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Doing It Your Way: Approaches to Research Data Management for Libraries April 29, 2014
NN/LM MAR Research Data Management Symposium
The Rockefeller University, New York, NY
Agenda and Learning Objectives
Time Topics
9:30 – 9:45 AM Welcome
9:45 – 9:55 AM Intro to the Case Study
• gain an understanding of challenges surrounding data management in the
research setting
• evaluate a “real-world” data management scenario and recommend
appropriate services and resources
9:55 – 10:25 AM Best Practices: Data Collection & Organization
• learn the importance of organizing data including directory structures, files
and file contents (datafiles)
• learn best practices for file and variable naming and tracking their work
• learn about strategies to organize research data and the importance of
version control, consistency, standards, and tools to help them
10:25 – 10:55 AM Documentation and Metadata
• create a readme file and data documentation
• describe application of metadata and where to find standards
10:55 – 11:10 AM Break
11:10 – 11:35 AM Backup/Storage/Security
• describe issues and procedures related to data access, security, backup and
storage
11:35 AM – 12:05 PM Sharing/Preservation/Licensing
• identify barriers to data management and sharing
• describe appropriate repositories for data sharing
12:05 – 12:15 PM Closing the Case Study
12:15 – 12:35 PM Environmental Scan
12:35 – 12:45 PM Keeping Up with Data Management
• describe resources for current awareness including…
• discover resources for additional data management including DMPTool, etc
etc
12:45 – 1:00 PM Wrap up
Doing It Your Way: Approaches to Research Data Management for Libraries
NN/LM MAR Research Data Management Symposium
http://guides.nnlm.gov/datamgmt2014
Using a Case Study to Teach Data Management to Librarians http://dx.doi.org/10.7910/DVN/29213
Sherry Lake, Research Data Services, University of Virginia Library
Andrea Denton, Research and Data Services, Claude Moore Health Sciences Library, University of Virginia
The	
  Case	
  
Dietrich, Dianne (2012) "Biophysics - Cornell University," Data
Curation Profiles Directory: Vol. 4, Article 2. DOI:
http://dx.doi.org/10.5703/1288284314999.
Worksheets	
  
Data	
  Collec*on	
  and	
  
Organiza*on	
  
Use	
  consistent	
  
data	
  
organiza*on	
  
Assign	
  
descrip*ve	
  
filenames	
  
Documenta*on	
  and	
  
Metadata	
  
Define	
  the	
  
contents	
  of	
  
your	
  data	
  files	
  
Provide	
  
documenta*on	
  
Backup	
  
Storage	
  
Security	
  
Protect	
  your	
  
data	
  
Protect	
  your	
  
respondents	
  
Sharing	
  
Preserva*on	
  
Licensing	
  
Preserve	
  
informa*on	
  
Share	
  your	
  
research	
  
Addi0onal	
  Worksheets	
  
Best Practices in Data Collection and Management Workshop
The	
  Workshop	
  
•  Description: Second day of a two-day research data
management symposium
•  Goal: To prepare librarians to teach faculty and graduate student
researchers about data management best practices
•  Goal: To illustrate opportunities for library involvement in data
management
•  Length: 3.5 hours
•  Method: Case-based with hands-on activities
•  Attendees: Academic librarians, hospital and medical librarians,
and special librarians
48	
  
16	
  
14	
  
0	
  
10	
  
20	
  
30	
  
40	
  
50	
  
60	
  
Exceed	
  Expecta*ons	
   Met	
  Expecta*ons	
   Did	
  not	
  Meet	
  
Expecta*ons	
  
N/A	
  
Workshop	
  Ra0ng	
  
Workshop	
  Comments	
  
•  Hands-on session with Andrea & Sherry was muy fabuloso.
•  Most meaningful: hands-on training and future planning with
Lake & Horne Denton's workshop; the practical tips doing the
case study; Getting a systematic approach to how libraries can
present data management to their researchers.
•  Working through the case study and working in groups was very
helpful.
•  I think we would have benefited from having more time to do the
case study or if it was distributed at the end of the first day,
people could review it before.
•  The case study was interesting-but seemed a little bit basic.
•  The hands-on Tuesday session was VERY helpful. However, I
thought the example case was more bench science than clinical
which leaves some unanswered questions about clinical data
extraction, management, etc.

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Using a Case Study to Teach Data Management to Librarians

  • 1. Doing It Your Way: Approaches to Research Data Management for Libraries April 29, 2014 NN/LM MAR Research Data Management Symposium The Rockefeller University, New York, NY Agenda and Learning Objectives Time Topics 9:30 – 9:45 AM Welcome 9:45 – 9:55 AM Intro to the Case Study • gain an understanding of challenges surrounding data management in the research setting • evaluate a “real-world” data management scenario and recommend appropriate services and resources 9:55 – 10:25 AM Best Practices: Data Collection & Organization • learn the importance of organizing data including directory structures, files and file contents (datafiles) • learn best practices for file and variable naming and tracking their work • learn about strategies to organize research data and the importance of version control, consistency, standards, and tools to help them 10:25 – 10:55 AM Documentation and Metadata • create a readme file and data documentation • describe application of metadata and where to find standards 10:55 – 11:10 AM Break 11:10 – 11:35 AM Backup/Storage/Security • describe issues and procedures related to data access, security, backup and storage 11:35 AM – 12:05 PM Sharing/Preservation/Licensing • identify barriers to data management and sharing • describe appropriate repositories for data sharing 12:05 – 12:15 PM Closing the Case Study 12:15 – 12:35 PM Environmental Scan 12:35 – 12:45 PM Keeping Up with Data Management • describe resources for current awareness including… • discover resources for additional data management including DMPTool, etc etc 12:45 – 1:00 PM Wrap up Doing It Your Way: Approaches to Research Data Management for Libraries NN/LM MAR Research Data Management Symposium http://guides.nnlm.gov/datamgmt2014 Using a Case Study to Teach Data Management to Librarians http://dx.doi.org/10.7910/DVN/29213 Sherry Lake, Research Data Services, University of Virginia Library Andrea Denton, Research and Data Services, Claude Moore Health Sciences Library, University of Virginia The  Case   Dietrich, Dianne (2012) "Biophysics - Cornell University," Data Curation Profiles Directory: Vol. 4, Article 2. DOI: http://dx.doi.org/10.5703/1288284314999. Worksheets   Data  Collec*on  and   Organiza*on   Use  consistent   data   organiza*on   Assign   descrip*ve   filenames   Documenta*on  and   Metadata   Define  the   contents  of   your  data  files   Provide   documenta*on   Backup   Storage   Security   Protect  your   data   Protect  your   respondents   Sharing   Preserva*on   Licensing   Preserve   informa*on   Share  your   research   Addi0onal  Worksheets   Best Practices in Data Collection and Management Workshop The  Workshop   •  Description: Second day of a two-day research data management symposium •  Goal: To prepare librarians to teach faculty and graduate student researchers about data management best practices •  Goal: To illustrate opportunities for library involvement in data management •  Length: 3.5 hours •  Method: Case-based with hands-on activities •  Attendees: Academic librarians, hospital and medical librarians, and special librarians 48   16   14   0   10   20   30   40   50   60   Exceed  Expecta*ons   Met  Expecta*ons   Did  not  Meet   Expecta*ons   N/A   Workshop  Ra0ng   Workshop  Comments   •  Hands-on session with Andrea & Sherry was muy fabuloso. •  Most meaningful: hands-on training and future planning with Lake & Horne Denton's workshop; the practical tips doing the case study; Getting a systematic approach to how libraries can present data management to their researchers. •  Working through the case study and working in groups was very helpful. •  I think we would have benefited from having more time to do the case study or if it was distributed at the end of the first day, people could review it before. •  The case study was interesting-but seemed a little bit basic. •  The hands-on Tuesday session was VERY helpful. However, I thought the example case was more bench science than clinical which leaves some unanswered questions about clinical data extraction, management, etc.