: Cutting Through the Clutter of the Online World to find a Place, Partner, or President.”

 

Here are some points that they caught my attention:

"What happens when data is huge? We get lost. Discovery, not search, will produce the next data-exploration breakthrough.

 

In the modern era, information overload has become an even larger problem than information scarcity. Data is generated by the ton, and most of it is not remotely relevant or useful. The way we search has even created a gray market in this thin veneer of content, often referred to as “faux content.”

 

Estimates vary but all point to evidence that a great percentage of the web today is simply manufactured sites created specifically to scoop up visitors in search of ad dollars. The effect isn’t just a nuisance, and makes sifting through the ever growing tons of online data even more confounding.

 

The back-link game, or the process by which websites can purchase inbound links — Google’s original secret sauce that generated results based on the “authority” of a web page — has become vital to generating superior search results, and the multibillion-dollar search-engine optimization industry is built on reverse-engineering the actual search algorithms for commercial gain.

 

Rich Skrenta, the CEO of the spam-free search engine Blekko, frames this de-evolution in an interesting way: “Today, the Web has become a tragedy of the commons, a social system ruled by spam — over 90 percent of URLs today are pure junk!”

 

Fortunately, there is a growing band of innovators who have taken up the challenge and are tackling those issues — with startlingly similar approaches. Their universal mission is to employ relevant, expert-based pattern recognition to generate a useful consumer outcome.

 

For these passionate discovery engineers, the goal is not to find a needle in a haystack, but instead to present a haystack of needles, an array of potential valuable answers to a growing list of useful and impactful questions..."

 

Read full original article here:

http://gigaom.com/2012/10/20/creating-order-from-digital-chaos/

 


Via Giuseppe Mauriello
No comment yet.
Scooped by Stephen Dale
Scoop.it!

Six Numbers Reveal the Booming Business of Auto-Analytics

Six Numbers Reveal the Booming Business of Auto-Analytics | Data Informatics | Scoop.it
From Apple to Nike, companies are cashing in on self-measurement.
Stephen Dale's insight:

Research suggests more and more people are engaged in some form of self-tracking behaviour, mainly but not exclusively in areas related to health and wellness. There is a fundamental behavioral switch from analog tracking to digital. Technolgy includes wearable computing devices, smart watches and smart clothing,


Apple's recently amended 84-page patent filing shows the extent to which the company has been thinking about changing self-measurement the way it changed music. As one analyst sums up: "the company is...developing an entire wearable/detachable computing platform and ecosystem comprised of wireless sensing systems for monitoring...sports activity, athletic training, medicine, fitness and wellness in humans.



No comment yet.
Scooped by Stephen Dale
Scoop.it!

Digital Surveillance | Open Rights Group

Digital Surveillance | Open Rights Group | Data Informatics | Scoop.it
Stephen Dale's insight:

This report demonstrates that surveillance policy makers have options, many of which are a lot less intrusive than the powers proposed by the Communications Data Bill (otherwise know as the 'Snooper's Charter'), and that civil society is open to meaningful engagement about surveillance laws in the digital age.

 

It is written for a general audience by leading experts, academics and representatives of a number of civil society groups. The articles in this publication serve as an example of the sort of conversations that
would be possible through a proper public debate about what information should be collected and who should have access to it.

 

The report features contributions from a range of experts setting out how more privacy-friendly surveillance policy could work and concludes with 

some recommendations for future surveillance policy making.

 

Insight 10/10

Value 10/10

No comment yet.
Scooped by Stephen Dale
Scoop.it!

Open Data on the Web 2013 – Frictionless Data | Open Knowledge Foundation

Opening Knowledge for Everyone
Stephen Dale's insight:

These slides are from a talk given by Rufus Pollock, a Founder and Director of the Open Knowledge Foundation, at the Open Data on the Web Workshop on April 23rd 2013.

No comment yet.
Scooped by Stephen Dale
Scoop.it!

Tech's Hard-Boiled Progeny: The Data Journalist | Data Management | TechNewsWorld

Tech's Hard-Boiled Progeny: The Data Journalist | Data Management | TechNewsWorld | Data Informatics | Scoop.it
When we think of traditional news gatherers, we might conjure up the image of an obstreperous character brazenly hassling a slimy official for the real story -- or hovering paparazzi harassing a poor celebrity innocently shopping for handbags in...
Stephen Dale's insight:

Describes the growth and importance of Data Journalism in bringing informaton to life. Infographics and other visualisation techniques delivered with cutting and insightful narrative is the new and emergent paradigm for mainstream journalism.

 

Oner example cited in the piece is data on crime numbers -- public statistics provided by local police departments. The data is collected as part of the police force's daily operations, and it's published for anyone who bothers to look at it. It's pretty drab stuff -- numbers up, numbers down -- until a data journalist gets hold of it.

 

A data journalist will collect those numbers over time -- often delivered by the agency weekly or monthly, along with geographic coordinates like addresses. That let's the data journalist generate maps, visualisations, reports and adjectives for the neighborhoods within the agency's jurisdiction, thus letting readers keep current on local crime.

 

"Data journalism is a fast-developing field that has transformed investigative reporting across newsrooms for decades in the U.S. and more recently in the UK," said Minal Patel of City University London's the Center for Investigative Journalism.

 

Journalists can get a sense of how to get started with their own projects by consulting the Data Journalism Handbook.


Value: 9/10

No comment yet.
Rescooped by Stephen Dale from Content Curation World
Scoop.it!

From Data To Insight: Turning Information Into Intelligence

From Data To Insight: Turning Information Into Intelligence | Data Informatics | Scoop.it
Marketers are all over big data - but are they looking to big data at the expense of true insights and missing the heartbeat of their customers?

Via janlgordon, Robin Good
janlgordon's comment, January 28, 1:35 AM
Timothy Leyfer, Thank you for your comment, the only thing I can ad is I'm in complete agreement, well said!
janlgordon's comment, January 28, 1:36 AM
Guillaume, we're watching curation evolve, exciting times ahead for sure!
William J. Ryan's curator insight, March 4, 8:35 AM

Same can be said for learning as well, we track a lot in LMS's but are we measuring what matters?  Have we defined, and agreed upon, the metrics that will help the business and the performance of the community we serve?

Rescooped by Stephen Dale from Content Curation World
Scoop.it!

Successful Video Curation Examples

 

 


Via Robin Good
Stephen Dale's insight:

Video curation - the next big thing? 

Robin Good's curator insight, December 24, 2012 9:06 AM


Tim Buchalka illustrates with some real world YouTube video channels, some successful examples of video curation at work.


Though the examples chosen do require some sophisticated production skills and equipment, the fundamental editorial philosophy behind them does not require any expensive technology, but the ability to find and showcase interesting content while contributing your own viewpoint and commentary.


Interesting Examples. Useful. 6/10


Original video: http://www.youtube.com/watch?v=KNJd0xIo2ec



LLatipi's curator insight, December 25, 2012 12:35 AM

Great tips!

@erococonut's curator insight, December 29, 2012 7:07 AM

Show it! If an image is worth a thousand words, a video is worth a million.

Rescooped by Stephen Dale from Content Curation World
Scoop.it!

Trust, Context and Humaness: That's What Makes One a True Curator

Trust, Context and Humaness: That's What Makes One a True Curator | Data Informatics | Scoop.it
Stephen Dale's insight:

A useful insight into what 'digital curation' really means, and what differentiates it from "frictionless sharing", or "link spraying". It seems that in these pioneering days of content curation, the true meaning of the concept has not yet captured the imagination of knowledge professionals. #kmers

Beth Kanter's comment, December 22, 2012 10:50 AM
love the term link spraying
Beth Kanter's curator insight, December 22, 2012 10:51 AM

Robin has curated list of definitions for content curation.  new term link spraying

Eric Moran's curator insight, February 13, 3:50 PM

Common misconception about content curation is that everything is automated . This article does a great job explaining the human element involved in curating content. It also shares some bad habits people pick up from the unintentional convenience of automated tools.

Rescooped by Stephen Dale from Visualization Techniques and Practice
Scoop.it!

How Powerful is Visual Content - here are the Facts & Figures [Infographic]

How Powerful is Visual Content - here are the Facts & Figures [Infographic] | Data Informatics | Scoop.it

This article and infographic was posted by Jeff Bullas. We all know visual content attracts attention - here are some highlights on just how powerful it really is in social media.


Excerpt:


"Visual content has been on a rapid upward trajectory over the last 12 months. Social media platforms such as Pinterest and Instagram have taken the social media world by storm. Instagram announced in July that it had acquired 80 million users"


** Pinterest and Instagram have taken the social media world by storm.Instagram announced in July that it had acquired 80 million users. To put some further perspective on its adoption and growth, the visual social media network is now being used by 40% of the worlds top 100 brands.


Simply Measured looked at Facebook’s top 10 brand pages to find out the real numbers and facts and figures on the engagement and sharing levels of photos and vides in comparison to text and discovered:


Videos are Shared Photos are liked 200% more than text updates


To put some perspective on the power of visual content other studies show that Photo and video posts on Pinterest are referring more traffic than Twitter, Stumbleupon, LinkedIn and Google+.


Selected by Jan Gordon covering "Curation, Social Business and Beyond"


See full article and infographic here: [http://bit.ly/Oj0yKP

 


Via janlgordon, Beth Kanter
Two Pens's curator insight, December 15, 2012 10:55 AM

Visual imagery + story telling. You can't get a better combo.

Ferananda's comment, December 23, 2012 5:52 PM
You are so awesome Beth. Never cease to amuse me. Might 2013 bring you big flows of love. thank you for your work!
Stephen Dale's curator insight, December 24, 2012 3:07 AM

A picture paints a thousand words!

Rescooped by Stephen Dale from Big, Big Data
Scoop.it!

What a big data business model looks like

What a big data business model looks like | Data Informatics | Scoop.it

The rise of big data is an exciting — if in some cases scary — development for business. Together with the complementary technology forces of social, mobile, the cloud, and unified communications, big data brings countless new opportunities for learning about customers and their wants and needs. It also brings the potential for disruption, and realignment. Organizations that truly embrace big data can create new opportunities for strategic differentiation in this era of engagement. Those that don't fully engage, or that misunderstand the opportunities, can lose out.

 

There are a number of new business models emerging in the big data world. In my research, I see three main approaches standing out. The first focuses on using data to create differentiated offerings. The second involves brokering this information. The third is about building networks to deliver data where it's needed, when it's needed.

 

* Differentiation creates new experiences.

 

* Brokering augments the value of information.

 

* Delivery networks enable the monetization of data.


Via Andrew Spong
No comment yet.
Scooped by Stephen Dale
Scoop.it!

BBC News - The top 100 sites on the internet

Which are the biggest sites on the internet? Explore this interactive graphic to find out.

 

- A treemap is a way of analysing large amounts of data in a small space

- In this example the top 100 websites have been depicted in proportion to the number of unique users they received in January 2010

No comment yet.
Rescooped by Stephen Dale from learning stuff
Scoop.it!

Content Curation Tool Scoop.it Introduces New Features: Apps And Extras

In the last week Content Curation Tool Scoop.it announced some new features:

- Google Chrome extension turns your browser into a powerful curation tool.
- The Scoop.it widget allows you to embed a slider from your topic pages.
- The BufferApp and Scoop.it integration is a way to easily schedule the distribution of your posts to social networks.

 

 

Check out full and new features here:

http://www.scoop.it/extras

 

Watch video tour about them: 

http://www.youtube.com/watch?v=q635eCVivUA

 


Via Giuseppe Mauriello, Heiko Idensen, tami neuthal
No comment yet.
Scooped by Stephen Dale
Scoop.it!

Big Data Right Now: Five Trendy Open Source Technologies | TechCrunch

Big Data Right Now: Five Trendy Open Source Technologies  | TechCrunch | Data Informatics | Scoop.it

Big Data is on every CIO’s mind this quarter, and for good reason. Companies will have spent $4.3 billion on Big Data technologies by the end of 2012.

 

There are over 250K viable open source technologies on the market today. This article looks at new technologies that are shaking things up in Big Data:

 

- Storm and Kafka are the future of stream processing, and they are already in use at a number of high-profile companies including Groupon, Alibaba, and The Weather Channel.

 

- Drill and Dremel make large-scale, ad-hoc querying of data possible, with radically lower latencies that are especially apt for data exploration.

 

- R is an open source statistical programming language. It is incredibly powerful. Over two million (and counting) analysts use R.

 

- Gremlin and Giraph help empower graph analysis, and are often used coupled with graph databases like Neo4j or InfiniteGraph

 

- SAP Hana is an in-memory analytics platform that includes an in-memory database and a suite of tools and software for creating analytical processes and moving data in and out, in the right formats.

No comment yet.