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An ECAR Presentation- Friday Oct 18, 9:10 AM Guy Almes , Judy Caruso, Mike Fary, Curt Hillegas. Data Management Future. Agenda. Overview ECAR DM group and Data Management Administrative, Research and Academic Data – commonalities, uniqueness, future Data visions - PowerPoint PPT Presentation
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Data Management FutureAn ECAR Presentation-Friday Oct 18, 9:10 AM
Guy Almes, Judy Caruso, Mike Fary, Curt Hillegas
Agenda Overview ECAR DM group and Data Management
Administrative, Research and Academic Data – commonalities, uniqueness, future
Data visions
Discussion - What do you think about the differences, similarities between the different data and where is this going?
Administrative Research Academic
Administrative Data What does it have in common with Research data?
Academic data?
What is unique?
Where is administrative data management going?
Define Administrative DataData which is used in the day to day running of the
business activities of the institution.
Examples of administrative data include student course
grades, employee salary information, vendor payments,
and facilities work orders.
Where Does It Live?Today:
Typically, on premises applications
Vendor provided
University managed (application and infrastructure)
Moving Toward:
Off premises (SaaS)
Many support models
In Common with Other Data Types Asset of the Institution
Policy, and in some cases law, govern it
Demand for access to it is growing
Core infrastructure (network, IdM, etc.)
Unique Tends to be structured
Relatively small in volume
Relies on established technologies
Institutionally managed for 50 years
Where is it going? To the “Cloud” (SaaS, PaaS, IaaS)
Traditional data models (ER) vs.Non-traditional (NoSQL)
Data Services
Predictive Analytics
Data Protection
Public Data Sources
Internal/External Sharing
Research Data What does it have in common with Admin data?
Academic data?
What is unique?
Where is research data management going?
Define Research DataData that is used by or is a product of research.
Examples include:
Output from experimental devices
Masses of data collected from the internet
Results of computation modeling and simulation
Results of data analysis
Data about the data
Where Does It Live?Today
On campus
In the cloud
At research “centers”
Moving toward
As the size of data sets grow, research data will need to live near where it will be used
Significant portions of data will live distributed in the cloud, and “Big Data” techniques will need to be used to collect and analyze
In Common with Other Data Types Growing
Asset of the Institution
Policy and law govern some of it
Core infrastructure requirements
Unique Can be very large (TB, PB, and beyond)
Not necessarily centrally controlled
May require very high performance access
Increasing need to share (both inside and outside the
institution)
Where is it going? Humanities
Social Sciences
Cloud
Research “centers”
Through bigger pipes
Will the data come to the computing or will the
computing come to the data?
Academic Data What does it have in common with Admin data?
Research data?
What is unique?
Where is research data management going?
Define Academic DataData that is associated with teaching and learning. This
includes objects and processes.
Examples of academic data include course catalog,
learning objects, academic program information, learning
outcomes, learning analytics, teaching methods
Where Does It Live?Today:
On premises applications and in the cloud
Scattered – all locations are not known
Moving forward:
More of the same?
In Common with Other Data Types Asset of the Institution
Policy, and in some cases law, govern it
Demand for access to it is growing
Core infrastructure (network, IdM, etc.)
Unique Individual faculty have control over where the data is
What data the institution has is not always known
Course catalog and Program information is critical to
Accreditation
Increasing demand for analytics
Where is it going? To the “Cloud” (SaaS, PaaS, IaaS) – without contracts?
Predictive Analytics
Increased attention to learning outcomes
Data Protection
Internal/External Sharing
Visionary – Technology Trends/Drivers Rapid exponential growth in capacity over time
Mostly a good thing, but note complex societal
implications
Role of the network:
Enables sharing of (even) large data, especially research
Campus-to-campus and/or campus-to-cloud
Sharing raises hard IdM and related federated authentication challenges
Hard technical / infrastructure / policy challenges
Discussion What do you think about the differences and similarities
between the different data?
Where do you think this is going?
Join the ECAR Data Management WG
Contact [email protected].
http://www.educause.edu/ecar/ecar-working-groups/get-i
nvolved
We’d love to have you join us!