Data Management Training Syllabus
From Earth Science Information Partners (ESIP)
Academic Subject Librarians
- For academic subject librarians who have not had the opportunity to gain in depth knowledge of data management/curation concepts or to have hands on experience with the related tasks. Additionally, the academic organization might not yet have plans to implement dedicated positions to support data management/curation activities. As a result, the subject librarians are viewed as partners who can help in supporting the academic research environment, including the need to complete data management plans.
Proposed Training Topics - Revision: 20160503
- Data:
- What is it? (A definition).
- What are the different types?
- Both digital and analog.
- What are the sources?
- Data Management Plan (DMP):
- What is it? (A definition).
- Why is DMP needed? (Motivation/Rationale for DMP)
- National mandates.
- Funder/sponsor requirements.
- Open research benefits.
- Social responsibilities.
- DMP versus Other Academic Activities:
- Research Life Cycle.
- Scholarly Communication.
- Elements of DMP:
- Data Description.
- Data Acquisition Process/Methodology.
- Audience.
- Data Format.
- Versioning.
- File Structure and Naming Convention.
- Metadata and Documentation.
- Examples of standards per discipline.
- Policies:
- Ownership / Copyright / Intellectual Property.
- Access and Reuse.
- Privacy / Confidentiality / Security.
- Embargo Period.
- Roles and Responsibilities.
- Long Term Sustainability and Preservation.
- Budget and Resources.
- Data Archives and Repositories.
- Storage and Backup.
- Selection and Quality.
- Compliance of DMP.
- Resources/Tools for DMP:
- DMPTool by California Digital Library.
- Concerns regarding DMP.
- Other Related Topics:
- Data Publication.
- Data Citation / Attribution.
- Identifiers.
- ORCID.
- Data Processing / Analysis / Visualization / Presentation.
- Quality of Data and Data Stewardship.
- Continued Training and Education.
- Conferences and Communities to Get Involved With.
- Digital Preservation vs. Data Curation vs. Digital Stewardship.
