Data Management Tips Handout

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Data Management CC-BY Kristin Briney, Data Services Librarian University of Wisconsin-Milwaukee Libraries http://www4.uwm.edu/libraries/dataservices/ Use Backups Rule of 3: have 2 on-site copies, 1 offsite Automate backups whenever possible Periodically test restore data from backups Be Consistent Name your files consistently Avoid spaces and the following characters: “ / \ : * ? ‘ < > [ ] & $ Use date conventions: YYYY-MM-DD or YYYYMMDD Examples: 20090923_spctrm_trans_03.csv, SLAposter_FINAL.ai, BlogPost-2011-11-12.docx Consistent documentation Think about documentation before you start a project Make a list of the information to record when you acquire a dataset Examples: date, experiment, sample number, calibration factors, temperature, etc. Document Your Conventions Print out near computer/experiment area In front of research/lab notebook Page 1: Project information Page 2: Document conventions and abbreviations Page 3-X: Index of experiments (use 1 index line per page in notebook) README.txt in computer folders Top-level folder: Project information Lower-level folders: What’s in this folder? Plan ahead Get security assistance if you deal with HIPPA, FERPA, IRB, or other sensitive information UWM Information Security Office: www.uwm.edu/itsecurity/ HIPAA: www.uwm.edu/legal/hipaa/index.cfm FERPA: www.uwm.edu/academics/ferpa.cfm Avoid proprietary file formats or convert to them as soon as possible Examples: .doc to .txt, .xls to .csv, .jpg to .tif Preserve software if no open format available Periodically move data off outdated media

description

Basic tips for managing research data. This is the accompanying handout for the RCR presentation here: http://www.slideshare.net/kbriney/responsible-conduct-of-research-data-management

Transcript of Data Management Tips Handout

Page 1: Data Management Tips Handout

Data Management

CC-BY Kristin Briney, Data Services Librarian University of Wisconsin-Milwaukee Libraries http://www4.uwm.edu/libraries/dataservices/

Use Backups

Rule of 3: have 2 on-site copies, 1 offsite

Automate backups whenever possible

Periodically test restore data from backups

Be Consistent

Name your files consistently

Avoid spaces and the following characters: “ / \ : * ? ‘ < > [ ] & $

Use date conventions: YYYY-MM-DD or YYYYMMDD

Examples: 20090923_spctrm_trans_03.csv, SLAposter_FINAL.ai, BlogPost-2011-11-12.docx

Consistent documentation

Think about documentation before you start a project

Make a list of the information to record when you acquire a dataset

Examples: date, experiment, sample number, calibration factors, temperature, etc.

Document Your Conventions

Print out near computer/experiment area

In front of research/lab notebook

Page 1: Project information

Page 2: Document conventions and abbreviations

Page 3-X: Index of experiments (use 1 index line per page in notebook)

README.txt in computer folders

Top-level folder: Project information

Lower-level folders: What’s in this folder?

Plan ahead

Get security assistance if you deal with HIPPA, FERPA, IRB, or other sensitive information

UWM Information Security Office: www.uwm.edu/itsecurity/

HIPAA: www.uwm.edu/legal/hipaa/index.cfm

FERPA: www.uwm.edu/academics/ferpa.cfm

Avoid proprietary file formats or convert to them as soon as possible

Examples: .doc to .txt, .xls to .csv, .jpg to .tif

Preserve software if no open format available

Periodically move data off outdated media