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Research data: what can libraries do?

Zaven Akopov
Deutsches Elektronen-Synchrotron DESY

Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 1
Contents

• Data preservation as an intrinsic part of Open Data
• HEP Data: challenges and specifics
• Requirements for documentation and long-time
storage
• Types of documents
• high-level (secondary) data
• Assignment of metadata and long-time storage in
Inspire

Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 2
Data Preservation as an intrinsic part of Open Data
• Data management cycle in HEP
• data taking – initial storage – data processing –
storage of processed data (high level data) – physics
analysis (software) – publication of papers
(interpretation)

•

initially not planned for open access – but limited
lifetime of experiments …

•

providing infrastructure for data preservation
might be paving the path to sustainable (open)
access to data

Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 3
HEP Research Data: Motivation
•

Accelerators, Detectors

•

Unique experimental data, usually not reproducable in
other labs

•

A lot of resources and investments to build detectors,
provide for manpower for data analysis

•

By the end of experimental data taking still substantial
amount of data not analyzed

•

The data can also be processed and analyzed using
eventually new methods and models which developed over
time; new approaches.

•

Bottomline: the HEP data should be made accessible and
be preserved

Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 4
Efforts and models
• DPHEP Working group active since 2009:
www.dphep.org
• 4 “levels” of HEP Research data and its preservation
have been identified

Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 5
Efforts and models
• Most collaborations and labs plan the “Level 4
preservation” (raw data)
• The requirements of “Level 1” and partially, of “Level 2”
can and should be fulfilled using a high-end
bibliographic system, with metadata assignment, etc.
• This is where the Library can help to close the gap in
the complete data preservation cycle:
• Identifiable data
• Focus data access: preservation is an integral part of
data management.
Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 6
Specific cases
•

To provide the necessary know-how for re-use: not only
the (primary) data itself and analysis software needed,
but also the associated documentation related to data
taking and analysis (technical guides, internal notes,…)

•

… which provide basis for the corresponding
publications – but also substantially more additional
information, e.g.:
• Details of the data analysis methods (software,
simulation, …)
• Detectors and their components (pedestals,
operating parameters, …)

•

Need to preserve: secondary data (tables, root scripts,
codes, plots) - simplified Data from Level 2

Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 7
Long-time storage
•

Example HERA (DESY):
•

By the end-of-running, storage on collaboration/IT
structures (servers run by the staff or IT)

•

Websites, AFS space, propietary structures, etc.

•

Lack of real bibliographic system (metadata,
complex search engine, …)

•

No consistent strategy and no sustainability:
these structures would not be preserved by the
DESY/IT
-> provide infrastructure
Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 8
Why INSPIRE?
•

Ingestion of the technical documents and analysis
notes - possibility to interlink them with the actual
publications (based on…, superceded by…)

•

The documents are preserved and are not
dependent on the life expectancy of the specific
experiment and it‘s IT infrastructure

•

Many Inspire features like fulltext search, data
object citation, etc.

•

The secondary data (high-level data) provide
added value to the existing publications

Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 9
INSPIRE Features
• Google-like speed for up to 2M records
• Combined search of Metadata, References,
Fulltext
• Scalability
• Flexible metadata (multimedia, secondary data)
• Personalisation (claim your paper)
• One-stop-shop for HEP information
• Fulltext repository
• Integration of research data

Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 10
Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 11
Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 12
Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 13
Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 14
Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 15
Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 16
Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 17
Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 18
Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 19
Long-term access
• The documents (Notes) Access Control
• Working together with the labs to develop
effective access control strategies
(short/long-term)
• Simple user accounts are live
• Curator accounts live
• Further options
• Flexible user accounts (based on author
lists, external authentification SSO), e.g.
arXiv account

Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 20
Summary
•

•

•

•
•

Collaboration of DESY Library (Inspire) with DPHEP
• HERMES, ZEUS, H1, ZEUS Experiments
• Internationally – DØ, CDF (Fermilab), BaBar
(Stanford)
First stage completed for all HERA experiments and
D0 (Fermilab): all of the internal documentation are
stored in Inspire
Second Stage comleted: Collaboration curator
accounts with modification rights are also live and a
success
Test phase: ZEUS and BaBar preliminary notes
harvested; the rest should follow;
High-level Data in Inspire: HEPData, Plots, etc. –
Inspire provides longtime preservation.

Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 21
Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 22
Z. Akopov
Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop
June 11, 2013 | Page 24

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Research data: what can libraries do?

  • 1. Research data: what can libraries do? Zaven Akopov Deutsches Elektronen-Synchrotron DESY Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 1
  • 2. Contents • Data preservation as an intrinsic part of Open Data • HEP Data: challenges and specifics • Requirements for documentation and long-time storage • Types of documents • high-level (secondary) data • Assignment of metadata and long-time storage in Inspire Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 2
  • 3. Data Preservation as an intrinsic part of Open Data • Data management cycle in HEP • data taking – initial storage – data processing – storage of processed data (high level data) – physics analysis (software) – publication of papers (interpretation) • initially not planned for open access – but limited lifetime of experiments … • providing infrastructure for data preservation might be paving the path to sustainable (open) access to data Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 3
  • 4. HEP Research Data: Motivation • Accelerators, Detectors • Unique experimental data, usually not reproducable in other labs • A lot of resources and investments to build detectors, provide for manpower for data analysis • By the end of experimental data taking still substantial amount of data not analyzed • The data can also be processed and analyzed using eventually new methods and models which developed over time; new approaches. • Bottomline: the HEP data should be made accessible and be preserved Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 4
  • 5. Efforts and models • DPHEP Working group active since 2009: www.dphep.org • 4 “levels” of HEP Research data and its preservation have been identified Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 5
  • 6. Efforts and models • Most collaborations and labs plan the “Level 4 preservation” (raw data) • The requirements of “Level 1” and partially, of “Level 2” can and should be fulfilled using a high-end bibliographic system, with metadata assignment, etc. • This is where the Library can help to close the gap in the complete data preservation cycle: • Identifiable data • Focus data access: preservation is an integral part of data management. Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 6
  • 7. Specific cases • To provide the necessary know-how for re-use: not only the (primary) data itself and analysis software needed, but also the associated documentation related to data taking and analysis (technical guides, internal notes,…) • … which provide basis for the corresponding publications – but also substantially more additional information, e.g.: • Details of the data analysis methods (software, simulation, …) • Detectors and their components (pedestals, operating parameters, …) • Need to preserve: secondary data (tables, root scripts, codes, plots) - simplified Data from Level 2 Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 7
  • 8. Long-time storage • Example HERA (DESY): • By the end-of-running, storage on collaboration/IT structures (servers run by the staff or IT) • Websites, AFS space, propietary structures, etc. • Lack of real bibliographic system (metadata, complex search engine, …) • No consistent strategy and no sustainability: these structures would not be preserved by the DESY/IT -> provide infrastructure Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 8
  • 9. Why INSPIRE? • Ingestion of the technical documents and analysis notes - possibility to interlink them with the actual publications (based on…, superceded by…) • The documents are preserved and are not dependent on the life expectancy of the specific experiment and it‘s IT infrastructure • Many Inspire features like fulltext search, data object citation, etc. • The secondary data (high-level data) provide added value to the existing publications Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 9
  • 10. INSPIRE Features • Google-like speed for up to 2M records • Combined search of Metadata, References, Fulltext • Scalability • Flexible metadata (multimedia, secondary data) • Personalisation (claim your paper) • One-stop-shop for HEP information • Fulltext repository • Integration of research data Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 10
  • 11. Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 11
  • 12. Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 12
  • 13. Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 13
  • 14. Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 14
  • 15. Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 15
  • 16. Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 16
  • 17. Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 17
  • 18. Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 18
  • 19. Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 19
  • 20. Long-term access • The documents (Notes) Access Control • Working together with the labs to develop effective access control strategies (short/long-term) • Simple user accounts are live • Curator accounts live • Further options • Flexible user accounts (based on author lists, external authentification SSO), e.g. arXiv account Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 20
  • 21. Summary • • • • • Collaboration of DESY Library (Inspire) with DPHEP • HERMES, ZEUS, H1, ZEUS Experiments • Internationally – DØ, CDF (Fermilab), BaBar (Stanford) First stage completed for all HERA experiments and D0 (Fermilab): all of the internal documentation are stored in Inspire Second Stage comleted: Collaboration curator accounts with modification rights are also live and a success Test phase: ZEUS and BaBar preliminary notes harvested; the rest should follow; High-level Data in Inspire: HEPData, Plots, etc. – Inspire provides longtime preservation. Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 21
  • 22. Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 22
  • 24. Zaven Akopov | “Research Data: What can libraries do? | Helmholtz Open Access Workshop June 11, 2013 | Page 24