Proposal: PDF on eScholarship
Timeline: 1 Oct 2014 - 1 Oct 2015
Project Communication
- Internal documentation: Google docs folder
- Public documentation: MDC Github pages and mdc.lagotto.io
- Progress update meetings with entire team at the end of each work unit via conference call
- Public announcements: blogs and news platforms
- Social media: Twitter
Personnel
- CDL
- Patricia Cruse (5%), Project oversight
- John Kratz (in-kind), Field research
- Carly Strasser (25%), PM for field research
- NCEAS / DataONE
- Amber Budden (in-kind), DataONE Community Engagement
- Matt Jones (in-kind), DataONE oversight, Manage development
- Dave Vieglais (in-kind), DataONE oversight
- Developer (NCEAS, TBD) (17%), DataONE integration
- PLOS
- John Chodacki (in-kind), Product Director, PLOS oversight
- Martin Fenner (100%), Technical Lead, DLM developer
- Jennifer Lin (50%), PM
- Kristen Ratan (in-kind), Publisher, PLOS oversight
High-level Project Summary
- design, develop, and prototype a reference model for data metrics
- test mechanisms of automatic tracking
- explore ways in which the raw DLM data be delivered to drive data discovery across data types and research questions
- prototype a flexible report for funders, institutions, and researchers to share DLM results.
Work Components
1. DLM Field Research (Oct-Jan)
- What: Surveys, interviews, focus groups to determine requirements for DLM
- Who: CDL with PLOS input
- Input: list of questions/things we want to know from the community
- Output: metrics design & requirements
2. Data Usage Tracking (Nov-Feb)
- What: Extend DataONE usage tracking capacity
- Who: DataONE with PLOS input
- Input: existing usage API
- Output: extended usage API (COUNTER)
3. Data Activity Aggregation (Dec-Apr)
- What: Formulate a set of metrics to text; extend technology
- Who: PLOS
- Input: design & requirements
- Output: DLM application
4. DLM Integration & Presentation (May-Jun)
- What: Develop tools for the community to use metrics
- Who: PLOS
- Input: ALM Reports source code, DLM data
- Output: DLM Reports application & widgets
Bibliometric Analysis (July-Sep)
- What: Analyze, write up results from project
- Who: PLOS, CDL, DataONE
- Input: data design and collection results
- Output: final report and recommendations