The document outlines a midterm project aimed at developing and utilizing a data interview tool to gather essential information from a researcher for constructing a data management plan. It details the interview process, key topics to discuss regarding the researcher's data practices, and provides guidance on presenting findings and managing research data throughout its life cycle. Additionally, it includes example questions and resources for preparing the interview and crafting the data management plan.

1. DATA INTERVIEW
WHAT IS IT AND HOW DO YOU DO IT?
JULIE GOLDMAN
2014

2. Midterm Project
develop and use a data interview tool to complete a data interview
with a researcher
document the research project, data practices, needs, and
challenges
write a data management plan based off these interviews and your
research into tools and resources that could support this project
present your interview tool, results and the data management plan
to the class in a maximum 20-minute presentation
describe the researcher's day-to-day routine and discuss
their data management practices

3. What is a Data Interview?
librarian interviews a researcher to draw out information
in order to construct a data management plan (DMP)
questions should focus on the data story, purpose, and
life span
address the components of the simplified data
management plan
goal is to acquire as much information as possible from
the researcher so that the librarian can begin to
implement a management plan or data curation

4. Data Life Cycle

6. Interview Tools
DCC: Digital Curation Center
DMPonline
DMPTool
Johns Hopkins University Data Management Plan
Purdue Data Information Literacy Interview
Instruments
University of Virginia Data Interview Initiative

7. Who to Interview?
you are accountable for identifying and arranging
an interview with a researcher
the interview should be about 30 minutes long
we can help you identify a researcher
think about your personal connections!

8. OHIO STATE UNIVERSITY
PROJECT
NAME
DATE PLACE
FALL 2013
USING ZEBRAFISH AS A MODEL SYSTEM FOR STUDYING
MOTOR AXON GUIDANCE & MOTONEURON DISEASE

9. CHRISTINE BEATTIE LAB
NEUROSCIENCE GRADUATE STUDIES PROGRAM

10. Interview Instrument
(unasked question)
→ follow-up question
Overview:
1. As a research focused university what kind of NIH grant do you have?
2. What other funding sources do you have?
3. How long has this research project been going on?
4. What is the overarching purpose of this research?
Research Process:
5. What is your role in the research process?
6. (What kinds of experiments are you doing with the zebrafish?)
7. Who else works on this project?
Data:
8. (What types of data products are being produced?)
9. What file formats are your data produced in?
10. (How is data analyzed?)
→ You have a lot of digital files being created, what file formats are those generated in?
→ Is there non-digital data?
Organization:
11. How is the data managed?
12. Does your lab have naming conventions for files/data?
Storage:
13. Where and how long is (everything) data and notebooks stored?
14. What kind of backup and security protocols does your lab have?
Sharing:
15. What is shared publicly and with the neuroscience community?
16. (Who is allowed access to the data?)
Access:
17. Are there security concerns within the lab?
18. Who owns and is responsible for the research data?
My Interview Instrument
research on researcher’s lab
NECDMC: research cases
Johns Hopkins University Data
Management Plan template

11. Interview Tips
use existing knowledge and similar case studies
do research on your researcher and their research
develop questions based on:
the what: science
the how: research process
the where: school or location
use follow-up questions during the interview

12. Follow Up
still have questions?
email!
have a good working
relationship with them?
set-up another meeting!

13. My Data Management Plan

14. DMP Tips
topics discussed in class
the data story researcher describes
use the 7 Modules for Managing Research Data
focus on the main issues of the research project
ex: data storage, backup, preservation

15. End Product: Interview
Instrument
instrument is semi-structured
questions covering all stages of the
researcher’s project life cycle
data management planning
practices before project begins
during data collection
after the project
questions combine model and self
created questions based on the
researcher’s project

16. End Product: DMP
data management plan is
two pages
provides a resource, plan, or
recommendation for each of
the questions covered in the
interview instrument
covers the management of
the project’s data over its
entire life cycle

17. End Product: Presentation
present your interview tool,
results and the data
management plan
describe the researcher's
day-to-day routine and
discuss their data
management practices
20-minutes

18. QUESTIONS?
REMEMBER…
THIS IS ALL ON THE WEBSITE