All in BDPM
Data Standards and Data Dictionaries Need Data Governance
Given the likely impact of the coming U.S. DATA Act on access to federal spending data, and continued development of federal “open data” programs, I wanted to “pick the brain” of someone for whom data and metadata standardization is a “meat and potatoes” business.
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.
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.
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?
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.