Program

training modules

Module 1: MANAGING Research Data

This first part of the training helps participants understand the research data environment.

It consists of three submodules:

. Challenges in Research Data Governance

. Research Data Governance

. Research Data Alliance

Module 2: Mastering Research Data Analysis Tools

The second part of the training program focuses on mastering research data analysis tools—that is, tools designed to extract, contextualize, explore, secure, and protect data.

It consists of five submodules:

Module 2.1: Extracting Data

. Data Reliability and Collection
. Data Reliability and Curation

Module 2.2 Managing Data and Metadata

. Building and Managing Metadata
. Ensuring Data Longevity

Module 2.3: Exploring and Analyzing Data

. Text and Data Mining . Mining Techniques
. Text and Data Mining . TDM Infrastructures
. TDM Exception
. Scientific Data Integrity

Module 2.4: Securing Data

. Technical data security
. Legal data security (NDA)
. Legal data security (anonymization)

Module 3: Managing Open Research Data

Part 3 focuses on training in open research data. It involves learning how to share and publish data , as well as how to store and archive it securely so that it can potentially be reused and/or leveraged.

It consists of four submodules:

Module 3.1: Developing a Data Management Plan (DMP)

. Data Cleaning (SHS)
. Data Cleaning (STM)
. Creating a Data Management Plan. Development and Drafting

Module 3.2: Storing and Archiving Data

. Managing a data infrastructure
. Earning a certification
. Choosing a data warehouse
. Choosing an archiving solution

Module 3.3: Disseminating and Sharing Data

. Open Access to Scientific Publications
. Publish a Data Paper
. Log in as a researcher

Module 3.4: Reusing and Leveraging Data

. Protecting data-driven innovations (IP/trade secrets)
. Monetizing research data (licensing)
. Making research data and public data freely available
. Licenses for the reuse of public data