Introduction to the Data Management DayFriday 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

Research life cycle

Image credit to:

Manage and re-use of various research digital objects, beside data

Datasets

Papers

SOPs

Figures

Workflows

Slides

Codes

Tools

Databases

Algorithms

•  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

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 and Tables( the compromise)

Facts as RDF statements(information for machines)

From free text descriptions To structured FAIR representations

Notes in Lab Books(information for humans)

Spreadsheets and Tables( the compromise)

Facts as RDF statements(information for machines)

http://dx.doi.org/10.1371/journal.pcbi.1004525

http://dx.doi.org/10.1038/sdata.2016.18