Data Management Plan: Hobo Data Collection  

1. Data Collected, Formats and Standards


	Data collected during the course of this investigation includes temperature, time stamp, and temperature.  Data is produced as real numbers and consists of light intensity measured in lumens, temperature measured in degrees centigrade, and time recorded in a 24 hour format. Instrument or collection consists of interface of a mobile, self contained pendant-style data logger with a personal computer, import of data, and construction of a sqlite3 database.  Data sampling includes use of three data loggers.  Data are interpreted over a 5 hour period, from approximately 11 am to 2:30 pm, with a 6 hour acclimation period and 1 hour experimental period. Quality control measures involve standardization of variables except for experimental measures, and processing of data for outliers of expected temperature range using Python IDLE graphical interface. Final derivative products include 15,000 rows of logged data, a QA/QC range script written in Python,  and the analysis of the final data. Data exists as a .db3 database package for sqlite. Descriptive metadata conforming to Ecological Metadata Language (EML) is generated using Morpho metadata editor.

	Data generated includes 15,000 rows of tabular data recording temperature logs reflecting experimental measures.  Data is captured via the HOBO data logger and imported via HOBO data logger proprietary software, then exported to open source SQL Studio. Naming conventions follow column headings supplied via the HOBO software package. Data collection is set to x measurement intervals.

	File format is saved as .db3, native to SQLite studio and appropritate for small databases  of less than one Terabyte.

	Ecological Metadata Langage is chosen as a reflection of the subject matter of the course content, Environmental Information Management, and the intended purpose of the Hobo Data logger, which is environmental monitoring.  

	Contextual details for the experiment include the purpose of the experiment, the location of the experiment, and duration of the experiment. 


2. Data Storage and Preservation


	The long-term strategy for curating and archiving the data includes production of multiple copies of the data.  Two copies exist on physical machines in the information technology training lab; one copy exists on a portable Flash drive.  In addition to physical storage media, cloud based storage is available.  Upon importing to a SQLite Database, the .db3 database was exported and zipped.  The resultant zipped file is then uploaded to Google Drive for secure storage.  An appropriate repository could be dryad, if the data were of significant value to allocate funds to long-term preservation.  Long-term preservation and back-up is puruant to Google Drive backup policies.


3. Dissemination Methods


	Data will be made available on Friday, June 7, 2013 by publishing the data to the Web via Google Drive.  Anyone with the link will be able to download the compressed .db3 database. Expertise for making the data available is a minimum and requires a browser capable of accessing the Internet. Transformations necessary to prepare data for preservation / data sharing include production of comma separated value output for long-term access to the data format. EML metadata will be zipped with the database. Rights will be open access but restricted to use for educational purposes, as data is not appropriate for any other use. 


4. Policies for Data Sharing and Public Access


	No permission restrictions will be placed on the data. There are no ethical or privacy issues.  No IRB protocol was necessary.  Intellectual property rights are waived, the data is in the public domain. Intended use of the data is for educational purposes only.  There are no plans to publish prospective findings. 


5. Roles and Responsibilities


	Responsibilities for managing the data are those of each individual investigator associated with the project.  Technical aspects and training requirements are the responsibility of instructors of the 2013 Walter E. Dean Environmental information Management Institute.  The investigator is responsible for data management and monitoring the data management plan.  Adherence to the data management plan will be demonstrated upon conclusion of the course on Sunday, June 9 2013 following finalization of the data analysis and publication of data to the Web. Google will maintain access to the data in the event that the investigator can no longer take responsibility. 



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