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Transcript of Your Da ta Ma na g ing€¦ · 01. d a ta a b out other d a ta (e.g . la b els , titles , units ,...
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ManagingYour DataWhat to do when a research project ends
Sandi Caldrone
Purdue University Research Repository (PURR)
April 22. 2020
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To-DoCapture metadata
Consider publication
Back up and archive
Update your resume or CV
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CaptureMetadata 01
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data about other data (e.g. labels, titles,units, tags, etc.)
(noun)
Metadata
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TitleAuthor(s)AbstractKey termsIf sharing or publishing
LicenseCitation
Dataset Metadata
For example: Netherly, T. G., Trout, M. E., Bell, E., Buckmaster, D. (2019). Combined annual crop yields and dailyweather data for Midwest counties 1970-2015. Purdue University Research Repository. doi:10.4231/5P9A-KQ03
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For example: Netherly, T. G., Trout, M. E., Bell, E., Buckmaster, D. (2019). Combined annual crop yields and dailyweather data for Midwest counties 1970-2015. Purdue University Research Repository. doi:10.4231/5P9A-KQ03
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a text file provided by the author with thebackground information necessary forsomeone else to understand and use thedataset
(noun)
ReadMe File
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1. RESEARCHDESCRIPTION
2. INSTRUMENTS ANDSOFTWARE USED
3. FILE MANIFEST 4. DATA DICTIONARY
Purpose, data collectionmethods, analyses conducted,and any connection to largerprojects.
All tools used to collect andanalyze the data includinginstrument calibrations andsoftware versions.
List with a brief description ofeach file (or group of files), filetype, and the software used tocreate it.
Define all column labels,abbreviations, acronyms, keyterms, and units ofmeasurement.
What to include in a ReadMe file?
More information on creating a ReadMe file: https://purr.purdue.edu/kb/metadata
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ReadMeexample datadictionary
Peel, S., Haas, M. H., Turco, Jr, R. F. (2016). Biological, chemical and flowcharacteristics of five river sampling sites in the Wabash River watershed nearLafayette, Indiana – 2015. Purdue University Research Repository. doi:10.4231/R7RR1W7B
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ConsiderPublication02
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PUBLISH
Public goodValidationFunder or publisherrequirementsAuthor credit
To publish or protect?
PROTECT
ConfidentialityIntellectual propertyLegal restrictions
More information on sensitive data: http://guides.lib.purdue.edu/sensitivedata
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CheckoutThe Teaching withPURR Data LibGuidehas a directory ofsample publisheddatasets
LibGuide: https://guides.lib.purdue.edu/c.php?g=899358
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Login with Purdue credentials
Create a private project space
Upload data files, ReadMe file, and any other supporting
documents to your private space
Use PURR's publication wizard to add publication metadata (title,
description, etc.)
Submit for review by the PURR team
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PURR Publication Process
Step-by-step video tutorials: https://purr.purdue.edu/guides
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Back Up andArchive03
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save(passive)
preserve(active)
Don't just save. Preserve.
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a series of managed activities, policies,strategies and actions to ensure theaccurate rendering of digital content foras long as necessary, regardless of thechallenge of media failure and technological change.
(noun)
Digital Preservation
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1. TEXT 2. SPREADSHEETS
3. IMAGES 4. AUDIO
plain text, comma separatedvalues, tab delimited,OpenDocument Text, PDF/A
OpenDocument spreadsheets,comma separated values, tabdelimited
TIFF, JPG 2000 WAVE
Archival File Formats
More recommendations: https://purr.purdue.edu/legal/file-format-recommendations
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When it comes time to share, publish, or archive your data, save files
in two formats: the proprietary format native to the software, and an
archival format like plain text, csv, or tiff.
Also, be sure to keep a record of the software and version you used
to create your files.
If you're using proprietary software...
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3 2DIFFERENT KINDS OF
STORAGE
COPIES OFIMPORTANT FILES
1AT A REMOTE
LOCATION
3-2-1 Back Up Strategy
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Keeping your USB drive next to your PC
Backing up Google Drive files to another
folder on Google Drive
Assuming ITaP is doing it for you
Only keeping 1 version of active files
Setting an auto back-up and not checking it
Not a back up
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Update YourResume or CV04
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KNOWLEDGE
Collection methodsSecurity or lab protocolsSpecific tools andsoftware
What have you gained? Be specific.
EXPERIENCE
CollectionOrganizationCleaningAnalysisVisualizationPublicationPreservation
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AuthorStatsavailable for allPURR publications
Netherly, T. G., Trout, M. E., Bell, E., Buckmaster, D. (2019). Combined annual cropyields and daily weather data for Midwestcounties 1970-2015. Purdue UniversityResearch Repository. doi:10.4231/5P9A-KQ03
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Step-by-step video tutorials on using PURR: purr.purdue.edu/guides
Sensitive data LibGuide: guides.lib.purdue.edu/sensitivedata
Directory of sample datasets: guides.lib.purdue.edu/c.php?g=899358
Creating a ReadMe file: purr.purdue.edu/kb/metadata
Real life example of ReadMe files and data dictionary: Peel, S., Haas, M. H., Turco,
Jr, R. F. (2016). Biological, chemical and flow characteristics of five river sampling
sites in the Wabash River watershed near Lafayette, Indiana – 2015. Purdue
University Research Repository. doi:10.4231/R7RR1W7B
Archival file format recommendations: purr.purdue.edu/legal/file-format-
recommendations
Resources
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Thank youSend questions to [email protected].
Sandi Caldrone
Purdue University Research Repository (PURR)
April 22. 2020