Data Services Program
Data Services Program
Data Management & Preservation
Meeting the NSF DMP Requirement
Program of Digital Scholarship
- General
About
The Data Services Program was established in the fall of 2011 to support IUPUI researchers in meeting the data management and sharing requirements of various funding agencies. Support is available for your data needs across the research life cycle through the following services and resources.
Services
- Review of National Science Foundation (NSF) Data Management Plans (send your plan to dataserv@iupui.edu)
- Allow a minimum of 3 business days for review and feedback. For the best results, please consult us as early in the proposal development process as possible.
- Allow a minimum of 3 business days for review and feedback. For the best results, please consult us as early in the proposal development process as possible.
- Individual consultations supporting
- Development of a data management plan to meet the NSF requirement
- Data management, sharing, and preservation planning
- Enhancement of existing data sets with metadata for discovery and reuse
- Ethical and legal considerations related to data sharing
- Educational workshops for faculty, staff, and students
- NSF Data Policies, February 29, 2012 (archived video available)
- Meeting the NSF Data Management Plan requirement: What you need to know, January, 2013 (Date and time, TBD)
- Data management planning and tools (upon request)
- Practical data management techniques (upon request)
- NSF Data Policies, February 29, 2012 (archived video available)
Resources
- Meeting the NSF Data Management Plan requirement
- A Guide to developing an NSF Data Management Plan (see bottom of this page)
- Guides for data management and curation, including best practices
- Data Topics Handout - Project Documentation (see bottom of this page)
- Sample data management plans from other institutions
- Open data repositories and open datasets
- Research Computing Resources @ IUPUI
Why manage your data?
Data management is a key component of the research process. Given the increasing importance and value placed on data by funding agencies, institutions, and consumers, data management planning is an important part of the reseach process. Effective data management improves the efficiency of conducting research and addresses ethical and legal obligations. Data management is beneficial to researchers because it:
- Saves you time by keeping things organized
- Increases efficiency during data analysis and writing because your processes and workflows are documented
- Facilitates data integrity through careful control of data files and versions throughout the project
- Prevents data loss
- Makes it easier to preserve and share your data
- Addresses the requirements of some funding agencies and institutions
Practical next steps in managing your data more effectively
- Keep at least 3 copies of your data on secure devices (not CD/DVD or flash drives)
- Local (ex: local hard drive)
- Semi-local (ex: departmental server, lab server, etc.)
- Remote (ex: Research File System, Box account,etc.)
- Organize your files
- Plan and use a consistent folder structure and file naming system for your data and documentation. The system should include ways to address multiple versions of files.
- Plan and use a consistent folder structure and file naming system for your data and documentation. The system should include ways to address multiple versions of files.
- Document your data
- In order for your peers to evaluate the quality and integrity of your data, the data itself and the processes used to generate/collect, process, visualize and analyze it must be clearly and thoroughly documented.
- In order for your peers to evaluate the quality and integrity of your data, the data itself and the processes used to generate/collect, process, visualize and analyze it must be clearly and thoroughly documented.
Why consider sharing your data?
- Digital Repositories Offer Many Practical Benefits (SPARC)
- Why Share Data? (UK Data Archive)
- Frequently Asked Questions on Data Sharing (NIH)
Data Repositories - Lists
- DataCite: datacite.org/repolist
- DataBib (Purdue University Distributed Data Curation Center): databib.lib.purdue.edu/
- Simmons College: oad.simmons.edu/oadwiki/Data_repositories
Data & Research in the News
NIH Public Access Policy Enforcement - November 16, 2012 Statement
Communities of Transparency: Open Data in Action (SXSW - South by Southwest 2012)
NIH Analysis of the Public Access Policy
The Famous Grouse - Do Prominent Scientists Have Biased Perceptions of Peer Review? (The Scholarly Kitchen)
NSF Goes Back to Basics to Preserve Basic Research (DOI: 10.1126/science.334.6057.756)
| Attachment | Size |
|---|---|
| NSF DMP Boilerplate_IUB-IUPUI_Fall 2012.docx | 30.25 KB |
| DSP Data Topics Handouts - Project Documentation_20120917.pdf | 212.33 KB |
Last updated by hcoates on 03/05/2013