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My Data Entity

My Data Entity. Erica Johns Summer 2012 NCAR . http://cloudtimes.org/2012/05/07/latest-trends-in-big-data-buzz /. History with Data: from an undergraduate student, horticulture scientist perspective. The effect of low level electromagnetic fields on seed growth Scientific Research Plan

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My Data Entity

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  1. My Data Entity Erica Johns Summer 2012 NCAR http://cloudtimes.org/2012/05/07/latest-trends-in-big-data-buzz/

  2. History with Data: from an undergraduate student, horticulture scientist perspective The effect of low level electromagnetic fields on seed growth Scientific Research Plan Experiment: • 5 groups of 100 phaseolus vulgaris seeds • 20 seeds of each group potted in one gallon pots • 80 seeds of group petri dish • Home control • Travel control • SC1= stone chamber 30 minutes • SC2= stone chamber 70 minutes • CC1= corbelled chamber 70 minutes Data Collection • Germination Rate • Shoot Height • Leaf Area Index • Dry Weight Data Analysis

  3. CC1: Corbelled Chamber • Positively charged ions sink to the floor • Negatively charged ions rise • Separation of charges creates electromagnetic • pulsing within the airspace • Pulsing is measure by Electrostatic voltmeter

  4. Container Grown Data

  5. Germinating seeds: continuing growth under adverse conditions

  6. History with Data: from a working horticulture scientist perspective Trial Garden Research • Data collection and recording • Data input: Access versus Excel • Plant Ratings • Type of data: * genus, species, cultivar, source, common name, unique ID, botanical family * flower date * height (multiple data points) * spread * flower color * foliage color

  7. Trial Garden Data Data Input: Access Data Collection: sophisticated!

  8. Example of visible data

  9. History with Data: from a graduate student, information scientist perspective UNCA Special Collections: HACA maps and collection • Provenance • Metadata creation and planning • Format modification • Unique ID planning/creation • Data input practice/mishaps • Transferal of Access metadata to Frontpage

  10. History with Data: current concepts • Provenance • Metadata standards and use • Controlled Vocabulary • Organization of Data • Levels of Description • Information Retrieval • Data Indexing

  11. Future with Data: concepts into practice Understanding of data lifecycle components, lacking some applications • Look forward to: • format modification • file conversions • data migration • further data description • data ingestion • data appraisal • data sharing, access, and reuse techniques • data encoding

  12. Any Questions? Erica Johns: erica.m.johns@gmail.com http://cloudtimes.org/2012/05/07/latest-trends-in-big-data-buzz/

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