Discover

Workflows

Collaboration

Finance

Project Management

Research

Planning

Journal Related

Notifications

Reference Management

Searching

Exploring

Analysis

Experiment

Sharing

Analyzing

Citation

Code

Visualization

Writing

Documenting

Archiving

Impact Measurement

Journal Selection

Peer Review (Post Pub)

Peer Review (Pre Pub)

Presentation

Publication

Research Assessment

Researcher Networks

Publishing

Assessment

Anonymous

Collaborative Review

Commenting

Translation Service

Manuscript Editing

Collaborative Writing

Research Square

Independent, standardized review, a portable peer review process that eliminates redundancy and allows articles to be transferred quickly between journals. Features double-blind peer review.  The Rubriq Scorecard developed with academic reviewers and journal editors to be a rigorous, complete tool for the evaluation of manuscripts. Reviewers use the Rubriq Scorecard to provide thorough assessment and commentary on all aspects of the manuscript, falling into several broad categories:&shy;
Quality of research . Quality of presentation of the work . Each review includes both qualitative feedback and a quantitative score, allowing editors to quickly assess the quality of the manuscript to make an editorial decision or route the paper to a more appropriate journal.

Improve the speed and quality of the peer review process.

Rubriq

Biology

Earth and Environment

Health

Humanity

Physical Science and Technology

Sociology

Discovery

Preparation

Discover Research Projects

Crowdfunding

Discover Funders

Research Professional

Using Research Professional’s extensive database of funding opportunities, as well as its comprehensive research funding news and analysis, institutions and researchers receive the information and guidance that they require to stay ahead of research developments and more effectively win grants.

Extensive database for worldwide funding opportunities and news about research.

Outreach

Execution

Field Specific Profiling

Researcher Profiles

Collaborative experimentation

Science Exchange

Science Exchange is a marketplace for scientific collaboration, where researchers can order experiments from the world's best labs. Science Exchange is the world’s leading R&D Services Management company, empowering research organizations to accelerate science and drive more innovation success. The Science Exchange Marketplace improves R&D productivity by automating many collaborative tasks between buyers and providers, such as obtaining quotes, managing projects and processing payments, all with rigorous data security and regulatory compliance embedded throughout. Founded by Elizabeth Iorns, Ryan Abbott and Dan Knox in Miami, FL in April 2011.

An online marketplace for science experiments.

Share Data

Data Collection

Share Process Management

Management

DMP Tool

The DMPTool allows researchers to create ready-to-use data management plans for specific funding agencies; meet funder requirements for data management plans; get step-by-step instructions and guidance for data; and learn about resources and services available at any institution to help fulfil the data management requirements for a grant.

Data management plan templates for many large funding agencies.

Data Archiving

Discover Journals

Discover Citations

Access Journals

Publication Archiving

Metadata

Journal Platform

Citation Options

Reference Managing

Metadata Extraction

FAIRsharing

FAIRsharing is an informative and educational service that increases guidance to consumers of standards, databases, repositories, and data policies, accelerating the discovery, selection, and use of these resources. It also aims to increase the satisfaction of resource producers through increased visibility, reuse, adoption and citation, and their resource. Targeted to researchers and other stakeholders involved in producing, managing, serving, curating, preserving, publishing or regulating data, FAIRsharing supports and enables the implementation of the FAIR principles.

Ensures that standards align with the FAIR data principles.