A panel of presenters in this two-part webinar series shared their experiences about how academic libraries are taking the lead in developing cross-campus collaborations in establishing research data committees to spearhead institutional efforts related to data stewardship and digital projects. This interactive session lead participants through the various steps needed in order to initiate a similar effort within their institutional context. Part 2: Launching your collaboration Learning Objectives: Identify best practices and lessons learned for working with established committees who are working on broad-scale projects and programs Evaluate different institutional models to compare and customize for different academic environments Analyz...
Slides from a presentation discussing the development of the UNCG University Libraries' research dat...
In 2008 the University of Minnesota Libraries formed the E-science and Data Services Collaborative (...
Understanding the processes of research design and of data collection, organization, storage, preser...
A panel of presenters in this two-part webinar series shared their experiences about how academic li...
A panel of presenters in this two-part webinar series shared their experiences about how academic li...
Objectives: The director of the university health sciences library (DHSL) and the new director of re...
Library professionals with data responsibilities often collaborate on data-related support with fell...
Slides from a presentation discussing the UNCG University Libraries' research data management servic...
The University of Connecticut Libraries (UCL) has long provided aspects of research data assistance ...
Objective: To describe the activities of the University of Massachusetts Amherst Libraries’ Data Wor...
Researchers must now prepare plans for data management and curation for grant proposals. Librarians...
Objective: New York University (NYU) Libraries provide research data services to diverse communities...
As the research data management “grand challenge” continues to vex universities, academic libraries ...
In January of 2011, the National Science Foundation began requiring that all proposals for research ...
In January of 2011, the National Science Foundation began requiring that all proposals for research ...
Slides from a presentation discussing the development of the UNCG University Libraries' research dat...
In 2008 the University of Minnesota Libraries formed the E-science and Data Services Collaborative (...
Understanding the processes of research design and of data collection, organization, storage, preser...
A panel of presenters in this two-part webinar series shared their experiences about how academic li...
A panel of presenters in this two-part webinar series shared their experiences about how academic li...
Objectives: The director of the university health sciences library (DHSL) and the new director of re...
Library professionals with data responsibilities often collaborate on data-related support with fell...
Slides from a presentation discussing the UNCG University Libraries' research data management servic...
The University of Connecticut Libraries (UCL) has long provided aspects of research data assistance ...
Objective: To describe the activities of the University of Massachusetts Amherst Libraries’ Data Wor...
Researchers must now prepare plans for data management and curation for grant proposals. Librarians...
Objective: New York University (NYU) Libraries provide research data services to diverse communities...
As the research data management “grand challenge” continues to vex universities, academic libraries ...
In January of 2011, the National Science Foundation began requiring that all proposals for research ...
In January of 2011, the National Science Foundation began requiring that all proposals for research ...
Slides from a presentation discussing the development of the UNCG University Libraries' research dat...
In 2008 the University of Minnesota Libraries formed the E-science and Data Services Collaborative (...
Understanding the processes of research design and of data collection, organization, storage, preser...