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Curriculum and Topics of Study for DLF ERN 2017

Course Description (Objectives, Goals, and Expectations)

The DLF eResearch Network is a community of practice focused on implementing research data management and digital scholarship services and engaging in shared skill development, networking, and collaboration. In providing the eRN experience, DLF aims to create a self-reliant, mutually supportive community: a network of institutions and individuals engaged in continuous learning about research data management, digital scholarship, and e-research support.

Overall Course Learning Objectives:

  • Build skills that will enhance local data services and digital scholarship support

  • Develop a local strategic agenda for data services and digital scholarship support that is action-oriented and based in practice.

  • Work on a consultation project that enables a deep dive into a local initiative or pressing question related to data services or digital scholarship.

  • Connect with a community of practice engaged in program planning and deployment of data services and digital scholarship.

Structure of the Course

This year's eRN curriculum is designed to be flexible and adaptable. During our first eRN session, each participant will build an eResearch Services Roadmap that will help them identify learning goals and structure their work for the rest of the semester. Each subsequent month's meeting is assigned a broad topic, with each participant choosing an element of the topic that most benefits their goals.

Each eRN session typically consists of a short presentation from a topical expert and small group discussions. eRN participants will prepare for each session by completing a related assignment. The goal of eRN assignments is to help move a local initiative forward in a practical way; participants should design their assignments to fulfill their learning goals. This syllabus provides assignment ideas for each topic, and eRN faculty will also be available to provide feedback on alternative assignment ideas.

Topic 1: Building an eResearch Services Roadmap

Key concept: How to think about environmental scans and defining RDM, Digital Scholarship, or other eResearch-related services.

Session Learning Objectives:

  • Setting up objectives and goals for eResearch and eRN

  • Establishing 3 or 4 most pressing needs and interests for your group

  • Describing and drafting project idea and scope for consultation

To prepare for our first session, please briefly review the following resources

Optional resources

Suggested In-Class Assignments and Activities:

  • Begin composing an environmental scan/survey for digital scholarship awareness and partners

  • Draft your roadmap for RDM services

  • Plan a meeting with/interview data stakeholders: Central IT, VPR, Office of Sponsored Programs, data-centric disciplines, research support services/centers (like stats consulting, research design help)

  • Identify challenges with data or data needs on campus

Topic 2: Advocacy and Promotion

Key concept: How to think about building advocates, partnerships internal/external, and promoting data literacy or other eResearch-related competencies.

Session Learning Objectives:

  • Establishing an outreach connection for one eResearch idea

  • Brainstorming a local workshop idea

  • Identifying eResearch competencies that can be built into partnerships and services

Suggested Readings:

Suggested Assignments:

Topic 3: Research Funding, Planning, and Proposals

Key concept: How to think about planning new services, data management planning, or pitching your ideas for funding.

Learning Objectives:

  • Understanding the requirements landscape for data or digital scholarship

  • Finding your voice and drafting a grant proposal/letter of interest or scoping and defining a data management plan

Suggested Readings:

Suggested Assignments:

Topic 4: Collections as Data

Key concept: How to think about applying technical and computational skills to data and digital collections. Potential topics include: Digital Humanities, Data Visualization, Digital Curation

Learning Objectives:

  • Learning to apply digital scholarship methods (e.g. visualization, text mining, spatial analysis) to digital collections

  • Understanding the role of machines, scripting, and programming in data services and digital scholarship

Suggested Readings:

Suggested Assignments:

Topic 5: Data Discovery/Metadata and Reusability

Key concept: How to think about making data findable and describing digital scholarship activities and services for web-scale discovery.

Learning Objectives:

  • Understanding the common metadata schemes and profiles for data and digital scholarship services

  • Becoming an advocate for metadata and its role in discovery and preservation

Suggested Readings:

Suggested Assignments:

Topic 6: Assessment (Metrics for success with Data Services and Digital Scholarship)

Key concept: How to think about reporting on your services and establishing baseline metrics to quantify success.

Learning Objectives:

  • Building a plan for measuring the outcomes of your services

  • Learning how to set expectations for metrics?

  • Evaluating institutional goals and aligning your analytics program with these goals

Suggested Readings:

Suggested Assignments:

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