1. E-Science Life-Cycle
A. D. Smith – September 26, 2011

2. E-Science Life-Cycle
“The life cycle framework helps us visualize or imagine relationships across the stages of research that might otherwise be overlooked.”
e-Science and the Life Cycle of Research
Charles Humphrey

3. E-Science Life-Cycle
Scientific Communication Life-Cycle model

4. E-Science Life-Cycle

5. E-Science Life-Cycle e-Science and the Life Cycle of Research
New
Knowledge
e-Science and the Life Cycle of Research
Charles Humphrey

6. E-Science Life-Cycle
Applied
Science

7. E-Science Life-Cycle “traditional” research publication
in the past, libraries involved at this end
“traditional” research publication
“published” data/ datasets
unpublished research traditional
“published” research non-traditional
published research traditional
secondary tertiary resources
analyzed data/ datasets
currently many attempts to data mine to uncover data…
processed data/ datasets
metadata curation profiles for data (i.e., data repositories) allow forward/backward movement through scholarly communication process
<D. Scott Brandt (Purdue)>
“raw” data/ datasets

8. E-Science Life-Cycle
The passing of research information between stages often means a shift in responsibility.
Risk of “orphaned research”
Intellectual Property
Interdisciplinary research

9. E-Science Life-Cycle
Research libraries have a significant role to play along with data archives and scientific publishers in providing a safety net for capturing and retaining the products of scientific research.
James Jacobs and Charles Humphrey, Preserving Research Data, Communications of the ACM, Vol. 47 (9), pp

10. E-Science Life Cycle
Data archiving is a process, not an end state where data is simply turned over to a repository at the conclusion of a study.
James Jacobs and Charles Humphrey, Preserving Research Data, Communications of the ACM, Vol. 47 (9), pp

11. E-Science Life Cycle
Curators should be involved early in the project and incorporate a schedule that covers the course of the project’s life cycle.
Curators should create and preserve metadata that supports a full life term of data use.

12. E-Science Life Cycle
“Data services will at some point be a model for library services in general as libraries deal increasingly with digital materials and become more of a lab than a warehouse.”
This is a key quote from Jacobs and Humphrey
James Jacobs and Charles Humphrey, Preserving Research Data, Communications of the ACM, Vol. 47 (9), pp

13. E-Science Life Cycle Research Library Research Laboratory
Many current organization models have separate functional areas for library and lab

14. Research Library and Laboratory
E-Science Life Cycle
Research Library and Laboratory
This approach has its advantages.

15. E-Science Life Cycle
EXERCISE: How do you perceive the role and participation of libraries within modern research?
Form into groups of 3 to discuss the question above
Consider the course presentation to help in formulating your thoughts.
More importantly, rely on your own intuition and career knowledge.
Use the list provided and select 5 roles that seem most important and popular within your respective groups. (Use the blank spaces to write in roles that are not listed)
Next, rank the 5 roles you’ve selected with 1 being the most important.
1. Did you have a difficult time selecting 5 roles? Why?

16. E-Science Life Cycle
Play roles in the selection, acquisition, and licensing of data and data sets
Creating metadata (or metadata standards) for discovery and description of data sets
Creating or organizing documentation related to data
Preservation services for digital data
Advising in the appraisal and selection of what data to keep for the long term
Assist users with finding data relevant to their research
Advise and help develop publishing standards and systems.
play a similar role in developing data publication standards and systems.
publishing workflows, global identifier schemes, linking schemes, standards for data clean-up and normalization
play a role advocating for the documentation of rights and intellectual property in relation to data and help make the case for an overarching vision for open science
offer long-term repositories of scholarly output.

17. E-Science Life Cycle

18. E-Science Life Cycle
This approach has its advantages.