Archiving and Preservation

Prepared by:

Christopher Eaker, University of Tennessee, Knoxville

CC BY-NC

Module 7: Archiving and Preservation

Learning Objectives

1. Explain options for a long-term sustainable preservation strategy for your data

2. Identify types of repositories and archives (for different disciplines, institutional, etc.)

3. Choose appropriate subject repository for long term storage of data

4. Understand process issues for depositing data in a repository

Preservation Levels

Bit stream copying

Refreshing

Migration

Emulation

Standardization

Digital Archaeology

Bitstream Copying

1. Definition2. Relationship to other preservation

methods3. Where it is applied4. Important considerations5. Pros6. Cons

Refreshing

1. Definition2. Relationship to other preservation

methods3. Where it is applied4. Important considerations5. Pros6. Cons

Old New

Migration

1. Definition2. Relationship to other preservation

methods3. Where it is applied4. Important considerations5. Pros6. Cons

Emulation

1. Definition2. Relationship to other preservation

methods3. Where it is applied4. Important considerations5. Pros6. Cons

Standardization

1. Definition2. Relationship to other preservation

methods3. Where it is applied4. Important considerations5. Pros6. Cons

Digital Archaeology

1. Definition2. Relationship to other

preservation methods3. Where it is applied4. Important considerations5. Pros6. Cons

Forensic Recovery of Evidence Device (F.R.E.D.)

Data Repositories

• Discipline-specific repositories– NSIDC Data Center (cryospheric data)– GenBank (genetic sequencing data)

• Institutional Repositories– Trace

• Databib.org (registry)• ONEMercury (federated search

engine)

Module 7: Archiving and Preservation

Module 7: Archiving and Preservation

Module 7: Archiving and Preservation

Module 7: Archiving and Preservation

Exercise

Review UT’s Research Data Policy again with respect to preservation of research data.

• Does it have limitations?• What are some ramifications of following

this policy?

Exercise

Search Databib.org for a repository relevant to your discipline and attempt to download a dataset from the repository.

(FYI, you may run into a lot of repositories that are down because of the government shutdown.)

Exercise

What descriptive information would you need to provide with a data set for someone 20 years in the future to understand it and be able to use it?

Think back to the metadata module this morning.