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Data Archives - Mark Reynolds

Tag: Data

 

What is Content?

Several internet articles and blogs address the meaning of content from an internet perspective. From this perspective, content is the (meaningful) stuff on a page, the presentation of information to the seeker. But content within an operations-centric perspective is entirely different. And the databases and operational tools must be content data reflecting the desired information being sought in the pursuit of knowledge. Thus, paraphrasing Scottie Claiborne (http://www.successful-sites.com/articles/content-claiborne-content1.php), “content is the stuff in your operations system;  good content is useful information”.Read More …

The Data-Information Hierarcy, Part 3

The Data-Information Hierarchy is frequently represented as Data –> Information –> Knowledge –> Understanding –> Wisdom. Or it is sometimes shortened to 4 steps, omitting Understanding. But, in fact, there are two predecessor steps: chaos and symbol. These concepts have been discussed in prior blogs (http://profreynolds.wordpress.com/2011/01/31/the-data-information-hierarcy/ http://profreynolds.wordpress.com/2011/02/11/the-data-information-hierarcy-part-2/). Chaos is that state of lack of understanding best compared to the baby first perceiving the world around him. There is no comprehension of quantities or values, but a perception of large and small. Symbol (orRead More …

The Physics of Measurements

An NPR report this morning addressed the new rotary-action mechanical heart. Instead of pulsing, it pumps like a conventional pump. (KUHF News Article) As interesting as this mechanical marvel is, an obscure quote discussing the process of measurement deserves some recognition. Dr. Billy Cohn at the Texas Heart Institute says “If you listened to [the cow’s] chest with a stethoscope, you wouldn’t hear a heartbeat. If you examined her arteries, there’s no pulse. If you hooked her up to an EKG, she’dRead More …

Real-Time Data in an Operations/Process Environment

The operations/process environment differs from the administrative and financial environments in that operations is charged with getting the job done. As such, the requirements placed on computers, information systems, instrumentation, controls, and data is different too. Data is never ‘in balance’, data always carries uncertainty, and the process cannot stop. Operations personally have learned to perform their job while waiting for systems to come online, waiting for systems to upgrade, or even waiting for systems to be invented. Once online, systemsRead More …

Multi-Nodal, Multi-Variable, Spatio-Temporal Datasets

Multi-Nodal, Multi-Variable, Spatio-Temporal Datasets are large-scale datasets encountered in real-world data-intensive environments. Example Dataset #1 A basic example would be the heat distribution within a chimney at a factory. Heat sensors are distributed throughout the chimney and readings are taken are periodic intervals. Since the laws of Thermodynamics within a chimney are well understood, the interaction between the monitoring devices can be modeled. Predictive analysis could, conceivably be performed on the dataset and chimney cracks could be detected, or even predicted, in real-time.Read More …

The Data-Information Hierarcy, Part 2

Data, as has been established is the organic, elemental source quantities. Data, by itself, does not produce cognitive information and decision-making ability. But without it, the chain Data –> Information –> Knowledge –> Understanding –> Wisdom is broken before it starts. Data is recognized for its discrete characteristics. Information is the logic grouping and presentation of the data. Information, in a more general sense, is the structure and encoded explanation of phenomena. It answers the who, what, when, where questions (http://www.systems-thinking.org/dikw/dikw.htm)Read More …

The Data-Information Hierarchy

(originally posted on blogspot January 29, 2010) I see much internet attention given to the data –> information –> knowledge –> understanding –> wisdom tree. Most will omit the step of understanding. Many will overlook data or wisdom. But all five stages are required to move from total oblivion to becoming the true productive member of society that pushes us forward. To paraphrase, “it is a process”. “The first sign of wisdom is to get wisdom; go, give all youRead More …

The Digital Oilfield, Part 2

(originally posted on blogspot January 18, 2010) “The improved operational performance promised by a seamless digital oil field is alluring, and the tasks required to arrive at a realistic implementation are more specialized than might be expected.” (http://www.epmag.com/archives/digitalOilField/1936.htm) Seamless integrated operations requires a systematic view of the entire exploration process. But the drilling operation may be the largest generator of diverse operational and performance data and may produce more downstream data information than any other process. Additionally, the drilling processRead More …

The Digital Oilfield, Part 1

(originally posted on blogspot January 17, 2010) The oil business (or bidniz as the old-hands call it) has evolved in drilling, containment, control, and distribution. But the top-level system view has gone largely ignored. Certainly there are pockets of progress. And certainly there are several quality companies producing centralized data solutions. But even these solutions focus on the acquisition of the data while ignoring the reason for the data. “Simply put Digital Energy or Digital Oilfields are about focusing informationRead More …