Data Interview and Data Management Plans
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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.
Data Interview and Data Management Plans
- 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
- 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