Overview of the Data Management Day. The Oxford Interdisciplinary Bioscience Doctoral Training Partnership (DTP)

1. Introduction to the Data Management Day
Friday Dec 9th, 2016
Data Consultant, Founding Academic Editor
Susanna-Assunta Sansone, PhD.
Associate Director,
Principal Investigator
Philippe Rocca-Serra, PhD.
Senior Research Lecturer
Alejandra Gonzalez-Beltran, PhD.
Research Lecturer
www.slideshare.net/SusannaSansone/DTP2016

2. Research life cycle
Image credit to:

3. Manage and re-use of various research
digital objects, beside data
Datasets
Papers
SOPs
Figures
Workflows
Slides
Codes
Tools
Databases
Algorithms

4. • Susanna - research digital objects
o Findability, Accessibility, Interoperability, Reusability (FAIR) concept
o Importance of FAIR objects in science and what is in for you
o Metadata or content standards, why should you care
o Data management, not a service but R&D and a possible career path
• Alejandra - information retrieval
o Databases and repositories of digital objects
o Focus on ontologies, a type of content standard
o Application of ontologies in searches
• Philippe - reporting experimental metadata
o Experimental design
o Statistical results
Outline – morning session: lectures

5. Outline – afternoon session: exercise
• Alejandra and Philippe – introductions
o The Investigation, Study, Assays (ISA) format
o The ISA tools: focus on the Google spreadsheet-based OntoMaton
• You will structure and describe an
experiment using terms from ontologies
Notes in Lab Books
(information for humans)
Spreadsheets andTables
( the compromise)
Facts as RD
(information
From free text descriptions To structured FAIR representations

6. http://dx.doi.org/10.1371/journal.pcbi.1004525
http://dx.doi.org/10.1038/sdata.2016.18