Collecting and Protecting Your Data


Vicky Steeves & Nicholas Wolf | April 8, 2017


Human Error


Jason Karaian, Years of Genomics Research is Riddled with Errors Thanks to a Bunch of Botched Excel Spreadsheets" Quartz (28 Aug. 2016).

Disappearing Data

Research Data Management


Managing the way data is collected, processed, analyzed, preserved, and published for greater reuse by the community and the original researcher.

What is Data?

"the recorded factual material commonly accepted in the scientific community as necessary to validate research findings." -Federal Office of Management & Budget Circular A-110

Federal Regulations

Documenting Local Files

Basic Management Principles


  • Use a file management system to annotate and locate files; use a systematic file naming system.
  • Use "readme" files to annotate and explain file content.
  • Use open file formats that are software agnostic.

Long Term Storage

Choose what you want to preserve/get to in the long term, but No matter WHAT, make sure you keep:

  • documentation (lab/field notebooks, etc.)
  • tools & analysis
Put your data into an archival format!

  • this should be open + accessible
  • Software agnostic

Create a Researcher Identity

Open Researcher & Contributor ID

  • free! persistent identifier for researchers (think DOI)
  • link all your publications to you rather than someone with your same name!
  • many journals are asking for an ORCID upon submission of materials

Do you have one? No? Let’s get you an ORCID.org!


Documentation with the Open Science Framework

  • Wiki: document your lab procedures, standards, etc.
  • Collaborators: add collaborators of all levels, on different parts of your project
  • Components: sub-projects to organize your research
  • Version Control: upload files of the same name & OSF will track your versions!
  • Add-Ons: use OSF to bring together tools you use | GitHub
  • Registrations: when you have an unchanging version of your project, register it & get a DOI!

Questions?


Email us: vicky.steeves@nyu.edu & nicholas.wolf@nyu.edu

Learn more about RDM: guides.nyu.edu/data_management

Get this presentation: guides.nyu.edu/data_management/resources

Make an appointment: guides.nyu.edu/appointment