More Perspectives on Sharing Large Open Research Data Sets: Physics
McCauley provides a nuanced view of open data in the CERN context that I believe helps make sense of a very complex situation.
Trials and Tribulations of Converting a Blog from Squarespace 5 to Mobile-Friendly Squarespace 7
The initial importation of text, images, categories, and links from 5 to 7 went very smoothly.
Or so I thought.
Chrome OS: Friend, Threat, or Menace?
As much as I enjoy using Chrome OS, I would think long and hard before recommending it to someone else...
Thinking About “Data Program Governance”
Creating a data program governance strategy is not unlike creating other types of enterprise business strategies.
Improved Data Access Requires More than Analytics and Technology
Whatever the environment, new data management and analysis technology may be important, but success and sustainability will also be driven by how we manage it and by how successful we are in putting data users and their priorities into the driver’s seat.
No More Surveys!
I believe that polling numbers released to the public without serious methodological detail will be worthless and not to be trusted.
Embracing Your Dead Linkedin Connections
Today I received a LinkedIn connection recommendation for a beloved neighbor who died more than five years ago.
On Managing Health Data Programs: Some Thoughts After the Health Datapalooza Conference
As an extension of my own research and consulting on big data project planning and management, I wanted to improve my understanding of how data governance and program management practices impact how medical and health data are used.
What Kind of Management Structure Is Needed to Govern a Data Analytics Program?
I’m fairly “old-school” when it comes to planning and building information systems. That is, first you decide what your requirements are and what services you need to provide, then you decide which technologies you need to adapt, develop, or purchase to help you meet those requirements.
Do Health Data and Metadata Ownership Licenses Help or Hurt Innovation?
We see how the current web of licensing agreements is hobbling cable TV operators as they find themselves having to compete more and more with web based streaming services. Isn’t it also possible that similar restrictions regarding health data and metadata might provide similar challenges to creating new and beneficial products and services from shared data?
Google Security Checkups and Your Devices
I really do wish I knew what Google was doing with this information it derives about my online behavior.
Learning From General Electric’s Big Data Challenges
Two risks are apparent for GE’s approach which may also be relevant to other industries where cloud-based analytical platforms are being developed and marketed. (I’m thinking here, for example, of medical devices, prescription medicine, and treatment costs.)
Can Government Regulations Drive Improvements in Enterprise Data Governance?
Government regulators need to be sensitive to the costs of complying with and overseeing the regulations they impose on data management, as do the organizations that are regulated. Costs related to data oversight, quality control, standardization, security, and privacy all need to be considered in comparison with the quantitative and qualitative benefits that will be generated.
How Important Is "Perfect Data" To Your Data Analytics Program?
If you’re doing exploratory data analysis to help you decide how much data prep might be needed to make your data public, that’s one thing.
What Goes Up Must Come Down: Comparing 'Big Data' with 'Web 2.0'
While I expect that the term “big data,” like the term “web 2.0,” will be with us for a long time, it use may very well decline as different organizations move ahead by incorporating improved analytics into both operations and their decisionmaking — regardless of what they call it.
Regarding Big Data One Manager's "Resistance" Is Another Manager's "Caution"
Given the wide variations that currently exist in most organizations in understanding the ins and outs of managing current data governance and analytics practices, it’s not surprising that bringing in potentially “disruptive” technologies will be even more of a challenge.