The document outlines a 4 unit project plan to develop the Data LifeCycle Metrics (DLM) project. Unit 1 involves field research through surveys, interviews and focus groups to determine requirements for DLM. The output is metrics design and requirements. Unit 2 extends existing usage tracking capacity and the output is a COUNTER-based usage API. Unit 3 formulates test metrics and extends the technology with the output being a DLM application. Unit 4 develops tools for the community to use metrics with the outputs being a DLM Reports application and widgets, and a bibliometric analysis report.

2. COLLECT
PLAN
PUBLIS
H
GET
CREDIT Making Data Count

3. MAKING DATA COUNT

4. Make Data Count Project Plan
Unit 1
DLM Field Research
What: Surveys,
interviews, focus
groups to determine
requirements for
DLM
Output: metrics
design &
requirements
Unit 2
Data Usage
Tracking
What: Extend
DataONE usage
tracking capacity
Output: COUNTER-
based usage API
Unit 3
Data Activity
Aggregation
What: Formulate a
set of test metrics,
extend technology
Output: DLM
application
Unit 4
DLM Integration &
Presentation
What: Develop tools
for the community to
use metrics
Output: DLM Reports
application & widgets,
Bibliometric Analysis
What: Analyze, write
up results from project
Output: final report &
recommendations

5. Make Data Count Project Plan
Unit 1
DLM Field Research
What: Surveys,
interviews, focus
groups to determine
requirements for
DLM
Output: metrics
design &
requirements
Literature Review
Focus Groups
• DataONE All Hands Meeting
• Society for Neuroscience
• American Geophysical Union
Online Surveys
• Researchers
• Data managers

7. 247 researchers responded
Country
Institution
Role
Discipline

8. When looking for public data to use, how likely are you to
search in each of the following ways?

9. How frequently do you use data from public sources to
accomplish each of the following?

10. How interested you would be to know each of the following
about the impact of your data?

11. Page views are not valued by
anyone.
There is little social media activity
to capture.

12. Citations are the most valuable
metric…
…but they suffer from technical and
cultural obstacles.

13. Downloads are both tractable and
valued.
Kratz & Strasser, 2015, Researcher perspectives on
publication and peer review of data. PLOS ONE.

14. COLLECT
PLAN
PUBLIS
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CREDIT Making Data Count
http://dmp.cdlib.org/
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