SlideShare ist ein Scribd-Unternehmen logo
1 von 26
Downloaden Sie, um offline zu lesen
Getting Started with Data in Your Library
Margaret Henderson
Director, Research Data Management
VCU Libraries
Research Data means recorded information, regardless of form or the media
in which it may be recorded, which constitute the original observations and
methods of a study and the analyses of these original data that are necessary
for reconstruction and evaluation of the Report(s) of a study made by one or
more Investigators. Research Data also includes all such recorded information
gathered in anticipation of a Report. Research Data differ among disciplines.
The term may include but is not limited to technical information, computer
software, laboratory and other notebooks, printouts, worksheets, other
media, survey, memoranda, evaluations, notes, databases, clinical case
history records, study protocols, statistics, findings, conclusions, samples,
physical collections, other supporting materials created or gathered in the
course of the Research, Tangible Research Property, unique Research
resources such as synthetic compounds, organisms, cell lines, viruses, cell
products, cloned DNA as well as genetic sequences and mapping information,
crystallographic coordinates, plants, animals and spectroscopic data, and
other compilations formed by selecting and assembling preexisting materials
in a unique way.
Big data is like teenage sex: everyone talks about
it, nobody really knows how to do it, everyone
thinks everyone else is doing it, so everyone
claims they are doing it…”— Dan Ariely

https://www.facebook.com/dan.ariely http://danariely.com/
“If it gives you pain, it is Big Data.”
- Donald Brown, new Director of Virginia Integrative Data Institute, speaking
at Research Data and Technology Fair presented by Claude Moore Health
Sciences Library, University of Virginia Health System
Lots of Small Data = Big Data

Heidorn, P. Bryan. (2008) Shedding Light on the Dark Data in the Long Tail of Science. Library Trends, 57(2), pp.280-299.
http://www.jisc.ac.uk/whatwedo/campaigns/res3/jischelp.aspx
Data in the Research Life Cycle

From Data Management Consulting Group, UVA Library.
http://www.dcc.ac.uk/
Libraries and Data
Library and information professionals:
• need to become more involved with semantic
web or users will reinvent wheel (i.e. ontologies)
• have the interpersonal and subject specialization
for reference/consultation that IT doesn't have
• continue to help users find the information they
need.
Stuart, David.(2011) Facilitating Access to the Web of Data: a Guide for Librarians. Facet
Publishing.
What Can You Do to Help?
•
•
•
•
•
•

Learn about data.
Learn about data in your organization.
Find the gaps.
Help people figure out what they need.
Help people find what they need.
What other skills do you have? Analysis?
Visualization? Programming? Etc.
Learn About Data
•
•
•
•

DataONE http://www.dataone.org/best-practices
MANTRA http://datalib.edina.ac.uk/mantra/
RDMRose http://rdmrose.group.shef.ac.uk/
UK Data Archive http://www.data-archive.ac.uk/home
http://www.data-archive.ac.uk/media/2894/managingsharing.pdf

• Kdnuggets http://www.kdnuggets.com/
Who Else is Involved?
Scholarly
Communication
Collection
Analysis and
Investment

Education/
Instruction

Preservation
and Inventory
Management

Research Data
Services

Digital
Technologies

Liaisons at
TML and
Cabell

Metadata and
Discovery

Analysis
and
infographics
(various
depts.)
VCU
Schools,
Institutes
and Centers

Technology
Services
Office of
Research

Research Data
Services

Faculty and
Researchers

Center for
Clinical and
Translationa
l Research
Gaps

http://en.wikipedia.org/wiki/File:SWOT_en.svg
What are Your Organizational Needs?
Reuse of Data
for Research
and Education

Education of
New
Researchers

Data
Management
Data Storage
Data Curation

Open Access

Data Needs
Links to
Articles –
Data DOI

Lab
Notebooks
Author ID –
Disambiguati
on, i.e.
ORCID, etc.

Impact Story
– Citation of
Data
Outside Pressures
• Regulatory requirements
• Grant and funding requirements
• Journal requirements
http://retractionwatch.wordpress.com/

• Patent/ Intellectual Property documentation
• Need to keep market share
• etc.
Data Interviews
• Purdue Data Curation Profile
http://datacurationprofiles.org/
• Data Management Plan https://dmp.cdlib.org/ or
Simplified DMP
http://library.umassmed.edu/data_management_frameworks.pdf (pg 21)

to go over basics
• Research and work flow story
Keep Learning More
•
•
•
•

MOOCs
Library school classes and programs
Statistics and analysis http://www.gapminder.org/
Twitter (#data or follow a particular group,
person, or meeting)
• Listservs
• Journals
• Conferences
http://www.slideshare.net/AbigailGoben/keeping-up-with-data
And More
• Blogs
– Kevin the Librarian http://kevinthelibrarian.wordpress.com/
– Strata (O’Reilly) http://strata.oreilly.com/
- Flowing Data
http://flowingdata.com/

http://flowingdata.com/2013/10/14/pizza
-place-geography/
Data Re-Use
• Databib http://databib.org/
• OpenDOAR (Directory of Open Access
Repositories) http://www.opendoar.org/
• DATA.gov http://www.data.gov/
• ICPSR (Inter-University Consortium for Political
and Social Research) subscription
http://www.icpsr.umich.edu/
http://www.dataone.org/

http://figshare.com/

http://datadryad.org/
Find a Niche
• Disciplinary Metadata
http://www.dcc.ac.uk/resources/metadata-standards

• “Data Analysis” (Coursera) videos
http://blog.revolutionanalytics.com/2013/04/coursera-dataanalysis-course-videos.html

• Research Data Management: Principles, Practices,
and Prospects (DataRes project, library response to
data) http://www.clir.org/pubs/reports/pub160/pub160.pdf
Assessment
• Keep track of what you do.
• Keep track of what is done with the
information you find.
• Altmetrics http://impactstory.org/
• Data citation “Out of Cite, Out of Mind”
http://dx.doi.org/10.2481/dsj.OSOM13-043
Thank you.
@mehlibrarian
http://wp.vcu.edu/mehenderson/

http://www.slideshare.net/MargaretHenderson
Data Snafu in 3 Acts
• http://youtu.be/66oNv_DJuPc
• If there is time I will show this, if not, it is here
for you to watch and use.

Weitere ähnliche Inhalte

Was ist angesagt?

Was ist angesagt? (20)

Research Data Management: How will Northwestern address new sharing requireme...
Research Data Management: How will Northwestern address new sharing requireme...Research Data Management: How will Northwestern address new sharing requireme...
Research Data Management: How will Northwestern address new sharing requireme...
 
Introduction to data management
Introduction to data managementIntroduction to data management
Introduction to data management
 
Computational Research day 2015
Computational Research day 2015Computational Research day 2015
Computational Research day 2015
 
Introduction to data management
Introduction to data managementIntroduction to data management
Introduction to data management
 
Data Literacy: Creating and Managing Reserach Data
Data Literacy: Creating and Managing Reserach DataData Literacy: Creating and Managing Reserach Data
Data Literacy: Creating and Managing Reserach Data
 
Data Services/ICPSR presentation for School of Education
Data Services/ICPSR presentation for School of EducationData Services/ICPSR presentation for School of Education
Data Services/ICPSR presentation for School of Education
 
NISO Training Thursday Crafting a Scientific Data Management Plan
NISO Training Thursday Crafting a Scientific Data Management PlanNISO Training Thursday Crafting a Scientific Data Management Plan
NISO Training Thursday Crafting a Scientific Data Management Plan
 
DataONE Education Module 03: Data Management Planning
DataONE Education Module 03: Data Management PlanningDataONE Education Module 03: Data Management Planning
DataONE Education Module 03: Data Management Planning
 
RDAP 16: DMPs and Public Access: An NIH Perspective (Panel 5, DMPs and Public...
RDAP 16: DMPs and Public Access: An NIH Perspective (Panel 5, DMPs and Public...RDAP 16: DMPs and Public Access: An NIH Perspective (Panel 5, DMPs and Public...
RDAP 16: DMPs and Public Access: An NIH Perspective (Panel 5, DMPs and Public...
 
NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...
NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...
NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...
 
RDAP 16: Perspective on DMPs, Funders and Public Access (Panel 5: DMPs and Pu...
RDAP 16: Perspective on DMPs, Funders and Public Access (Panel 5: DMPs and Pu...RDAP 16: Perspective on DMPs, Funders and Public Access (Panel 5: DMPs and Pu...
RDAP 16: Perspective on DMPs, Funders and Public Access (Panel 5: DMPs and Pu...
 
RDAP 16: Data Management Plan Perspectives (Panel 5, DMPs and Public Access)
RDAP 16: Data Management Plan Perspectives (Panel 5, DMPs and Public Access)RDAP 16: Data Management Plan Perspectives (Panel 5, DMPs and Public Access)
RDAP 16: Data Management Plan Perspectives (Panel 5, DMPs and Public Access)
 
Building and providing data management services a framework for everyone!
Building and providing data management services  a framework for everyone!Building and providing data management services  a framework for everyone!
Building and providing data management services a framework for everyone!
 
RDAP 16: DMPs and Public Access: Agency and Data Service Experiences
RDAP 16: DMPs and Public Access: Agency and Data Service ExperiencesRDAP 16: DMPs and Public Access: Agency and Data Service Experiences
RDAP 16: DMPs and Public Access: Agency and Data Service Experiences
 
Praetzellis "Data Management Planning and Tools"
Praetzellis "Data Management Planning and Tools"Praetzellis "Data Management Planning and Tools"
Praetzellis "Data Management Planning and Tools"
 
NSF Data Management Requirements 101
NSF Data Management Requirements 101NSF Data Management Requirements 101
NSF Data Management Requirements 101
 
You down with dmp yeah you know me!
You down with dmp  yeah you know me!You down with dmp  yeah you know me!
You down with dmp yeah you know me!
 
RDAP 16: If I could turn back time: Looking back on 2+ years of DMP consultin...
RDAP 16: If I could turn back time: Looking back on 2+ years of DMP consultin...RDAP 16: If I could turn back time: Looking back on 2+ years of DMP consultin...
RDAP 16: If I could turn back time: Looking back on 2+ years of DMP consultin...
 
Data Management Lab: Session 1 Slides
Data Management Lab: Session 1 SlidesData Management Lab: Session 1 Slides
Data Management Lab: Session 1 Slides
 
INCLUSION OF DATA ARCHIVES IN DATA MANAGEMENT PLAN
INCLUSION OF DATA ARCHIVES IN DATA MANAGEMENT PLANINCLUSION OF DATA ARCHIVES IN DATA MANAGEMENT PLAN
INCLUSION OF DATA ARCHIVES IN DATA MANAGEMENT PLAN
 

Andere mochten auch

Virginia Tech - New Employee Orientation - Faculty Leave
Virginia Tech - New Employee Orientation - Faculty LeaveVirginia Tech - New Employee Orientation - Faculty Leave
Virginia Tech - New Employee Orientation - Faculty Leave
vt-hr-service-center
 
Economic Development At Virginia Tech
Economic Development At Virginia TechEconomic Development At Virginia Tech
Economic Development At Virginia Tech
John A. Provo
 
Virginia Tech Libraries: Strategic Directions
Virginia Tech Libraries: Strategic DirectionsVirginia Tech Libraries: Strategic Directions
Virginia Tech Libraries: Strategic Directions
Tyler Walters
 
Ghosh vt-oired-overview
Ghosh vt-oired-overviewGhosh vt-oired-overview
Ghosh vt-oired-overview
leversole
 
Computer Literacy programs in rural communities - Understaning Social Motivators
Computer Literacy programs in rural communities - Understaning Social MotivatorsComputer Literacy programs in rural communities - Understaning Social Motivators
Computer Literacy programs in rural communities - Understaning Social Motivators
Prasad Kantamneni
 
Airport master plan
Airport master planAirport master plan
Airport master plan
Aravind Raj
 
Harvard architecture
Harvard architectureHarvard architecture
Harvard architecture
Carmen Ugay
 

Andere mochten auch (18)

Virginia Tech - New Employee Orientation - Faculty Leave
Virginia Tech - New Employee Orientation - Faculty LeaveVirginia Tech - New Employee Orientation - Faculty Leave
Virginia Tech - New Employee Orientation - Faculty Leave
 
RDAP 15: Virginia Tech University Libraries’ Data Service Pilot with the Coll...
RDAP 15: Virginia Tech University Libraries’ Data Service Pilot with the Coll...RDAP 15: Virginia Tech University Libraries’ Data Service Pilot with the Coll...
RDAP 15: Virginia Tech University Libraries’ Data Service Pilot with the Coll...
 
Sharing, Communication, and Music Listening: A Diary Study of Technology Use ...
Sharing, Communication, and Music Listening: A Diary Study of Technology Use ...Sharing, Communication, and Music Listening: A Diary Study of Technology Use ...
Sharing, Communication, and Music Listening: A Diary Study of Technology Use ...
 
RDAP 16: Sustaining Research Data Services (Panel 2: Sustainability)
RDAP 16: Sustaining Research Data Services (Panel 2: Sustainability)RDAP 16: Sustaining Research Data Services (Panel 2: Sustainability)
RDAP 16: Sustaining Research Data Services (Panel 2: Sustainability)
 
MOOCs at UVa as of March 1, 2013
MOOCs at UVa as of March 1, 2013MOOCs at UVa as of March 1, 2013
MOOCs at UVa as of March 1, 2013
 
Economic Development At Virginia Tech
Economic Development At Virginia TechEconomic Development At Virginia Tech
Economic Development At Virginia Tech
 
Virginia Tech Libraries: Strategic Directions
Virginia Tech Libraries: Strategic DirectionsVirginia Tech Libraries: Strategic Directions
Virginia Tech Libraries: Strategic Directions
 
Ghosh vt-oired-overview
Ghosh vt-oired-overviewGhosh vt-oired-overview
Ghosh vt-oired-overview
 
Computer Literacy programs in rural communities - Understaning Social Motivators
Computer Literacy programs in rural communities - Understaning Social MotivatorsComputer Literacy programs in rural communities - Understaning Social Motivators
Computer Literacy programs in rural communities - Understaning Social Motivators
 
Overview Of Eye Tracking At Yahoo
Overview Of Eye Tracking At YahooOverview Of Eye Tracking At Yahoo
Overview Of Eye Tracking At Yahoo
 
Virginia Tech FYE and ePortfolio
Virginia Tech FYE and ePortfolioVirginia Tech FYE and ePortfolio
Virginia Tech FYE and ePortfolio
 
On Good Behavior: Human Factors + Building Performance
On Good Behavior: Human Factors + Building PerformanceOn Good Behavior: Human Factors + Building Performance
On Good Behavior: Human Factors + Building Performance
 
Airport master plan
Airport master planAirport master plan
Airport master plan
 
Harvard architecture
Harvard architectureHarvard architecture
Harvard architecture
 
Von Neumann vs Harvard Architecture
Von Neumann vs Harvard ArchitectureVon Neumann vs Harvard Architecture
Von Neumann vs Harvard Architecture
 
RISC Vs CISC, Harvard v/s Van Neumann
RISC Vs CISC, Harvard v/s Van NeumannRISC Vs CISC, Harvard v/s Van Neumann
RISC Vs CISC, Harvard v/s Van Neumann
 
Build Features, Not Apps
Build Features, Not AppsBuild Features, Not Apps
Build Features, Not Apps
 
TEDx Manchester: AI & The Future of Work
TEDx Manchester: AI & The Future of WorkTEDx Manchester: AI & The Future of Work
TEDx Manchester: AI & The Future of Work
 

Ähnlich wie Va sla nov 15 final

DMPTool Webinar 8: Data Curation Profiles and the DMPTool (presented by Jake ...
DMPTool Webinar 8: Data Curation Profiles and the DMPTool (presented by Jake ...DMPTool Webinar 8: Data Curation Profiles and the DMPTool (presented by Jake ...
DMPTool Webinar 8: Data Curation Profiles and the DMPTool (presented by Jake ...
University of California Curation Center
 
Data management woolfrey
Data management woolfreyData management woolfrey
Data management woolfrey
pvhead123
 
Survey of research data management practices up2010
Survey of research data management practices up2010Survey of research data management practices up2010
Survey of research data management practices up2010
heila1
 
Survey of research data management practices up2010digschol2011
Survey of research data management practices up2010digschol2011Survey of research data management practices up2010digschol2011
Survey of research data management practices up2010digschol2011
heila1
 
Management of Data Collections
Management of Data CollectionsManagement of Data Collections
Management of Data Collections
abedejesus
 

Ähnlich wie Va sla nov 15 final (20)

Research data life cycle
Research data life cycleResearch data life cycle
Research data life cycle
 
Research Integrity Advisor and Data Management
Research Integrity Advisor and Data ManagementResearch Integrity Advisor and Data Management
Research Integrity Advisor and Data Management
 
Data Management for Postgraduate students by Lynn Woolfrey
Data Management for Postgraduate students by Lynn WoolfreyData Management for Postgraduate students by Lynn Woolfrey
Data Management for Postgraduate students by Lynn Woolfrey
 
Research Data Management and Sharing for the Social Sciences and Humanities
Research Data Management and Sharing for the Social Sciences and HumanitiesResearch Data Management and Sharing for the Social Sciences and Humanities
Research Data Management and Sharing for the Social Sciences and Humanities
 
INSERM - Data Management & Reuse of Health Data - May 2017
INSERM - Data Management & Reuse of Health Data - May 2017INSERM - Data Management & Reuse of Health Data - May 2017
INSERM - Data Management & Reuse of Health Data - May 2017
 
Research Data Management in practice, RIA Data Management Workshop Brisbane 2017
Research Data Management in practice, RIA Data Management Workshop Brisbane 2017Research Data Management in practice, RIA Data Management Workshop Brisbane 2017
Research Data Management in practice, RIA Data Management Workshop Brisbane 2017
 
DMPTool Webinar 8: Data Curation Profiles and the DMPTool (presented by Jake ...
DMPTool Webinar 8: Data Curation Profiles and the DMPTool (presented by Jake ...DMPTool Webinar 8: Data Curation Profiles and the DMPTool (presented by Jake ...
DMPTool Webinar 8: Data Curation Profiles and the DMPTool (presented by Jake ...
 
Introduction to open-data
Introduction to open-dataIntroduction to open-data
Introduction to open-data
 
Data management woolfrey
Data management woolfreyData management woolfrey
Data management woolfrey
 
Fsci 2018 monday30_july_am6
Fsci 2018 monday30_july_am6Fsci 2018 monday30_july_am6
Fsci 2018 monday30_july_am6
 
Research Data Sharing and Re-Use: Practical Implications for Data Citation Pr...
Research Data Sharing and Re-Use: Practical Implications for Data Citation Pr...Research Data Sharing and Re-Use: Practical Implications for Data Citation Pr...
Research Data Sharing and Re-Use: Practical Implications for Data Citation Pr...
 
Survey of research data management practices up2010
Survey of research data management practices up2010Survey of research data management practices up2010
Survey of research data management practices up2010
 
Survey of research data management practices up2010digschol2011
Survey of research data management practices up2010digschol2011Survey of research data management practices up2010digschol2011
Survey of research data management practices up2010digschol2011
 
Publishing perspectives on data management & future directions
Publishing perspectives on data management & future directionsPublishing perspectives on data management & future directions
Publishing perspectives on data management & future directions
 
Critical infrastructure to promote data synthesis
Critical infrastructure to promote data synthesis Critical infrastructure to promote data synthesis
Critical infrastructure to promote data synthesis
 
Management of Data Collections
Management of Data CollectionsManagement of Data Collections
Management of Data Collections
 
Donders Repository - removing barriers for management and sharing of research...
Donders Repository - removing barriers for management and sharing of research...Donders Repository - removing barriers for management and sharing of research...
Donders Repository - removing barriers for management and sharing of research...
 
Data Management - Lynn Woolfrey
Data Management - Lynn WoolfreyData Management - Lynn Woolfrey
Data Management - Lynn Woolfrey
 
In Search of a Missing Link in the Data Deluge vs. Data Scarcity Debate
In Search of a Missing Link in the Data Deluge vs. Data Scarcity DebateIn Search of a Missing Link in the Data Deluge vs. Data Scarcity Debate
In Search of a Missing Link in the Data Deluge vs. Data Scarcity Debate
 
My FAIR share of the work - Diamond Light Source - Dec 2018
My FAIR share of the work - Diamond Light Source - Dec 2018My FAIR share of the work - Diamond Light Source - Dec 2018
My FAIR share of the work - Diamond Light Source - Dec 2018
 

Mehr von Margaret Henderson

Mehr von Margaret Henderson (14)

Final long version notes for Preparing Health Sciences Students for Real Worl...
Final long version notes for Preparing Health Sciences Students for Real Worl...Final long version notes for Preparing Health Sciences Students for Real Worl...
Final long version notes for Preparing Health Sciences Students for Real Worl...
 
Preparing Health Sciences Students for Real World Information Gathering Using...
Preparing Health Sciences Students for Real World Information Gathering Using...Preparing Health Sciences Students for Real World Information Gathering Using...
Preparing Health Sciences Students for Real World Information Gathering Using...
 
Ps rwebinar january2019final
Ps rwebinar january2019finalPs rwebinar january2019final
Ps rwebinar january2019final
 
NNLM SEA webinar June 2018 script
NNLM SEA webinar June 2018 scriptNNLM SEA webinar June 2018 script
NNLM SEA webinar June 2018 script
 
Script for MIS webinar 2016 - RDM for Clinical Trials and Quality Improvement
Script for MIS webinar 2016 - RDM for Clinical Trials and Quality ImprovementScript for MIS webinar 2016 - RDM for Clinical Trials and Quality Improvement
Script for MIS webinar 2016 - RDM for Clinical Trials and Quality Improvement
 
Research Data Management for Clinical Trials and Quality Improvement
Research Data Management for Clinical Trials and Quality ImprovementResearch Data Management for Clinical Trials and Quality Improvement
Research Data Management for Clinical Trials and Quality Improvement
 
Notes for Inroads into Data
Notes for Inroads into DataNotes for Inroads into Data
Notes for Inroads into Data
 
Racm april29 ostp
Racm april29 ostpRacm april29 ostp
Racm april29 ostp
 
Ostp memo henderson_reznik-zellen_april2015
Ostp memo henderson_reznik-zellen_april2015Ostp memo henderson_reznik-zellen_april2015
Ostp memo henderson_reznik-zellen_april2015
 
Rdap panel script
Rdap panel scriptRdap panel script
Rdap panel script
 
M henderson rdap2014
M henderson rdap2014M henderson rdap2014
M henderson rdap2014
 
Open data oct 2013
Open data oct 2013Open data oct 2013
Open data oct 2013
 
Ehr presentation script for blog
Ehr presentation script for blogEhr presentation script for blog
Ehr presentation script for blog
 
Connecting eh rdataquad12
Connecting eh rdataquad12Connecting eh rdataquad12
Connecting eh rdataquad12
 

Kürzlich hochgeladen

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Kürzlich hochgeladen (20)

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 

Va sla nov 15 final

  • 1. Getting Started with Data in Your Library Margaret Henderson Director, Research Data Management VCU Libraries
  • 2.
  • 3. Research Data means recorded information, regardless of form or the media in which it may be recorded, which constitute the original observations and methods of a study and the analyses of these original data that are necessary for reconstruction and evaluation of the Report(s) of a study made by one or more Investigators. Research Data also includes all such recorded information gathered in anticipation of a Report. Research Data differ among disciplines. The term may include but is not limited to technical information, computer software, laboratory and other notebooks, printouts, worksheets, other media, survey, memoranda, evaluations, notes, databases, clinical case history records, study protocols, statistics, findings, conclusions, samples, physical collections, other supporting materials created or gathered in the course of the Research, Tangible Research Property, unique Research resources such as synthetic compounds, organisms, cell lines, viruses, cell products, cloned DNA as well as genetic sequences and mapping information, crystallographic coordinates, plants, animals and spectroscopic data, and other compilations formed by selecting and assembling preexisting materials in a unique way.
  • 4. Big data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it…”— Dan Ariely https://www.facebook.com/dan.ariely http://danariely.com/
  • 5. “If it gives you pain, it is Big Data.” - Donald Brown, new Director of Virginia Integrative Data Institute, speaking at Research Data and Technology Fair presented by Claude Moore Health Sciences Library, University of Virginia Health System
  • 6. Lots of Small Data = Big Data Heidorn, P. Bryan. (2008) Shedding Light on the Dark Data in the Long Tail of Science. Library Trends, 57(2), pp.280-299.
  • 8.
  • 9. Data in the Research Life Cycle From Data Management Consulting Group, UVA Library.
  • 11. Libraries and Data Library and information professionals: • need to become more involved with semantic web or users will reinvent wheel (i.e. ontologies) • have the interpersonal and subject specialization for reference/consultation that IT doesn't have • continue to help users find the information they need. Stuart, David.(2011) Facilitating Access to the Web of Data: a Guide for Librarians. Facet Publishing.
  • 12. What Can You Do to Help? • • • • • • Learn about data. Learn about data in your organization. Find the gaps. Help people figure out what they need. Help people find what they need. What other skills do you have? Analysis? Visualization? Programming? Etc.
  • 13. Learn About Data • • • • DataONE http://www.dataone.org/best-practices MANTRA http://datalib.edina.ac.uk/mantra/ RDMRose http://rdmrose.group.shef.ac.uk/ UK Data Archive http://www.data-archive.ac.uk/home http://www.data-archive.ac.uk/media/2894/managingsharing.pdf • Kdnuggets http://www.kdnuggets.com/
  • 14. Who Else is Involved? Scholarly Communication Collection Analysis and Investment Education/ Instruction Preservation and Inventory Management Research Data Services Digital Technologies Liaisons at TML and Cabell Metadata and Discovery Analysis and infographics (various depts.) VCU Schools, Institutes and Centers Technology Services Office of Research Research Data Services Faculty and Researchers Center for Clinical and Translationa l Research
  • 16. What are Your Organizational Needs? Reuse of Data for Research and Education Education of New Researchers Data Management Data Storage Data Curation Open Access Data Needs Links to Articles – Data DOI Lab Notebooks Author ID – Disambiguati on, i.e. ORCID, etc. Impact Story – Citation of Data
  • 17. Outside Pressures • Regulatory requirements • Grant and funding requirements • Journal requirements http://retractionwatch.wordpress.com/ • Patent/ Intellectual Property documentation • Need to keep market share • etc.
  • 18. Data Interviews • Purdue Data Curation Profile http://datacurationprofiles.org/ • Data Management Plan https://dmp.cdlib.org/ or Simplified DMP http://library.umassmed.edu/data_management_frameworks.pdf (pg 21) to go over basics • Research and work flow story
  • 19. Keep Learning More • • • • MOOCs Library school classes and programs Statistics and analysis http://www.gapminder.org/ Twitter (#data or follow a particular group, person, or meeting) • Listservs • Journals • Conferences http://www.slideshare.net/AbigailGoben/keeping-up-with-data
  • 20. And More • Blogs – Kevin the Librarian http://kevinthelibrarian.wordpress.com/ – Strata (O’Reilly) http://strata.oreilly.com/ - Flowing Data http://flowingdata.com/ http://flowingdata.com/2013/10/14/pizza -place-geography/
  • 21. Data Re-Use • Databib http://databib.org/ • OpenDOAR (Directory of Open Access Repositories) http://www.opendoar.org/ • DATA.gov http://www.data.gov/ • ICPSR (Inter-University Consortium for Political and Social Research) subscription http://www.icpsr.umich.edu/
  • 23. Find a Niche • Disciplinary Metadata http://www.dcc.ac.uk/resources/metadata-standards • “Data Analysis” (Coursera) videos http://blog.revolutionanalytics.com/2013/04/coursera-dataanalysis-course-videos.html • Research Data Management: Principles, Practices, and Prospects (DataRes project, library response to data) http://www.clir.org/pubs/reports/pub160/pub160.pdf
  • 24. Assessment • Keep track of what you do. • Keep track of what is done with the information you find. • Altmetrics http://impactstory.org/ • Data citation “Out of Cite, Out of Mind” http://dx.doi.org/10.2481/dsj.OSOM13-043
  • 26. Data Snafu in 3 Acts • http://youtu.be/66oNv_DJuPc • If there is time I will show this, if not, it is here for you to watch and use.