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Awesome RDM

"Awesome Research Data Management" is a curated list of awesome RDM resources for researchers and organizations.

Definitions

"Research data are objects that you use and produce during your research life cycle, encompassing datasets, software, code, workflow, models, figures, tables, images and videos, interviews, articles. Data are your research asset." The Turing Way / Guide for Reproducible Research / Research Data Management / Research Data

Research "data management refers to the storage, access and preservation of data produced from a given investigation. Data management practices cover the entire lifecycle of the data, from planning the investigation to conducting it, and from backing up data as it is created and used to long term preservation of data deliverables after the research investigation has concluded. Specific activities and issues that fall within the category of data management include: File naming (the proper way to name computer files); data quality control and quality assurance; data access; data documentation (including levels of uncertainty); metadata creation and controlled vocabularies; data storage; data archiving and preservation; data sharing and reuse; data integrity; data security; data privacy; data rights; notebook protocols (lab or field)." CODATA RDM-Terminology / RDM

In a wider sense research data management include also research information management and research knowledge management.

Table of contents

General resources

Registries

Toolkits

Courses

Books

Games

Wikis

FAIR principles

Research data centers

RDM for researchers

Use case: a researcher wants to plan, run and finish a research project.

Planning a project

Motivation for RDM

Costing RDM

Check out research data center at your university. They will guide you in RDM for free.

Writing a project proposal and searching funding

Data management coordination

It makes sense only in big research projects.

Data management planning

Data policies

Reusing data

First, find it.

Check quality of the data. Check licenses. If you reuse data, cite it.

Executing a project

Collecting data

Reusing existing data Collecting new data

Organizing data

File naming

File versioning

Folder structure

Data storage

Separate storage for sensitive data

Data backup

Cleaning data

Data exploration

Data interpretation

Anonymising data

Data Masking Pseudonimisation Aggregation Derived Data

Data protection

Data provenance

Finishing a project

Sharing data

There are many benefits to sharing data.

You can share the data via GitHub

Publishing data

Data journals

Presenting data

"from infographics to narrative reports, case studies and long form investigative articles, to graffiti or conceptual art"

Data licensing

Archiving data

Domain-specific resources

Social and economic data

Digital humanities

RDM for organizations

How to develop RDM services

How to choose a RDM repository

Persistent Identifiers

  • DOI registration agencies is a list of current DOI registration agencies
  • URN is a list of all registered namespaces provided by the Internet Assigned Numbers Authority (IANA)

Others

Tools

Registries of Terminologies, Vocabularies, Ontologies

Discipline-specific repositories

Digital editions