data management future: an ecar presentation (180601411)

8/14/2019 Data Management Future: An ECAR Presentation (180601411)

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Data Management FutureAn ECAR Presentation-

Friday Oct 18, 9:10 AMGuy 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 thisgoing?



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 Data

Data which is used in the day to day running of thebusiness 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 Data

Data 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?

TodayOn campus

In the cloud

At research “centers”

Moving toward

As the size of data sets grow, research data will needto live near where it will be used

Significant portions of data will live distributed in thecloud, and “Big Data” techniques will need to be usedto collect and analyze




Growing


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 Data

Data that is associated with teaching and learning. Thisincludes 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?





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 similaritiesbetween 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-involved

We’d love to have you join us!

mailto:[email protected]

http://www.educause.edu/ecar/ecar-working-groups/get-involved









mailto:[email protected]

data management future: an ecar presentation (180601411)

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