Resources for Researchers

Systematic literature review

Parsifal is an online tool designed to support researchers to perform systematic literature reviews within the context of Software Engineering. Geographically distributed researchers can work together within a shared workspace, designing the protocol and conducting the research.

As well as providing a way to document the whole process, the tool will help you remind what is important during a systematic literature review. During the planning phase, Parsifal will help you with the objectives, PICOC, research questions, search string, keywords and synonyms, selecting the sources, the inclusion and exclusion criterias. Will also provide mechanisms to build a quality assessment checklist and data extraction forms.

During the conducting phase, you will be able to import bibtex files and select the studies, find duplicates among all the different sources, execute the quality assessment and extract data from the papers.

Advanced Information Research Skills (AIRS)

Advanced Information Research Skills (AIRS) is a coursework for Higher Degree Research (HDR) students enrolled in a Doctor of Philosophy (PhD) or Master of Philosophy (MPhil) at Queensland University of Technology (QUT), Australia. The curriculum content is openly accessible, creative commons licensed and available for use by all.

The curriculum includes:

  • formulating a good research question

  • advanced search strategies

  • sourcing and evaluating quality literature

  • bibliographic and data management

  • note-taking strategies

  • citation analysis and research impact

  • collaboration tools

  • authorship and academic integrity

  • publishing and pathways.

Researcher Academy

Researcher Academy provides free access to countless e-learning resources designed to support researchers on every step of their research journey. Browse our extensive module catalogue to uncover a world of knowledge, and earn certificates and rewards as you progress.

RESEARCH PREPARATION

  • Funding

  • Research data management

  • Research collaborations

WRITING FOR RESEARCH

  • Fundamentals of manuscript preparation

  • Writing skills

  • Technical writing skills

  • Book writing

PUBLICATION PROCESS

  • Fundamentals of publishing

  • Finding the right journal

  • Ethics

  • Open science

  • How to publish in premium journals

  • Publishing in the Chemical Sciences

NAVIGATING PEER REVIEW

  • Certified Peer Reviewer Course

  • Fundamentals of peer review

  • Becoming a peer reviewer

  • Going through peer review

COMMUNICATING YOUR RESEARCH

  • Social impact

  • Ensuring visibility

  • Inclusion and Diversity for Researchers

Reference managers

Reference managers help collect, organize and share references and create citations in various formats. Mendeley and Zotero are free reference managers.

Mendeley

Mendeley simplifies your workflow, so you can focus on achieving your goals.

Zotero

Zotero is a free, easy-to-use tool to help you collect, organize, cite, and share research.

Datasets

Mendeley

Mendeley Data is a secure cloud-based repository where you can store your data, ensuring it is easy to share, access and cite, wherever you are.

Search 28.1 million datasets from domain-specific and cross-domain repositories.

OpenML

The Open Machine Learning is a public repository for machine learning data and experiments, that allows everybody to upload open datasets. It integrates with scikit-learn.

Example:

from sklearn import ensemble
from openml import tasks, flows, Runs

task = tasks.get_task(3954)
clf = ensemble.RandomForestClassifier()
flow = flows.sklearn_to_flow(clf)
run = runs.run_flow_on_task(task, flow)
result = run.publish()

Key features:

  • Query and download OpenML datasets and use them however you like

  • Build any sklearn estimator or pipeline and convert to OpenML flows

  • Run any flow on any task and save the experiment as run objects

  • Upload your runs for collaboration or publishing

  • Query, download and reuse all shared runs

Tensorflow Datasets

Tensorflow Datasets (TFDS) provides a collection of ready-to-use datasets for use with TensorFlow, Jax, and other Machine Learning frameworks.

https://www.tensorflow.org/datasets/catalog/overview

Google Research

Google periodically releases data of interest to researchers in a wide range of computer science disciplines.

https://research.google/tools/datasets/