This presentation was provided by Andrew K. Pace of OCLC, during the 13th Annual NISO-BISG forum "Interoperability: From Silos to An Ecosystem," held on June 24, 2020.
A presentation on research data management presented at the Utah Library Association conference in May 2015. Main topics included federal mandates, data repositories, metadata, and file naming conventions. Presenters: Rebekah Cummings, Elizabeth Smart, Becky Thoms, and Brit Faggerheim.
This presentation was provided by Andrew K. Pace of OCLC, during the 13th Annual NISO-BISG forum "Interoperability: From Silos to An Ecosystem," held on June 24, 2020.
A presentation on research data management presented at the Utah Library Association conference in May 2015. Main topics included federal mandates, data repositories, metadata, and file naming conventions. Presenters: Rebekah Cummings, Elizabeth Smart, Becky Thoms, and Brit Faggerheim.
Who owns the data? Intellectual property considerations for academic research...Rebekah Cummings
Intellectual property (IP) is often complicated but is even more so as it pertains to data, as “facts” are not eligible for copyright protection under United States copyright law. The IP issues surrounding data in academic research environments are often exacerbated by the fact that data ownership has rarely been discussed in university environments prior to NSF’s data management plan requirement in 2011. Researchers retained custody over their datasets and other stakeholders – namely universities and funding agencies – rarely contested ownership. Now, as datasets are increasingly seen as valuable outputs of research alongside publications, questions of data ownership are coming to the fore. This presentation will frame the complex issues surrounding data ownership in an academic research setting and will discuss strategies for educating and advising your researchers on intellectual property issues related to research data.
Presentation for my co-authored paper "Open University Data" on the CIIT conference in 2012. It describes the process and benefits of opening parts of the Faculty of Computer Science and Engineering data in a structured format.
Presenters: Patricia Kenly, Liza Weisbrod.
Presented at the Georgia Libraries Conference in Columbus, GA on 10/03/2018.
HathiTrust puts historical information at your fingertips; it is a go-to resource for online access to government material, from colonial times to the present. Discover how to effectively use this free, yet frequently overlooked essential database of more
than 1 million items (and growing) of items from the U.S. federal government. Almost all of the material is fully viewable by anyone, anywhere.
This is the PowerPoint for my "Data Management for Undergraduate Researchers" workshop for the Office of Undergraduate Research Seminar and Workshop Series. Major topics include motivations behind good data management, file naming, version control, metadata, storage, and archiving.
A review of ICPSR's 50 year history as a research data archive and an overview of the data services it currently offers as well as data services in development
Data in The Classroom: It's Not Just for Nerds Anymore!ICPSR
These slides provide resources for real, interactive, and fun data faculty can bring into the classroom for great discussions and paper assignments designed to get students thinking critically. You don't need to be a numbers guru to do it! These slides also emphasize the value of data and numbers to students in getting great jobs and in understanding the world around them.
Bridging The ALM Divide: An Integrated Archive-Library-Museum Approach for Hy...The Magnes
For many years, institutions housing archive, library, and museum (ALM) collections have catalogued their holdings either into specialized software for each area types, or have forced their collection records into systems which do not take into account the cataloging standards of the field those materials represent.
New technology now allows us to rethink the way ALM assets can be catalogued, not only according to professional standards, but in a collaborative environment. Bridging the ALM Divide demonstrates how cataloguing into a collaborative environment enhances research, protects collections, increases access and interpretation and secures professional standards.
This presentation was prepared by Francesco Spagnolo, PhD, Director of Research and Collections, and Perian Sully, Collection Information Manager at The Magnes.
This presentation was provided by Cecelia Boone of MINITEX, during the NISO event "Collaborative Library Resource Sharing: Standards, Developments, and New Models for Cooperating," held October 7 - October 8, 2008
Sources and Applications for Open Economic DataRenaine Julian
This is a seminar I did for an Economics course at FSU titled "Analysis of Economic Data" (ECO3431). The focus was on open data but subscription services from the library were discussed as well.
Who owns the data? Intellectual property considerations for academic research...Rebekah Cummings
Intellectual property (IP) is often complicated but is even more so as it pertains to data, as “facts” are not eligible for copyright protection under United States copyright law. The IP issues surrounding data in academic research environments are often exacerbated by the fact that data ownership has rarely been discussed in university environments prior to NSF’s data management plan requirement in 2011. Researchers retained custody over their datasets and other stakeholders – namely universities and funding agencies – rarely contested ownership. Now, as datasets are increasingly seen as valuable outputs of research alongside publications, questions of data ownership are coming to the fore. This presentation will frame the complex issues surrounding data ownership in an academic research setting and will discuss strategies for educating and advising your researchers on intellectual property issues related to research data.
Presentation for my co-authored paper "Open University Data" on the CIIT conference in 2012. It describes the process and benefits of opening parts of the Faculty of Computer Science and Engineering data in a structured format.
Presenters: Patricia Kenly, Liza Weisbrod.
Presented at the Georgia Libraries Conference in Columbus, GA on 10/03/2018.
HathiTrust puts historical information at your fingertips; it is a go-to resource for online access to government material, from colonial times to the present. Discover how to effectively use this free, yet frequently overlooked essential database of more
than 1 million items (and growing) of items from the U.S. federal government. Almost all of the material is fully viewable by anyone, anywhere.
This is the PowerPoint for my "Data Management for Undergraduate Researchers" workshop for the Office of Undergraduate Research Seminar and Workshop Series. Major topics include motivations behind good data management, file naming, version control, metadata, storage, and archiving.
A review of ICPSR's 50 year history as a research data archive and an overview of the data services it currently offers as well as data services in development
Data in The Classroom: It's Not Just for Nerds Anymore!ICPSR
These slides provide resources for real, interactive, and fun data faculty can bring into the classroom for great discussions and paper assignments designed to get students thinking critically. You don't need to be a numbers guru to do it! These slides also emphasize the value of data and numbers to students in getting great jobs and in understanding the world around them.
Bridging The ALM Divide: An Integrated Archive-Library-Museum Approach for Hy...The Magnes
For many years, institutions housing archive, library, and museum (ALM) collections have catalogued their holdings either into specialized software for each area types, or have forced their collection records into systems which do not take into account the cataloging standards of the field those materials represent.
New technology now allows us to rethink the way ALM assets can be catalogued, not only according to professional standards, but in a collaborative environment. Bridging the ALM Divide demonstrates how cataloguing into a collaborative environment enhances research, protects collections, increases access and interpretation and secures professional standards.
This presentation was prepared by Francesco Spagnolo, PhD, Director of Research and Collections, and Perian Sully, Collection Information Manager at The Magnes.
This presentation was provided by Cecelia Boone of MINITEX, during the NISO event "Collaborative Library Resource Sharing: Standards, Developments, and New Models for Cooperating," held October 7 - October 8, 2008
Sources and Applications for Open Economic DataRenaine Julian
This is a seminar I did for an Economics course at FSU titled "Analysis of Economic Data" (ECO3431). The focus was on open data but subscription services from the library were discussed as well.
Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
Presenters:
Abigail Goben, University of Illinois Chicago
Tina Griffin, University of Illinois Chicago
Sara Scheib, University of Iowa
Scott Martin, University of Michigan
Panel Leads:
Megan Sapp Nelson, Purdue University
Marina Zhang, University of Iowa
Research Data Management in Academic Libraries: Meeting the ChallengeSpencer Keralis
TLA Program Committee sponsored Preconference talk from Texas Library Association Conference 2013.
CPE#388: SBEC 1.0; TSLAC 1.0
April 24, 2013; 4:00 -4:50 pm
Managing research data is a hot topic in academic libraries. With increased government oversight of publicly-funded research projects, librarians must strive to meet the demand for innovative solutions for managing research information and training the new eneration of librarians to address this issue.
Michigan State University campus policy, resources and best practices for research data management offered by the MSU Libraries Research Data Management Guidance service. http://www.lib.msu.edu/rdmg/
RDAP 16 Poster: Data Management Training ClearinghouseASIS&T
Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
Poster session (Wednesday, May 4)
Presenters:
JC Nelson, Upper Midwest Environmental Sciences Center, USGS
Nancy Hoebelheinrich, Knowledge Motifs, LLC
Tamar Norkin, Core Science Analytics, Synthesis & Libraries, USGS
Amber Budden, DataONE
Sophie Hou, University of Illinois Urbana-Champaign
Shelley Knuth, University of Colorado Boulder
Erin Robinson, Foundation of Earth Science / ESIP Federation
David Bassendine, Blue Dot Lab
Overview and library support for data management/sharingrds-wayne-edu
Presented as part of the 16Jan2014 Professional & Academic Development (PAD) Seminar on "Developing a Data Management Plan and Ensuring Secure Data Access", Wayne State University - Division of Research.
Promoting Data Literacy at the Grassroots (ACRL 2015, Portland, OR)Adam Beauchamp
Presentation given at ACRL 2015, with Christine Murray, on teaching undergraduate students to discover and evaluate datasets for secondary data analysis.
New Explore Careers and College Majors 2024.pdfDr. Mary Askew
Explore Careers and College Majors is a new online, interactive, self-guided career, major and college planning system.
The career system works on all devices!
For more Information, go to https://bit.ly/3SW5w8W
The Impact of Artificial Intelligence on Modern Society.pdfssuser3e63fc
Just a game Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?
NIDM (National Institute Of Digital Marketing) Bangalore Is One Of The Leading & best Digital Marketing Institute In Bangalore, India And We Have Brand Value For The Quality Of Education Which We Provide.
www.nidmindia.com
1. Current Trends in
Data Librarianship
and Ideas for
Application in
Research Libraries
Renaine Julian
March 13, 2014
2. Overview
• Defining research data
• Current trends in data
librarianship
• Data management and the data
lifecycle
• Issues in data librarianship
• Applications for FSU Libraries
3. Research data defined
• “Data are outputs of research,
inputs to scholarly publications
and inputs to subsequent
research and learning” (Borgman 2007)
• Data’s double role:
– Product
– Source
4. Trends in Data Librarianship
• Data curation
• Data management planning
• Data collection and aggregation
• Imbedded Librarianship
5. Data Curation
• Data Types
– Digital content from libraries
– Administrative
– Primary research data
(Neubaer (2011)
• Preserving primary data
– Unique observations
– Enhancing future research
6. Data management defined
“the development and execution of
architectures, policies, practices and
procedures that properly manage the
full data lifecycle needs of an
enterprise.“ (Mosley 2007)
8. Data Management Plan
• Basic Elements:
1. Types of data produced
2. Data and metadata standards
3. Policies for access and sharing
4. Policies for re-use and distribution
Source: California Digital Library Data Management Planning Tool
(https://dmp.cdlib.org/)
• Funding Requirements
– National Science Foundation
– National Institute of Health
9. Data Wranglers
• Small Data vs. Big Data
• Aggregating project and
discipline specific resources
• Finding the hard to find
10. An “Informationist”
• Part of active research team
• Combination of LIS and subject
matter expertise
• Roles
– Advice on DM and Curation
– Meta-analysis and systematic reviews
– Biliometric and network analysis
Federer (2013)
Image source: http://lib.stat.cmu.edu/
11. Access and Collaboration
• Faculty Engagement
– FSU Faculty
– Other institutions
• Open Access/Open Analysis
• Data’s potential value
Image Source: http://fclaweb.fcla.edu/FDA_documentation
12. Issues in Data Librarianship
• Making faculty aware of data
research services
• Lack of expertise in LIS field
• Librarians in competition
• Possible pushback
13. Government Data
• US Census
– American Fact Finder
– TIGER
• Federal Government
• State Agencies
• Local Government
Image Source: Florida Historic Capitol Museum: http://www.flhistoriccapitol.gov/
Photo Source: https://www.bebr.ufl.edu/
Photo Source: http://www.floridajobs.org/Photo source: http://www.bea.gov/
Photo Source: https://explore.data.gov/catalog/next-gen
14. GIS and Spatial Data
• Interdisciplinary
• From data to spatial data
• Thematic and interactive
mapping
• FSU Spatial Data Repository
Image Source: Tallahassee Leon County GIS (http://www.tlcgis.org/)Image Source: www.fgdl.org
15. The Libraries’ Data Expert
• Subject librarians
• Research Consultations
• Library planning and
programming
16.
17. Instruction
• Data Management
• Research methods and statistics
courses
• Interdisciplinary GIS and spatial
data consultation and instruction
19. Works Cited
Borgman, C.L. (2007) Scholarship in the Digital Age : Information, infrastructure, and the
Internet. Cambridge, MA. : MIT Press
Neubaer, W. (2011) Long-term Preservation of Research Data: Challenge and
Opportunity for Academic Libraries in the future. International Conference on Library
and Information Science
Data Management Plan: Sample Plan Created at the DataONE Best Practices
Workshop - Santa Fe NM 7/2011 Atmospheric CO2 Concentrations, Mauna
Loa Observatory, Hawaii, 2011-2013 from:
https://dmp.cdlib.org/documents/Sample_Plan_DataOne.pdf
Mosley, M. (2007) DAMA-Data Management Body of Knowledge Introduction and Project
Status. Retrieved from:
http://www.dama.org/files/public/di_dama_dmbok_guide_presentation_2007.pdf.
Block, W.C. & Kramer, S. (2010) The Lifecycle of Social Science Research Data:
Enabling Discovery through Metadata and Search Tools (PowerPoint slides).
Retrieved from: http://hdl.handle.net/1813/17472.
Federer, L. (2013) The Librarian as a Research Informationist: A case study. Journal of
the Medical Librarianship Association. 101(4)
Editor's Notes
Factual records used as primary sources for research (Funari 2014)
Data is a product as it’s a result of specific research (provide examples) and a source in the sense that it is an authoritative source for the pub. Being worked on as well as for the use of future research.
Discuss RDA during metadata point
Mention source and how it applies to more than just social science data mgmt.
Include notes on data management plan
National Science Foundation requires all grant proposals to include a two page data management plan.
National Institute of Health has a policy supporting data sharing which requires researchers applying for 500K or more per year to include a data-sharing plan or state why it isn’t possible (http://www.library.ucla.edu/service/data-management#datamanagementplans)
Summarize the Federer article to explain what an Informationalist is. Essenitally, this is imbeded data librarianship
Mention that they are active members of research teams.
Florida Data LibGuide:
Mention BEBR?- Library could buy datasets and put behind authentication
Mention that you saw Marcia’s Federal Data LibGuide
Acquire datasets from legislative research and state agency reports.
Discuss components of a GIS?
Find data resources for subject librarians to put in their libguides
Collaborative research consultations with subject experts for data intensive projects
Offer in-class instruction in stats and rsch methods courses. Most social sciences programs require courses of this type.