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Aims to improve access to scientific research data for Canadians and provide resources to guide data management activities. Browse Data Sets Access Canadian scientific, technical and medical (STM) data sets from a broad range of scientific disciplines. Data Management and Curation A resource for researchers looking for information on policies and best practices to guide their data management and curation activities.

ParaView is an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D or programmatically using ParaView's batch processing capabilities. ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of terascale as well as on laptops for smaller data.

" Mendeley/PLoS API Binary Battle Build an application with our data, make science more open, win $10,001 and more! What's it all about? PLoS and Mendeley, the popular reference manager and academic social network, teamed up to create a Binary Battle contest to build the best apps that make science more open using PLoS and/or Mendeley's APIs (Application Programming Interface)."

The Open Science Grid (OSG) advances science through open distributed computing. The OSG is a multi-disciplinary partnership to federate local, regional, community and national cyberinfrastructures to meet the needs of research and academic communities at all scales

The Kepler Project is dedicated to furthering and supporting the capabilities, use, and awareness of the free and open source, scientific workflow application, Kepler. Kepler is designed to help scien­tists, analysts, and computer programmers create, execute, and share models and analyses across a broad range of scientific and engineering disciplines. Kepler can operate on data stored in a variety of formats, locally and over the internet, and is an effective environment for integrating disparate software components, such as merging "R" scripts with compiled "C" code, or facilitating remote, distributed execution of models. Using Kepler's graphical user interface, users simply select and then connect pertinent analytical components and data sources to create a "scientific workflow"-an executable representation of the steps required to generate results. The Kepler software helps users share and reuse data, workflows, and compo­nents developed by the scientific community to address common needs.

Data Observation Network for Earth (DataONE) is the foundation of new innovative environmental science through a distributed framework and sustainable cyberinfrastructure that meets the needs of science and society for open, persistent, robust, and secure access to well-described and easily discovered Earth observational data.

For the average biologist, hands-on literature mining currently means a keyword search in PubMed. However, methods for extracting biomedical facts from the scientific literature have improved considerably, and the associated tools will probably soon be used in many laboratories to automatically annotate and analyse the growing number of system-wide experimental data sets. Owing to the increasing body of text and the open-access policies of many journals, literature mining is also becoming useful for both hypothesis generation and biological discovery. However, the latter will require the integration of literature and high-throughput data, which should encourage close collaborations between biologists and computational linguists.

Dexy is a tool for writing about code and data, so it's an ideal tool for writing about data science which involves lots of both.

Policies that request and require investigators to share research data are becoming more common. This research study, The impact of public data archiving policies on attitudes, experiences, and practices of authors, explores the impact of journal policies on the experiences, attitudes, and practices of active scientists.

Figshare allows researchers to publish all of their research outputs in seconds in an easily citable, sharable and discoverable manner. All file formats can be published, including videos and datasets that are often demoted to the supplemental materials section in current publishing models. By opening up the peer review process, researchers can easily publish null results, avoiding the file drawer effect and helping to make scientific research more efficient. Figshare uses creative commons licensing to allow frictionless sharing of research data whilst allowing users to maintain their ownership.