SlideShare ist ein Scribd-Unternehmen logo
1 von 33
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
First Steps in
Research Data Management
Under Constraints of a
National Security Laboratory
Martin Klein
0000-0003-0130-2097
@mart1nkle1n
Brian Cain
0000-0001-7356-5860
@briancain101
Research Library
Los Alamos National Laboratory
Acknowledgements: Herbert Van de Sompel, Frances Knudson, Joshua Finnell, Wei Gu, Jason Keith
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
2
2013 OSTP MEMO
• All federal agencies over $100M annually in R&D required to make
data stored and publicly accessible to search, retrieve, and analyze.
• Scope: data necessary to validate research findings, including data
sets used to support scholarly publications.
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
NATIONAL LABS
Ames
Argonne
Brookhaven
Fermi
Idaho
Los Alamos
Lawrence Berkeley
Lawrence Livermore
NETL
NREL
Oak Ridge
Pacific Northwest
Princeton
SLAC
Sandia
Savannah River
Thomas Jefferson
SCIENTIFIC & TECHNICAL INFORMATION
(STI/R&D Results)
Text
• Journal articles/accepted manuscripts
• Technical reports
• Conference papers
• Patents
Data
• Large and small datasets
• Images
• Visualizations
Software/Code
≥ 50,000 STI “products” annually
$12 Billion
R&D Funding
United States Department of Energy
3
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
United States Department of Energy
4
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
Environmental Scan
• Data Working Group identified 12 institutions and contacted data
services managers at each institution
• Questions regarded:
• Budget
• Staffing
• Data Security/Platform
• Discovery Tools
• Interdepartmental cooperation
• Permanent Data Storage
Budget $200,000 - $2,000,000
Staffing 2-15 FTE
Platform Hydra/Fedora ; Dataverse ; Dspace ; Third Party
Data Discovery Tools Individual silos and catalogs ; APIs
Interdepartmental Cooperation Library ; IT + Library ; Partnership between 3+
Permanent Storage None ; 10-year retention policy ; Forever?
5
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
Data interviews
• Data collection consisted of in-depth interviews with researchers from
across the Lab and were completed during the summer of 2016
• Identify all LANL data sets deposited in external data repositories
by LANL researchers (Figshare, Zonodo, Dryad, Dataverse)
• Contact all researchers who have submitted a data set for review
• Contact all researchers who have created a Data Management
Plan using the Library’s DMPTool
• Identify data-intensive researchers from the Library Roadshows
• Recommendations from the Data Executive Team
6
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
• “A centralized storage solution would be great. Wouldn’t have to keep all
my files on an office computer.”
• “It would be great if the Lab had a centralized repository where I could
collaborate, store, and share my data both internally and externally.
Something like Dropbox would even be helpful.”
• “Much of this data is hosted on old websites that we maintain (scripted in
Perl; accessible through FTP). In other words, old crusty crap.”
• “When my post-doc is gone, I don’t know where their stuff is.”
• “I know this experiment has been run before, but I can’t find the data, so
I’m running it again.”
• “There are many files named “data” on my group’s share drive.”
“Highlights” from Data Management Surveys, Working Groups
7
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
• Need for infrastructure to support internal and external
research collaboration
• Providing data storage and data sharing
• Integration with frequently utilized research tools/flows
• Support documentation and preservation
• Compliant with LANL policies re data management,
review and release, security
Results from Data Management Surveys, Working Groups
8
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
• Reality: LANL policies prevent the use of off-the-shelf, cloud-
based “open science” platforms that many other research
institutions use.
• Ergo:
• Investigate the feasibility of a local solution
• Goal: Provide internal collaboration platform as a path
toward structured data management
• Nucleus Project
• Pilot effort by the Research Library
• Since January 2017; 1 FTE hired; 4 PT contributors
• Based on a local install of the Open Science Framework
software
Taking Action at LANL
9
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
• Optimize a researcher’s use of time by:
• Making it easier to accomplish collaborative goals
• Reducing number of steps to achieve goals
• Reducing potential for errors when accomplishing goals
• Improving project management, communication
• By deploying a platform that:
• Streamlines workflows
• Provides glue between systems/tools
• Provides an overview of assets involved in research
collaboration
Some Anticipated Benefits for Researchers
10
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
Submit Dataset to RASSTI - Before
1.
11
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
Submit Dataset to RASSTI - Before
1. 2.
12
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
Submit Dataset to RASSTI - Before
1. 2.
13
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
Submit Dataset to RASSTI - Before
1. 2.
3.
14
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
Submit Dataset to RASSTI - Before
1. 2.
3.
15
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
Submit Dataset to RASSTI - Before
1. 2.
3.
4.
16
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
Submit Dataset to RASSTI - Before
1. 2.
3.
5.
4.
17
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
• Making it easier to accomplish collaborative goals
• Overview of assets involved in research (collaboration)
• Tracking of idea  funding  data  publication  patent
• “Single” point of (data) preservation
• Synergies with internal and external funding requirements
• Provide a seamless method for compliance with LANL review
and release and security policies
Some Anticipated Benefits for LANL
18
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
• Open Source Software, developed and maintained by the
Center for Open Science
• Default use is in the cloud-based portal osf.io that
supports multi-organizational open science and
collaborative scholarship
• Provides glue for many aspects of the research workflow
• Offers integrations with many existing productivity tools
Open Science Framework
19
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
Data
Storage
Data
Storage
Data
Storage
Data
Storage
STORAGE
TOOLS R MatLab Echo Granta TeXmaker................................
CODES RASSTI RASSTI
store
CODES
store
REVIEW
RELEASE
OUTSIDE
LANL
DOE
GitLab
DOE
OSTI
experiment simulation documentation
arXivGitHub ..........................
firewall
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
Data
Storage
Data
Storage
Data
Storage
Data
Storage
STORAGE
TOOLS R MatLab Echo Granta TeXmaker................................
CODES RASSTI
LANL
authenticate
LANL
GitLab
RASSTI
store
CODES
store
REVIEW
RELEASE
OUTSIDE
LANL
DOE
GitLab
DOE
OSTI
experiment simulation documentation
arXivGitHub ..........................
firewall
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
S3
storage
connect
Google
Drive
connect
Data
Storage
Data
Storage
Data
Storage
Data
Storage
Project
Metadata
&
Access
Control
CODES
connect
RASSTI
connect
LANL
auth
connect
GitLab
connect
STORAGE
TOOLS R MatLab Echo Granta TeXmaker................................
CODES RASSTI
LANL
authenticate
LANL
GitLab
NUCLEUS
OSF
project
collaboration
RASSTI
store
CODES
store
REVIEW
RELEASE
OUTSIDE
LANL
DOE
GitLab
DOE
OSTI
experiment simulation documentation
arXivGitHub ..........................
firewall
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
Google
Drive
connect
Data
Storage
Data
Storage
Data
Storage
Data
Storage
Project
Metadata
&
Access
Control
CODES
connect
RASSTI
connect
LANL
auth
connect
GitLab
connect
STORAGE
TOOLS R MatLab Echo Granta TeXmaker................................
CODES RASSTI
LANL
authenticate
LANL
GitLab
NUCLEUS
OSF
project
collaboration
RASSTI
store
CODES
store
REVIEW
RELEASE
OUTSIDE
LANL
DOE
GitLab
DOE
OSTI
experiment simulation documentation
arXivGitHub ..........................
firewall
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
24
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
25
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
26
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
Submit Dataset to RASSTI - After
1. 2.
27
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
28
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
• (Technical) Challenges
• Ownership of the software environment
• Storage at institution, division, group level?
• Contamination, who is responsible for clean-up?
• Cybersecurity review
Challenges & Questions
• Questions
• Is this useful to researchers? Under what conditions?
• What other local/homegrown systems should be integrated?
• What does success look like?
• Active users?
• Structured data management?
29
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
• Pilot Nucleus--Summer 2018
• Invited “friends and family” at LANL
• Identifying bugs and eliciting feedback before expanding pilot
• Generally positive response, some skepticism for yet another
tool
Outreach & Feedback
• Data Management Workshop--August 2018
• ~50 attendees introduced to Nucleus and “Data Management 101”
• Positive response, but constrained by “Pilot” status
• Some concerns about competition between collaboration tools
30
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
Nucleus — Fall/Winter 2018
• Utilizing feedback to seek institutional support, ownership (i.e.
funding and project resources)
• Possible integration with institutional Google Suite, impact on
adoption and sustainability?
• New laboratory management (since November 1, 2018)
• Developing relationships with new partners and hierarchy
Current Status
31
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
Lessons Learned
• Limitation of a pilot to assess utility
• Contradictions between survey results and a few pilot responses
• LANL collaborations tools are terrible, we need something new!

LANL collaboration tools are amazing, why would you want to
compete with them?!
• What might be going on here? Grass is greener? Novelty?
Endowment effect?
• Need to have a strong use case and value-added proposition prepared
for end-users, they do not always see the apparent utility
32
1st Steps in RDM at LANL
@mart1nkle1n & @briancain101
CNI Fall Meeting 2018, 12/10/2018, Washington, DC
First Steps in
Research Data Management
Under Constraints of a
National Security Laboratory
Martin Klein
0000-0003-0130-2097
@mart1nkle1n
Brian Cain
0000-0001-7356-5860
@briancain101
Research Library
Los Alamos National Laboratory

Weitere ähnliche Inhalte

Was ist angesagt?

Desired Outcomes for Libraries+ Network May Meeting
Desired Outcomes for Libraries+ Network May MeetingDesired Outcomes for Libraries+ Network May Meeting
Desired Outcomes for Libraries+ Network May MeetingKimberly Eke
 
Promises and Pitfalls: Linked Data, Privacy, and Library Catalogs
Promises and Pitfalls: Linked Data, Privacy, and Library CatalogsPromises and Pitfalls: Linked Data, Privacy, and Library Catalogs
Promises and Pitfalls: Linked Data, Privacy, and Library CatalogsEmily Nimsakont
 
Life after MARC: Cataloging Tools of the Future
Life after MARC: Cataloging Tools of the FutureLife after MARC: Cataloging Tools of the Future
Life after MARC: Cataloging Tools of the FutureEmily Nimsakont
 
Registration / Certification Interoperability Architecture (overlay peer-review)
Registration / Certification Interoperability Architecture (overlay peer-review)Registration / Certification Interoperability Architecture (overlay peer-review)
Registration / Certification Interoperability Architecture (overlay peer-review)Herbert Van de Sompel
 
The Semantic Web – A Vision Come True, or Giving Up the Great Plan?
The Semantic Web – A Vision Come True, or Giving Up the Great Plan?The Semantic Web – A Vision Come True, or Giving Up the Great Plan?
The Semantic Web – A Vision Come True, or Giving Up the Great Plan?Martin Hepp
 
DBpedia Tutorial - Feb 2015, Dublin
DBpedia Tutorial - Feb 2015, DublinDBpedia Tutorial - Feb 2015, Dublin
DBpedia Tutorial - Feb 2015, Dublinm_ackermann
 
DBpedia/association Introduction The Hague 12.2.2016
DBpedia/association Introduction The Hague 12.2.2016DBpedia/association Introduction The Hague 12.2.2016
DBpedia/association Introduction The Hague 12.2.2016Sebastian Hellmann
 
Linked Data for Law Libraries: An Introduction
Linked Data for Law Libraries: An IntroductionLinked Data for Law Libraries: An Introduction
Linked Data for Law Libraries: An IntroductionEmily Nimsakont
 
Presenting Your Digital Research
Presenting Your Digital ResearchPresenting Your Digital Research
Presenting Your Digital ResearchShawn Day
 
Open Learning Analytics LSAC2018
Open Learning Analytics LSAC2018Open Learning Analytics LSAC2018
Open Learning Analytics LSAC2018Ian Dolphin
 
Linked Data and Libraries: What? Why? How?
Linked Data and Libraries: What? Why? How?Linked Data and Libraries: What? Why? How?
Linked Data and Libraries: What? Why? How?Emily Nimsakont
 
What is Linked Data, and What Does It Mean for Libraries?
What is Linked Data, and What Does It Mean for Libraries?What is Linked Data, and What Does It Mean for Libraries?
What is Linked Data, and What Does It Mean for Libraries?Emily Nimsakont
 
Life after MARC: Experimenting with Cataloging Tools of the Future
Life after MARC: Experimenting with Cataloging Tools of the FutureLife after MARC: Experimenting with Cataloging Tools of the Future
Life after MARC: Experimenting with Cataloging Tools of the FutureEmily Nimsakont
 
Discovery elsewhere
Discovery elsewhereDiscovery elsewhere
Discovery elsewhereJenn Riley
 
Impact of URI Canonicalization on Memento Count
Impact of URI Canonicalization on Memento Count Impact of URI Canonicalization on Memento Count
Impact of URI Canonicalization on Memento Count Mat Kelly
 
To the Rescue of the Orphans of Scholarly Communication
To the Rescue of the Orphans of Scholarly CommunicationTo the Rescue of the Orphans of Scholarly Communication
To the Rescue of the Orphans of Scholarly CommunicationMartin Klein
 
Persistent Identification: Easier Said than Done
Persistent Identification: Easier Said than DonePersistent Identification: Easier Said than Done
Persistent Identification: Easier Said than DoneHerbert Van de Sompel
 
Linked Open Data for Archives
Linked Open Data for ArchivesLinked Open Data for Archives
Linked Open Data for ArchivesCliff Landis
 
20180226 data driven smart governance
20180226 data driven smart governance20180226 data driven smart governance
20180226 data driven smart governanceDongpo Deng
 

Was ist angesagt? (20)

Desired Outcomes for Libraries+ Network May Meeting
Desired Outcomes for Libraries+ Network May MeetingDesired Outcomes for Libraries+ Network May Meeting
Desired Outcomes for Libraries+ Network May Meeting
 
Promises and Pitfalls: Linked Data, Privacy, and Library Catalogs
Promises and Pitfalls: Linked Data, Privacy, and Library CatalogsPromises and Pitfalls: Linked Data, Privacy, and Library Catalogs
Promises and Pitfalls: Linked Data, Privacy, and Library Catalogs
 
Life after MARC: Cataloging Tools of the Future
Life after MARC: Cataloging Tools of the FutureLife after MARC: Cataloging Tools of the Future
Life after MARC: Cataloging Tools of the Future
 
Registration / Certification Interoperability Architecture (overlay peer-review)
Registration / Certification Interoperability Architecture (overlay peer-review)Registration / Certification Interoperability Architecture (overlay peer-review)
Registration / Certification Interoperability Architecture (overlay peer-review)
 
The Semantic Web – A Vision Come True, or Giving Up the Great Plan?
The Semantic Web – A Vision Come True, or Giving Up the Great Plan?The Semantic Web – A Vision Come True, or Giving Up the Great Plan?
The Semantic Web – A Vision Come True, or Giving Up the Great Plan?
 
DBpedia Tutorial - Feb 2015, Dublin
DBpedia Tutorial - Feb 2015, DublinDBpedia Tutorial - Feb 2015, Dublin
DBpedia Tutorial - Feb 2015, Dublin
 
DBpedia/association Introduction The Hague 12.2.2016
DBpedia/association Introduction The Hague 12.2.2016DBpedia/association Introduction The Hague 12.2.2016
DBpedia/association Introduction The Hague 12.2.2016
 
Linked Data for Law Libraries: An Introduction
Linked Data for Law Libraries: An IntroductionLinked Data for Law Libraries: An Introduction
Linked Data for Law Libraries: An Introduction
 
Presenting Your Digital Research
Presenting Your Digital ResearchPresenting Your Digital Research
Presenting Your Digital Research
 
Open Learning Analytics LSAC2018
Open Learning Analytics LSAC2018Open Learning Analytics LSAC2018
Open Learning Analytics LSAC2018
 
Linked Data and Libraries: What? Why? How?
Linked Data and Libraries: What? Why? How?Linked Data and Libraries: What? Why? How?
Linked Data and Libraries: What? Why? How?
 
What is Linked Data, and What Does It Mean for Libraries?
What is Linked Data, and What Does It Mean for Libraries?What is Linked Data, and What Does It Mean for Libraries?
What is Linked Data, and What Does It Mean for Libraries?
 
Life after MARC: Experimenting with Cataloging Tools of the Future
Life after MARC: Experimenting with Cataloging Tools of the FutureLife after MARC: Experimenting with Cataloging Tools of the Future
Life after MARC: Experimenting with Cataloging Tools of the Future
 
Discovery elsewhere
Discovery elsewhereDiscovery elsewhere
Discovery elsewhere
 
Open Data and Mind Mapping
Open Data and Mind MappingOpen Data and Mind Mapping
Open Data and Mind Mapping
 
Impact of URI Canonicalization on Memento Count
Impact of URI Canonicalization on Memento Count Impact of URI Canonicalization on Memento Count
Impact of URI Canonicalization on Memento Count
 
To the Rescue of the Orphans of Scholarly Communication
To the Rescue of the Orphans of Scholarly CommunicationTo the Rescue of the Orphans of Scholarly Communication
To the Rescue of the Orphans of Scholarly Communication
 
Persistent Identification: Easier Said than Done
Persistent Identification: Easier Said than DonePersistent Identification: Easier Said than Done
Persistent Identification: Easier Said than Done
 
Linked Open Data for Archives
Linked Open Data for ArchivesLinked Open Data for Archives
Linked Open Data for Archives
 
20180226 data driven smart governance
20180226 data driven smart governance20180226 data driven smart governance
20180226 data driven smart governance
 

Ähnlich wie First Steps in Research Data Management Under Constraints of a National Security Laboratory

2013 DataCite Summer Meeting - DOIs and Supercomputing (Terry Jones - Oak Rid...
2013 DataCite Summer Meeting - DOIs and Supercomputing (Terry Jones - Oak Rid...2013 DataCite Summer Meeting - DOIs and Supercomputing (Terry Jones - Oak Rid...
2013 DataCite Summer Meeting - DOIs and Supercomputing (Terry Jones - Oak Rid...datacite
 
Big Data and its Role in Biomedical Research
Big Data and its Role in Biomedical ResearchBig Data and its Role in Biomedical Research
Big Data and its Role in Biomedical ResearchPhilip Bourne
 
Bigdatacooltools
BigdatacooltoolsBigdatacooltools
Bigdatacooltoolssuresh sood
 
Research Data Alliance Member Statistics October 2015
Research Data Alliance Member Statistics October 2015Research Data Alliance Member Statistics October 2015
Research Data Alliance Member Statistics October 2015Research Data Alliance
 
Research Data Alliance Member Statistics August 2015
Research Data Alliance Member Statistics August 2015Research Data Alliance Member Statistics August 2015
Research Data Alliance Member Statistics August 2015Research Data Alliance
 
ElN - repository integration at the University of Goettingen
ElN - repository integration at the University of GoettingenElN - repository integration at the University of Goettingen
ElN - repository integration at the University of Goettingenrmacneil88
 
Research Data Alliance Member Statistics September 2015
Research Data Alliance Member Statistics September 2015Research Data Alliance Member Statistics September 2015
Research Data Alliance Member Statistics September 2015Research Data Alliance
 
EGU 2018 Ian McHarg Lecture
EGU 2018 Ian McHarg LectureEGU 2018 Ian McHarg Lecture
EGU 2018 Ian McHarg LectureKerstin Lehnert
 
Research Data Alliance Member Statistics July 2015
Research Data Alliance Member Statistics July 2015Research Data Alliance Member Statistics July 2015
Research Data Alliance Member Statistics July 2015Research Data Alliance
 
Research Data Alliance Member Statistics June 2015
Research Data Alliance Member Statistics June 2015Research Data Alliance Member Statistics June 2015
Research Data Alliance Member Statistics June 2015Research Data Alliance
 
Do It Yourself (DIY) Earth Science Collaboratories Using Best Practices and B...
Do It Yourself (DIY) Earth Science Collaboratories Using Best Practices and B...Do It Yourself (DIY) Earth Science Collaboratories Using Best Practices and B...
Do It Yourself (DIY) Earth Science Collaboratories Using Best Practices and B...Eric Stephan
 
Branding the Stewardship of Big Data
Branding the Stewardship of Big DataBranding the Stewardship of Big Data
Branding the Stewardship of Big DataBill LeFurgy
 
How to Use Data for Good
How to Use Data for Good How to Use Data for Good
How to Use Data for Good Experian_US
 
Big Data Management: What's New, What's Different, and What You Need To Know
Big Data Management: What's New, What's Different, and What You Need To KnowBig Data Management: What's New, What's Different, and What You Need To Know
Big Data Management: What's New, What's Different, and What You Need To KnowSnapLogic
 
20160414 23 Research Data Things
20160414 23 Research Data Things20160414 23 Research Data Things
20160414 23 Research Data ThingsKatina Toufexis
 
Managing and Sharing Research Data
Managing and Sharing Research DataManaging and Sharing Research Data
Managing and Sharing Research DataMartin Donnelly
 
Data Science Popup Austin: Back to The Future for Data and Analytics
Data Science Popup Austin: Back to The Future for Data and AnalyticsData Science Popup Austin: Back to The Future for Data and Analytics
Data Science Popup Austin: Back to The Future for Data and AnalyticsDomino Data Lab
 
Making Data Dynamic: Views from UC3, CDL
Making Data Dynamic: Views from UC3, CDLMaking Data Dynamic: Views from UC3, CDL
Making Data Dynamic: Views from UC3, CDLCarly Strasser
 
Ready, Set, Go! Join the Top 10 FAIR Data Things Global Sprint
Ready, Set, Go! Join the Top 10 FAIR Data Things Global SprintReady, Set, Go! Join the Top 10 FAIR Data Things Global Sprint
Ready, Set, Go! Join the Top 10 FAIR Data Things Global SprintARDC
 

Ähnlich wie First Steps in Research Data Management Under Constraints of a National Security Laboratory (20)

2013 DataCite Summer Meeting - DOIs and Supercomputing (Terry Jones - Oak Rid...
2013 DataCite Summer Meeting - DOIs and Supercomputing (Terry Jones - Oak Rid...2013 DataCite Summer Meeting - DOIs and Supercomputing (Terry Jones - Oak Rid...
2013 DataCite Summer Meeting - DOIs and Supercomputing (Terry Jones - Oak Rid...
 
Big Data and its Role in Biomedical Research
Big Data and its Role in Biomedical ResearchBig Data and its Role in Biomedical Research
Big Data and its Role in Biomedical Research
 
Bigdatacooltools
BigdatacooltoolsBigdatacooltools
Bigdatacooltools
 
Research Data Alliance Member Statistics October 2015
Research Data Alliance Member Statistics October 2015Research Data Alliance Member Statistics October 2015
Research Data Alliance Member Statistics October 2015
 
Research Data Alliance Member Statistics August 2015
Research Data Alliance Member Statistics August 2015Research Data Alliance Member Statistics August 2015
Research Data Alliance Member Statistics August 2015
 
ElN - repository integration at the University of Goettingen
ElN - repository integration at the University of GoettingenElN - repository integration at the University of Goettingen
ElN - repository integration at the University of Goettingen
 
Research Data Alliance Member Statistics September 2015
Research Data Alliance Member Statistics September 2015Research Data Alliance Member Statistics September 2015
Research Data Alliance Member Statistics September 2015
 
EGU 2018 Ian McHarg Lecture
EGU 2018 Ian McHarg LectureEGU 2018 Ian McHarg Lecture
EGU 2018 Ian McHarg Lecture
 
Rdaeu russia_fg_1_july2014_final
Rdaeu  russia_fg_1_july2014_finalRdaeu  russia_fg_1_july2014_final
Rdaeu russia_fg_1_july2014_final
 
Research Data Alliance Member Statistics July 2015
Research Data Alliance Member Statistics July 2015Research Data Alliance Member Statistics July 2015
Research Data Alliance Member Statistics July 2015
 
Research Data Alliance Member Statistics June 2015
Research Data Alliance Member Statistics June 2015Research Data Alliance Member Statistics June 2015
Research Data Alliance Member Statistics June 2015
 
Do It Yourself (DIY) Earth Science Collaboratories Using Best Practices and B...
Do It Yourself (DIY) Earth Science Collaboratories Using Best Practices and B...Do It Yourself (DIY) Earth Science Collaboratories Using Best Practices and B...
Do It Yourself (DIY) Earth Science Collaboratories Using Best Practices and B...
 
Branding the Stewardship of Big Data
Branding the Stewardship of Big DataBranding the Stewardship of Big Data
Branding the Stewardship of Big Data
 
How to Use Data for Good
How to Use Data for Good How to Use Data for Good
How to Use Data for Good
 
Big Data Management: What's New, What's Different, and What You Need To Know
Big Data Management: What's New, What's Different, and What You Need To KnowBig Data Management: What's New, What's Different, and What You Need To Know
Big Data Management: What's New, What's Different, and What You Need To Know
 
20160414 23 Research Data Things
20160414 23 Research Data Things20160414 23 Research Data Things
20160414 23 Research Data Things
 
Managing and Sharing Research Data
Managing and Sharing Research DataManaging and Sharing Research Data
Managing and Sharing Research Data
 
Data Science Popup Austin: Back to The Future for Data and Analytics
Data Science Popup Austin: Back to The Future for Data and AnalyticsData Science Popup Austin: Back to The Future for Data and Analytics
Data Science Popup Austin: Back to The Future for Data and Analytics
 
Making Data Dynamic: Views from UC3, CDL
Making Data Dynamic: Views from UC3, CDLMaking Data Dynamic: Views from UC3, CDL
Making Data Dynamic: Views from UC3, CDL
 
Ready, Set, Go! Join the Top 10 FAIR Data Things Global Sprint
Ready, Set, Go! Join the Top 10 FAIR Data Things Global SprintReady, Set, Go! Join the Top 10 FAIR Data Things Global Sprint
Ready, Set, Go! Join the Top 10 FAIR Data Things Global Sprint
 

Mehr von Martin Klein

On the Persistence of Persistent Identifiers of the Scholarly Web
On the Persistence of Persistent Identifiers of the Scholarly WebOn the Persistence of Persistent Identifiers of the Scholarly Web
On the Persistence of Persistent Identifiers of the Scholarly WebMartin Klein
 
On the Persistence of Persistent Identifiers of the Scholarly Web
 On the Persistence of Persistent Identifiers of the Scholarly Web On the Persistence of Persistent Identifiers of the Scholarly Web
On the Persistence of Persistent Identifiers of the Scholarly WebMartin Klein
 
An Institutional Perspective to Rescue Scholarly Orphans
An Institutional Perspective to Rescue Scholarly OrphansAn Institutional Perspective to Rescue Scholarly Orphans
An Institutional Perspective to Rescue Scholarly OrphansMartin Klein
 
Who is Asking - Humans and Machines Experience a Different Scholarly Web
Who is Asking - Humans and Machines  Experience a Different Scholarly WebWho is Asking - Humans and Machines  Experience a Different Scholarly Web
Who is Asking - Humans and Machines Experience a Different Scholarly WebMartin Klein
 
The Memento Tracer Framework: Balancing Quality and Scalability for Web Arch...
The Memento Tracer Framework: Balancing Quality and Scalability  for Web Arch...The Memento Tracer Framework: Balancing Quality and Scalability  for Web Arch...
The Memento Tracer Framework: Balancing Quality and Scalability for Web Arch...Martin Klein
 
Memento Tracer An Innovative Approach Towards Balancing Scale and Fidelity f...
Memento Tracer An Innovative Approach Towards Balancing  Scale and Fidelity f...Memento Tracer An Innovative Approach Towards Balancing  Scale and Fidelity f...
Memento Tracer An Innovative Approach Towards Balancing Scale and Fidelity f...Martin Klein
 
Comparing the Performance of OAI-PMH with ResourceSync
Comparing the Performance of OAI-PMH with ResourceSyncComparing the Performance of OAI-PMH with ResourceSync
Comparing the Performance of OAI-PMH with ResourceSyncMartin Klein
 
Evaluating Memento Service Optimizations
Evaluating Memento Service OptimizationsEvaluating Memento Service Optimizations
Evaluating Memento Service OptimizationsMartin Klein
 
An Institutional Perspective to Rescue Scholarly Orphans
An Institutional Perspective to Rescue Scholarly OrphansAn Institutional Perspective to Rescue Scholarly Orphans
An Institutional Perspective to Rescue Scholarly OrphansMartin Klein
 
A Vision of the Library’s Role in Archiving Scholarly Artifacts
A Vision of the Library’s Role  in Archiving Scholarly ArtifactsA Vision of the Library’s Role  in Archiving Scholarly Artifacts
A Vision of the Library’s Role in Archiving Scholarly ArtifactsMartin Klein
 
Smart Routing of Memento Requests
Smart Routing of Memento RequestsSmart Routing of Memento Requests
Smart Routing of Memento RequestsMartin Klein
 
Building Event Collections from Crawling Web Archives
Building Event Collections from Crawling Web ArchivesBuilding Event Collections from Crawling Web Archives
Building Event Collections from Crawling Web ArchivesMartin Klein
 
A Web-Centric Pipeline for Archiving Scholarly Artifacts
A Web-Centric Pipeline for Archiving Scholarly ArtifactsA Web-Centric Pipeline for Archiving Scholarly Artifacts
A Web-Centric Pipeline for Archiving Scholarly ArtifactsMartin Klein
 
Focused Crawl of Web Archives to Build Event Collections
Focused Crawl of Web Archives to Build Event CollectionsFocused Crawl of Web Archives to Build Event Collections
Focused Crawl of Web Archives to Build Event CollectionsMartin Klein
 
Creating Topical Collections: Web Archives vs. Live Web
Creating Topical Collections:Web Archives vs. Live WebCreating Topical Collections:Web Archives vs. Live Web
Creating Topical Collections: Web Archives vs. Live WebMartin Klein
 
Robust Linking to Web Resources
Robust Linking to Web ResourcesRobust Linking to Web Resources
Robust Linking to Web ResourcesMartin Klein
 
Signposting for Repositories
Signposting for RepositoriesSignposting for Repositories
Signposting for RepositoriesMartin Klein
 
Discovering Scholarly Orphans Using ORCID
Discovering Scholarly Orphans Using ORCIDDiscovering Scholarly Orphans Using ORCID
Discovering Scholarly Orphans Using ORCIDMartin Klein
 
Using the Memento Framework to Assess Content Drift in Scholarly Communication
Using the Memento Framework to Assess Content Drift in Scholarly CommunicationUsing the Memento Framework to Assess Content Drift in Scholarly Communication
Using the Memento Framework to Assess Content Drift in Scholarly CommunicationMartin Klein
 
Uniform Access to Raw Mementos
Uniform Access to Raw MementosUniform Access to Raw Mementos
Uniform Access to Raw MementosMartin Klein
 

Mehr von Martin Klein (20)

On the Persistence of Persistent Identifiers of the Scholarly Web
On the Persistence of Persistent Identifiers of the Scholarly WebOn the Persistence of Persistent Identifiers of the Scholarly Web
On the Persistence of Persistent Identifiers of the Scholarly Web
 
On the Persistence of Persistent Identifiers of the Scholarly Web
 On the Persistence of Persistent Identifiers of the Scholarly Web On the Persistence of Persistent Identifiers of the Scholarly Web
On the Persistence of Persistent Identifiers of the Scholarly Web
 
An Institutional Perspective to Rescue Scholarly Orphans
An Institutional Perspective to Rescue Scholarly OrphansAn Institutional Perspective to Rescue Scholarly Orphans
An Institutional Perspective to Rescue Scholarly Orphans
 
Who is Asking - Humans and Machines Experience a Different Scholarly Web
Who is Asking - Humans and Machines  Experience a Different Scholarly WebWho is Asking - Humans and Machines  Experience a Different Scholarly Web
Who is Asking - Humans and Machines Experience a Different Scholarly Web
 
The Memento Tracer Framework: Balancing Quality and Scalability for Web Arch...
The Memento Tracer Framework: Balancing Quality and Scalability  for Web Arch...The Memento Tracer Framework: Balancing Quality and Scalability  for Web Arch...
The Memento Tracer Framework: Balancing Quality and Scalability for Web Arch...
 
Memento Tracer An Innovative Approach Towards Balancing Scale and Fidelity f...
Memento Tracer An Innovative Approach Towards Balancing  Scale and Fidelity f...Memento Tracer An Innovative Approach Towards Balancing  Scale and Fidelity f...
Memento Tracer An Innovative Approach Towards Balancing Scale and Fidelity f...
 
Comparing the Performance of OAI-PMH with ResourceSync
Comparing the Performance of OAI-PMH with ResourceSyncComparing the Performance of OAI-PMH with ResourceSync
Comparing the Performance of OAI-PMH with ResourceSync
 
Evaluating Memento Service Optimizations
Evaluating Memento Service OptimizationsEvaluating Memento Service Optimizations
Evaluating Memento Service Optimizations
 
An Institutional Perspective to Rescue Scholarly Orphans
An Institutional Perspective to Rescue Scholarly OrphansAn Institutional Perspective to Rescue Scholarly Orphans
An Institutional Perspective to Rescue Scholarly Orphans
 
A Vision of the Library’s Role in Archiving Scholarly Artifacts
A Vision of the Library’s Role  in Archiving Scholarly ArtifactsA Vision of the Library’s Role  in Archiving Scholarly Artifacts
A Vision of the Library’s Role in Archiving Scholarly Artifacts
 
Smart Routing of Memento Requests
Smart Routing of Memento RequestsSmart Routing of Memento Requests
Smart Routing of Memento Requests
 
Building Event Collections from Crawling Web Archives
Building Event Collections from Crawling Web ArchivesBuilding Event Collections from Crawling Web Archives
Building Event Collections from Crawling Web Archives
 
A Web-Centric Pipeline for Archiving Scholarly Artifacts
A Web-Centric Pipeline for Archiving Scholarly ArtifactsA Web-Centric Pipeline for Archiving Scholarly Artifacts
A Web-Centric Pipeline for Archiving Scholarly Artifacts
 
Focused Crawl of Web Archives to Build Event Collections
Focused Crawl of Web Archives to Build Event CollectionsFocused Crawl of Web Archives to Build Event Collections
Focused Crawl of Web Archives to Build Event Collections
 
Creating Topical Collections: Web Archives vs. Live Web
Creating Topical Collections:Web Archives vs. Live WebCreating Topical Collections:Web Archives vs. Live Web
Creating Topical Collections: Web Archives vs. Live Web
 
Robust Linking to Web Resources
Robust Linking to Web ResourcesRobust Linking to Web Resources
Robust Linking to Web Resources
 
Signposting for Repositories
Signposting for RepositoriesSignposting for Repositories
Signposting for Repositories
 
Discovering Scholarly Orphans Using ORCID
Discovering Scholarly Orphans Using ORCIDDiscovering Scholarly Orphans Using ORCID
Discovering Scholarly Orphans Using ORCID
 
Using the Memento Framework to Assess Content Drift in Scholarly Communication
Using the Memento Framework to Assess Content Drift in Scholarly CommunicationUsing the Memento Framework to Assess Content Drift in Scholarly Communication
Using the Memento Framework to Assess Content Drift in Scholarly Communication
 
Uniform Access to Raw Mementos
Uniform Access to Raw MementosUniform Access to Raw Mementos
Uniform Access to Raw Mementos
 

Kürzlich hochgeladen

'Future Evolution of the Internet' delivered by Geoff Huston at Everything Op...
'Future Evolution of the Internet' delivered by Geoff Huston at Everything Op...'Future Evolution of the Internet' delivered by Geoff Huston at Everything Op...
'Future Evolution of the Internet' delivered by Geoff Huston at Everything Op...APNIC
 
GDG Cloud Southlake 32: Kyle Hettinger: Demystifying the Dark Web
GDG Cloud Southlake 32: Kyle Hettinger: Demystifying the Dark WebGDG Cloud Southlake 32: Kyle Hettinger: Demystifying the Dark Web
GDG Cloud Southlake 32: Kyle Hettinger: Demystifying the Dark WebJames Anderson
 
Best VIP Call Girls Noida Sector 75 Call Me: 8448380779
Best VIP Call Girls Noida Sector 75 Call Me: 8448380779Best VIP Call Girls Noida Sector 75 Call Me: 8448380779
Best VIP Call Girls Noida Sector 75 Call Me: 8448380779Delhi Call girls
 
Top Rated Pune Call Girls Daund ⟟ 6297143586 ⟟ Call Me For Genuine Sex Servi...
Top Rated  Pune Call Girls Daund ⟟ 6297143586 ⟟ Call Me For Genuine Sex Servi...Top Rated  Pune Call Girls Daund ⟟ 6297143586 ⟟ Call Me For Genuine Sex Servi...
Top Rated Pune Call Girls Daund ⟟ 6297143586 ⟟ Call Me For Genuine Sex Servi...Call Girls in Nagpur High Profile
 
Call Girls In Ashram Chowk Delhi 💯Call Us 🔝8264348440🔝
Call Girls In Ashram Chowk Delhi 💯Call Us 🔝8264348440🔝Call Girls In Ashram Chowk Delhi 💯Call Us 🔝8264348440🔝
Call Girls In Ashram Chowk Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Call Girls In Pratap Nagar Delhi 💯Call Us 🔝8264348440🔝
Call Girls In Pratap Nagar Delhi 💯Call Us 🔝8264348440🔝Call Girls In Pratap Nagar Delhi 💯Call Us 🔝8264348440🔝
Call Girls In Pratap Nagar Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Russian Call girl in Ajman +971563133746 Ajman Call girl Service
Russian Call girl in Ajman +971563133746 Ajman Call girl ServiceRussian Call girl in Ajman +971563133746 Ajman Call girl Service
Russian Call girl in Ajman +971563133746 Ajman Call girl Servicegwenoracqe6
 
Call Now ☎ 8264348440 !! Call Girls in Shahpur Jat Escort Service Delhi N.C.R.
Call Now ☎ 8264348440 !! Call Girls in Shahpur Jat Escort Service Delhi N.C.R.Call Now ☎ 8264348440 !! Call Girls in Shahpur Jat Escort Service Delhi N.C.R.
Call Now ☎ 8264348440 !! Call Girls in Shahpur Jat Escort Service Delhi N.C.R.soniya singh
 
Moving Beyond Twitter/X and Facebook - Social Media for local news providers
Moving Beyond Twitter/X and Facebook - Social Media for local news providersMoving Beyond Twitter/X and Facebook - Social Media for local news providers
Moving Beyond Twitter/X and Facebook - Social Media for local news providersDamian Radcliffe
 
Pune Airport ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready...
Pune Airport ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready...Pune Airport ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready...
Pune Airport ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready...tanu pandey
 
INDIVIDUAL ASSIGNMENT #3 CBG, PRESENTATION.
INDIVIDUAL ASSIGNMENT #3 CBG, PRESENTATION.INDIVIDUAL ASSIGNMENT #3 CBG, PRESENTATION.
INDIVIDUAL ASSIGNMENT #3 CBG, PRESENTATION.CarlotaBedoya1
 
On Starlink, presented by Geoff Huston at NZNOG 2024
On Starlink, presented by Geoff Huston at NZNOG 2024On Starlink, presented by Geoff Huston at NZNOG 2024
On Starlink, presented by Geoff Huston at NZNOG 2024APNIC
 
(+971568250507 ))# Young Call Girls in Ajman By Pakistani Call Girls in ...
(+971568250507  ))#  Young Call Girls  in Ajman  By Pakistani Call Girls  in ...(+971568250507  ))#  Young Call Girls  in Ajman  By Pakistani Call Girls  in ...
(+971568250507 ))# Young Call Girls in Ajman By Pakistani Call Girls in ...Escorts Call Girls
 
Hot Call Girls |Delhi |Hauz Khas ☎ 9711199171 Book Your One night Stand
Hot Call Girls |Delhi |Hauz Khas ☎ 9711199171 Book Your One night StandHot Call Girls |Delhi |Hauz Khas ☎ 9711199171 Book Your One night Stand
Hot Call Girls |Delhi |Hauz Khas ☎ 9711199171 Book Your One night Standkumarajju5765
 
Call Girls In Model Towh Delhi 💯Call Us 🔝8264348440🔝
Call Girls In Model Towh Delhi 💯Call Us 🔝8264348440🔝Call Girls In Model Towh Delhi 💯Call Us 🔝8264348440🔝
Call Girls In Model Towh Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
✂️ 👅 Independent Andheri Escorts With Room Vashi Call Girls 💃 9004004663
✂️ 👅 Independent Andheri Escorts With Room Vashi Call Girls 💃 9004004663✂️ 👅 Independent Andheri Escorts With Room Vashi Call Girls 💃 9004004663
✂️ 👅 Independent Andheri Escorts With Room Vashi Call Girls 💃 9004004663Call Girls Mumbai
 

Kürzlich hochgeladen (20)

@9999965857 🫦 Sexy Desi Call Girls Laxmi Nagar 💓 High Profile Escorts Delhi 🫶
@9999965857 🫦 Sexy Desi Call Girls Laxmi Nagar 💓 High Profile Escorts Delhi 🫶@9999965857 🫦 Sexy Desi Call Girls Laxmi Nagar 💓 High Profile Escorts Delhi 🫶
@9999965857 🫦 Sexy Desi Call Girls Laxmi Nagar 💓 High Profile Escorts Delhi 🫶
 
Dwarka Sector 26 Call Girls | Delhi | 9999965857 🫦 Vanshika Verma More Our Se...
Dwarka Sector 26 Call Girls | Delhi | 9999965857 🫦 Vanshika Verma More Our Se...Dwarka Sector 26 Call Girls | Delhi | 9999965857 🫦 Vanshika Verma More Our Se...
Dwarka Sector 26 Call Girls | Delhi | 9999965857 🫦 Vanshika Verma More Our Se...
 
'Future Evolution of the Internet' delivered by Geoff Huston at Everything Op...
'Future Evolution of the Internet' delivered by Geoff Huston at Everything Op...'Future Evolution of the Internet' delivered by Geoff Huston at Everything Op...
'Future Evolution of the Internet' delivered by Geoff Huston at Everything Op...
 
GDG Cloud Southlake 32: Kyle Hettinger: Demystifying the Dark Web
GDG Cloud Southlake 32: Kyle Hettinger: Demystifying the Dark WebGDG Cloud Southlake 32: Kyle Hettinger: Demystifying the Dark Web
GDG Cloud Southlake 32: Kyle Hettinger: Demystifying the Dark Web
 
Best VIP Call Girls Noida Sector 75 Call Me: 8448380779
Best VIP Call Girls Noida Sector 75 Call Me: 8448380779Best VIP Call Girls Noida Sector 75 Call Me: 8448380779
Best VIP Call Girls Noida Sector 75 Call Me: 8448380779
 
Top Rated Pune Call Girls Daund ⟟ 6297143586 ⟟ Call Me For Genuine Sex Servi...
Top Rated  Pune Call Girls Daund ⟟ 6297143586 ⟟ Call Me For Genuine Sex Servi...Top Rated  Pune Call Girls Daund ⟟ 6297143586 ⟟ Call Me For Genuine Sex Servi...
Top Rated Pune Call Girls Daund ⟟ 6297143586 ⟟ Call Me For Genuine Sex Servi...
 
Call Girls In Ashram Chowk Delhi 💯Call Us 🔝8264348440🔝
Call Girls In Ashram Chowk Delhi 💯Call Us 🔝8264348440🔝Call Girls In Ashram Chowk Delhi 💯Call Us 🔝8264348440🔝
Call Girls In Ashram Chowk Delhi 💯Call Us 🔝8264348440🔝
 
Call Girls In Pratap Nagar Delhi 💯Call Us 🔝8264348440🔝
Call Girls In Pratap Nagar Delhi 💯Call Us 🔝8264348440🔝Call Girls In Pratap Nagar Delhi 💯Call Us 🔝8264348440🔝
Call Girls In Pratap Nagar Delhi 💯Call Us 🔝8264348440🔝
 
Russian Call girl in Ajman +971563133746 Ajman Call girl Service
Russian Call girl in Ajman +971563133746 Ajman Call girl ServiceRussian Call girl in Ajman +971563133746 Ajman Call girl Service
Russian Call girl in Ajman +971563133746 Ajman Call girl Service
 
Call Now ☎ 8264348440 !! Call Girls in Shahpur Jat Escort Service Delhi N.C.R.
Call Now ☎ 8264348440 !! Call Girls in Shahpur Jat Escort Service Delhi N.C.R.Call Now ☎ 8264348440 !! Call Girls in Shahpur Jat Escort Service Delhi N.C.R.
Call Now ☎ 8264348440 !! Call Girls in Shahpur Jat Escort Service Delhi N.C.R.
 
Moving Beyond Twitter/X and Facebook - Social Media for local news providers
Moving Beyond Twitter/X and Facebook - Social Media for local news providersMoving Beyond Twitter/X and Facebook - Social Media for local news providers
Moving Beyond Twitter/X and Facebook - Social Media for local news providers
 
(INDIRA) Call Girl Pune Call Now 8250077686 Pune Escorts 24x7
(INDIRA) Call Girl Pune Call Now 8250077686 Pune Escorts 24x7(INDIRA) Call Girl Pune Call Now 8250077686 Pune Escorts 24x7
(INDIRA) Call Girl Pune Call Now 8250077686 Pune Escorts 24x7
 
Pune Airport ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready...
Pune Airport ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready...Pune Airport ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready...
Pune Airport ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready...
 
INDIVIDUAL ASSIGNMENT #3 CBG, PRESENTATION.
INDIVIDUAL ASSIGNMENT #3 CBG, PRESENTATION.INDIVIDUAL ASSIGNMENT #3 CBG, PRESENTATION.
INDIVIDUAL ASSIGNMENT #3 CBG, PRESENTATION.
 
VVVIP Call Girls In Connaught Place ➡️ Delhi ➡️ 9999965857 🚀 No Advance 24HRS...
VVVIP Call Girls In Connaught Place ➡️ Delhi ➡️ 9999965857 🚀 No Advance 24HRS...VVVIP Call Girls In Connaught Place ➡️ Delhi ➡️ 9999965857 🚀 No Advance 24HRS...
VVVIP Call Girls In Connaught Place ➡️ Delhi ➡️ 9999965857 🚀 No Advance 24HRS...
 
On Starlink, presented by Geoff Huston at NZNOG 2024
On Starlink, presented by Geoff Huston at NZNOG 2024On Starlink, presented by Geoff Huston at NZNOG 2024
On Starlink, presented by Geoff Huston at NZNOG 2024
 
(+971568250507 ))# Young Call Girls in Ajman By Pakistani Call Girls in ...
(+971568250507  ))#  Young Call Girls  in Ajman  By Pakistani Call Girls  in ...(+971568250507  ))#  Young Call Girls  in Ajman  By Pakistani Call Girls  in ...
(+971568250507 ))# Young Call Girls in Ajman By Pakistani Call Girls in ...
 
Hot Call Girls |Delhi |Hauz Khas ☎ 9711199171 Book Your One night Stand
Hot Call Girls |Delhi |Hauz Khas ☎ 9711199171 Book Your One night StandHot Call Girls |Delhi |Hauz Khas ☎ 9711199171 Book Your One night Stand
Hot Call Girls |Delhi |Hauz Khas ☎ 9711199171 Book Your One night Stand
 
Call Girls In Model Towh Delhi 💯Call Us 🔝8264348440🔝
Call Girls In Model Towh Delhi 💯Call Us 🔝8264348440🔝Call Girls In Model Towh Delhi 💯Call Us 🔝8264348440🔝
Call Girls In Model Towh Delhi 💯Call Us 🔝8264348440🔝
 
✂️ 👅 Independent Andheri Escorts With Room Vashi Call Girls 💃 9004004663
✂️ 👅 Independent Andheri Escorts With Room Vashi Call Girls 💃 9004004663✂️ 👅 Independent Andheri Escorts With Room Vashi Call Girls 💃 9004004663
✂️ 👅 Independent Andheri Escorts With Room Vashi Call Girls 💃 9004004663
 

First Steps in Research Data Management Under Constraints of a National Security Laboratory

  • 1. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC First Steps in Research Data Management Under Constraints of a National Security Laboratory Martin Klein 0000-0003-0130-2097 @mart1nkle1n Brian Cain 0000-0001-7356-5860 @briancain101 Research Library Los Alamos National Laboratory Acknowledgements: Herbert Van de Sompel, Frances Knudson, Joshua Finnell, Wei Gu, Jason Keith
  • 2. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC 2 2013 OSTP MEMO • All federal agencies over $100M annually in R&D required to make data stored and publicly accessible to search, retrieve, and analyze. • Scope: data necessary to validate research findings, including data sets used to support scholarly publications.
  • 3. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC NATIONAL LABS Ames Argonne Brookhaven Fermi Idaho Los Alamos Lawrence Berkeley Lawrence Livermore NETL NREL Oak Ridge Pacific Northwest Princeton SLAC Sandia Savannah River Thomas Jefferson SCIENTIFIC & TECHNICAL INFORMATION (STI/R&D Results) Text • Journal articles/accepted manuscripts • Technical reports • Conference papers • Patents Data • Large and small datasets • Images • Visualizations Software/Code ≥ 50,000 STI “products” annually $12 Billion R&D Funding United States Department of Energy 3
  • 4. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC United States Department of Energy 4
  • 5. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC Environmental Scan • Data Working Group identified 12 institutions and contacted data services managers at each institution • Questions regarded: • Budget • Staffing • Data Security/Platform • Discovery Tools • Interdepartmental cooperation • Permanent Data Storage Budget $200,000 - $2,000,000 Staffing 2-15 FTE Platform Hydra/Fedora ; Dataverse ; Dspace ; Third Party Data Discovery Tools Individual silos and catalogs ; APIs Interdepartmental Cooperation Library ; IT + Library ; Partnership between 3+ Permanent Storage None ; 10-year retention policy ; Forever? 5
  • 6. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC Data interviews • Data collection consisted of in-depth interviews with researchers from across the Lab and were completed during the summer of 2016 • Identify all LANL data sets deposited in external data repositories by LANL researchers (Figshare, Zonodo, Dryad, Dataverse) • Contact all researchers who have submitted a data set for review • Contact all researchers who have created a Data Management Plan using the Library’s DMPTool • Identify data-intensive researchers from the Library Roadshows • Recommendations from the Data Executive Team 6
  • 7. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC • “A centralized storage solution would be great. Wouldn’t have to keep all my files on an office computer.” • “It would be great if the Lab had a centralized repository where I could collaborate, store, and share my data both internally and externally. Something like Dropbox would even be helpful.” • “Much of this data is hosted on old websites that we maintain (scripted in Perl; accessible through FTP). In other words, old crusty crap.” • “When my post-doc is gone, I don’t know where their stuff is.” • “I know this experiment has been run before, but I can’t find the data, so I’m running it again.” • “There are many files named “data” on my group’s share drive.” “Highlights” from Data Management Surveys, Working Groups 7
  • 8. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC • Need for infrastructure to support internal and external research collaboration • Providing data storage and data sharing • Integration with frequently utilized research tools/flows • Support documentation and preservation • Compliant with LANL policies re data management, review and release, security Results from Data Management Surveys, Working Groups 8
  • 9. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC • Reality: LANL policies prevent the use of off-the-shelf, cloud- based “open science” platforms that many other research institutions use. • Ergo: • Investigate the feasibility of a local solution • Goal: Provide internal collaboration platform as a path toward structured data management • Nucleus Project • Pilot effort by the Research Library • Since January 2017; 1 FTE hired; 4 PT contributors • Based on a local install of the Open Science Framework software Taking Action at LANL 9
  • 10. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC • Optimize a researcher’s use of time by: • Making it easier to accomplish collaborative goals • Reducing number of steps to achieve goals • Reducing potential for errors when accomplishing goals • Improving project management, communication • By deploying a platform that: • Streamlines workflows • Provides glue between systems/tools • Provides an overview of assets involved in research collaboration Some Anticipated Benefits for Researchers 10
  • 11. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC Submit Dataset to RASSTI - Before 1. 11
  • 12. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC Submit Dataset to RASSTI - Before 1. 2. 12
  • 13. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC Submit Dataset to RASSTI - Before 1. 2. 13
  • 14. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC Submit Dataset to RASSTI - Before 1. 2. 3. 14
  • 15. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC Submit Dataset to RASSTI - Before 1. 2. 3. 15
  • 16. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC Submit Dataset to RASSTI - Before 1. 2. 3. 4. 16
  • 17. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC Submit Dataset to RASSTI - Before 1. 2. 3. 5. 4. 17
  • 18. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC • Making it easier to accomplish collaborative goals • Overview of assets involved in research (collaboration) • Tracking of idea  funding  data  publication  patent • “Single” point of (data) preservation • Synergies with internal and external funding requirements • Provide a seamless method for compliance with LANL review and release and security policies Some Anticipated Benefits for LANL 18
  • 19. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC • Open Source Software, developed and maintained by the Center for Open Science • Default use is in the cloud-based portal osf.io that supports multi-organizational open science and collaborative scholarship • Provides glue for many aspects of the research workflow • Offers integrations with many existing productivity tools Open Science Framework 19
  • 20. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC Data Storage Data Storage Data Storage Data Storage STORAGE TOOLS R MatLab Echo Granta TeXmaker................................ CODES RASSTI RASSTI store CODES store REVIEW RELEASE OUTSIDE LANL DOE GitLab DOE OSTI experiment simulation documentation arXivGitHub .......................... firewall
  • 21. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC Data Storage Data Storage Data Storage Data Storage STORAGE TOOLS R MatLab Echo Granta TeXmaker................................ CODES RASSTI LANL authenticate LANL GitLab RASSTI store CODES store REVIEW RELEASE OUTSIDE LANL DOE GitLab DOE OSTI experiment simulation documentation arXivGitHub .......................... firewall
  • 22. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC S3 storage connect Google Drive connect Data Storage Data Storage Data Storage Data Storage Project Metadata & Access Control CODES connect RASSTI connect LANL auth connect GitLab connect STORAGE TOOLS R MatLab Echo Granta TeXmaker................................ CODES RASSTI LANL authenticate LANL GitLab NUCLEUS OSF project collaboration RASSTI store CODES store REVIEW RELEASE OUTSIDE LANL DOE GitLab DOE OSTI experiment simulation documentation arXivGitHub .......................... firewall
  • 23. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC Google Drive connect Data Storage Data Storage Data Storage Data Storage Project Metadata & Access Control CODES connect RASSTI connect LANL auth connect GitLab connect STORAGE TOOLS R MatLab Echo Granta TeXmaker................................ CODES RASSTI LANL authenticate LANL GitLab NUCLEUS OSF project collaboration RASSTI store CODES store REVIEW RELEASE OUTSIDE LANL DOE GitLab DOE OSTI experiment simulation documentation arXivGitHub .......................... firewall
  • 24. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC 24
  • 25. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC 25
  • 26. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC 26
  • 27. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC Submit Dataset to RASSTI - After 1. 2. 27
  • 28. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC 28
  • 29. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC • (Technical) Challenges • Ownership of the software environment • Storage at institution, division, group level? • Contamination, who is responsible for clean-up? • Cybersecurity review Challenges & Questions • Questions • Is this useful to researchers? Under what conditions? • What other local/homegrown systems should be integrated? • What does success look like? • Active users? • Structured data management? 29
  • 30. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC • Pilot Nucleus--Summer 2018 • Invited “friends and family” at LANL • Identifying bugs and eliciting feedback before expanding pilot • Generally positive response, some skepticism for yet another tool Outreach & Feedback • Data Management Workshop--August 2018 • ~50 attendees introduced to Nucleus and “Data Management 101” • Positive response, but constrained by “Pilot” status • Some concerns about competition between collaboration tools 30
  • 31. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC Nucleus — Fall/Winter 2018 • Utilizing feedback to seek institutional support, ownership (i.e. funding and project resources) • Possible integration with institutional Google Suite, impact on adoption and sustainability? • New laboratory management (since November 1, 2018) • Developing relationships with new partners and hierarchy Current Status 31
  • 32. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC Lessons Learned • Limitation of a pilot to assess utility • Contradictions between survey results and a few pilot responses • LANL collaborations tools are terrible, we need something new!  LANL collaboration tools are amazing, why would you want to compete with them?! • What might be going on here? Grass is greener? Novelty? Endowment effect? • Need to have a strong use case and value-added proposition prepared for end-users, they do not always see the apparent utility 32
  • 33. 1st Steps in RDM at LANL @mart1nkle1n & @briancain101 CNI Fall Meeting 2018, 12/10/2018, Washington, DC First Steps in Research Data Management Under Constraints of a National Security Laboratory Martin Klein 0000-0003-0130-2097 @mart1nkle1n Brian Cain 0000-0001-7356-5860 @briancain101 Research Library Los Alamos National Laboratory