![WHAT IS DATA CURATION?
DDI Combined
Life Cycle Model
[2004]
Source: DDI Structural Reform Group. “DDI Version 3.0 Conceptual Model." DDI
Alliance. 2004. http://www.icpsr.umich.edu/DDI/committee-info/Concept-Model-WD.pd](https://image.slidesharecdn.com/schmitt-katie-datacuration-140223132249-phpapp01/85/Foundations-of-Data-Curation-Final-Project-3-320.jpg)
![BEST PRACTICES - PROVENANCE
prov·e·nance [ próvvənənss ]:
the place of origin of something
the source and ownership history
Data Provenance
Instrument characteristics, calibration data and method of discovery
Processing algorithms
Changes in location or instrumentation
Changes in ownership of the data
Where did the data come from and how did it get here?](https://image.slidesharecdn.com/schmitt-katie-datacuration-140223132249-phpapp01/85/Foundations-of-Data-Curation-Final-Project-4-320.jpg)
Foundations of Data Curation Final Project
- 1. INTRODUCTION TO DATA CURATION A presentation to the Illinois Association of Astronomers and Astrophysicists (IAAA) during the 2013 Conference in Chicago, IL. By Katie Schmitt
- 2. WHAT IS DATA? "A reinterpretable representation of information in a formalized manner suitable for communication, interpretation, or processing. Examples of data include a sequence of bits, a table of numbers, the characters on a page, the recording of sounds made by a person speaking, or a moon rock specimen“ – OAIS reference model, 2012 Types of Data: Experimental Samples Reports Maps Websites
- 3. WHAT IS DATA CURATION? DDI Combined Life Cycle Model [2004] Source: DDI Structural Reform Group. “DDI Version 3.0 Conceptual Model." DDI Alliance. 2004. http://www.icpsr.umich.edu/DDI/committee-info/Concept-Model-WD.pd
- 4. BEST PRACTICES - PROVENANCE prov·e·nance [ próvvənənss ]: the place of origin of something the source and ownership history Data Provenance Instrument characteristics, calibration data and method of discovery Processing algorithms Changes in location or instrumentation Changes in ownership of the data Where did the data come from and how did it get here?
- 5. BEST PRACTICES - METADATA Used to enable data discovery Metadata standards vary per data repository In general, metadata must be: Consistent Written for humans In a digital format
- 6. BEST PRACTICES PRESERVATION The best format is Platform and Vendor-independent Non-proprietary Stable Open Well-supported Unencrypted Uncompressed Self-describing Source: Week 4 Slides by Ruth Duerr, LIS590DCL
- 7. BEST PRACTICES – ACCESS Constant balance between preservation and access Similar to preservation format Master v. Access
- 8. TYPES OF REPOSITORIES Domain Established Often connected to a University Usually provide high levels of service Specialized by discipline Institutional Excel in basic service New to the data management realm.
- 9. A FEW RESOURCES… Choudhury, G. S., Palmer, C. L., Baker, K. S., & DiLauro, T. (2013, January). Levels of services and curation for high-functioning data. Presented at the International Digital Curation Conference, Amsterdam, Netherlands. Miles, S., Deelman, E., Groth, P., Vahi, K., Mehta, G., & Moreau, L. (2007). Connecting Scientific Data to Scientific Experiments with Provenance. e-Science and Grid Computing, IEEE International Conference, 179-186. http://dx.doi.org/ 10.1109/ESCIENCE.2007.22 Renear, A. H., Sacchi, S., & Wickett, K. M. (2010). Definitions of dataset in the scientific and technical literature. Proceedings of the American Society for Information Science and Technology, 47(1), 1–4