The Open Science Framework, or OSF (osf.io) is a free and open source platform for supporting reproducible science. It’s designed more for documenting work than for streamlining work. It’s potentially a useful place to host a messy spread-out collaborative research project partly because of the add-ons it can connect with, (1) for storage: Amazon S3, Box, Dataverse, Dropbox, figshare, Google Drive, and GitHub, and (2) for references: Mendeley and Zotero. OSF also comes with a dashboard, a wiki, email notifications for your group, OSF file storage with built-in version control, data licensing background and assignment capability, ability to apply permission controls, and ability to make projects and components either private or public. Projects that one chooses to make public can be assigned DOIs (which can be transferred if you move your project elsewhere).
Aside from its primary role as a place to host research documentation and collaboration, OSF has also been used to teach classes in open science and reproducibility, and as a location to host conference products such as presentations and posters.
OSF is not a perfect platform for science – that elusive creature does not yet exist – but it’s a robust start with its ability to integrate other resources you may already be using, gets extra points for being free and open source, and could definitely be worth the learning curve of using with a next project. It continues to be improved over time, and how will we know what to ask of a platform if we don’t wrestle a bit with what’s already been built?
Learn more at the Open Science Framework FAQs and OSF Guides –
or on YouTube (where everyone seems to learn new software these days):
+ Getting Started with the OSF (2 mins) (start here!) –
+ Most recent “OSF 101” intro webinar (1 hour) –
+ Deep dive into the OSF (1 hour) (thumbs up!) –
+ and more at OSF’s YouTube channel.
If you try it out, please let us know what you think!
The Coral Reef Science & Cyberinfrastructure Network (CRESCYNT) is a multi-tiered and multidisciplinary network of coral reef researchers, ocean scientists, cyberinfrastructure specialists, and computer scientists, and we invite you to join us.
As an EarthCube Research Coordination Network, our goals are to foster a dynamic, diverse, durable, and creative community; to collectively consider and develop standards and resources for open data, research documentation, and data interoperability while making best use of work already accomplished by others; and to offer input to those groups within EarthCube who will ultimately create the data architecture for all of EarthCube. Along the way CRESCYNT expects to collect and share community resources and tools, and to offer training opportunities in topics prioritized by our members through widely accessible formats such as webinars and their recordings. We will also work to nurture unforeseen collaborative opportunities that emerge from our integrated collective work.
Because the coral reef community has exceptionally diverse data structures and analysis requirements needed to forward integrative science, it is an exemplar for cyberinfrastructure-enabled advances to other geosciences communities. The CRESCYNT network is working to match the data sources, data structures, and analysis needs of the coral reef community with current advances in data science, visualization, and image processing from multiple disciplines to advance coral reef research and meet the increasing challenges of conservation. The network has begun to assemble to coordinate, plan, and prioritize cyberinfrastructure needs within the coral reef community.
The structure of CRESCYNT is a network of networks, currently including 18 disciplinary nodes and 7 technological nodes, where each network node represents an area of coral reef science (disciplinary nodes: e.g., microbial diversity, symbiosis regulation, disease, physiology & fitness, reef ecology, fish & fisheries, conservation & management, biogeochemistry, oceanography, paleontology, geology) or an area of computer science or technical practice (technological nodes: e.g., visualization, geospatial analysis & mapping, image analysis, legacy & dark data, database management). These nodes may expand, coalesce, or divide to meet the needs and interests of the subdisciplinary communities, while maintaining connections to CRESCYNT through node coordinators and ongoing network activities. We invite you to become a member of CRESCYNT, join one or more nodes that would advance your own work, collaborate on shared resources and tools for the coral reef community, and ensure that the data architecture and cyberinfrastructure of EarthCube will meet the needs of the coral reef community, and that broader data interoperability within EarthCube will benefit both coral reefs and our ability to answer complex questions.
PLEASE VISIT OUR WEBSITE at http://crescynt.org to enroll in CRESCYNT, join a node, work on tasks, discuss data and research priorities, and help determine the future shape of cyberinfrastructure for supporting coral reef research and other geoscience work. This collaborative work is supported by the NSF EarthCube initiative. Dr. Ruth D. Gates, Director of the Hawaii Institute of Marine Biology, University of Hawaii, is the Principal Investigator of the CRESCYNT project. The CRESCYNT blog is written by Dr. Ouida Meier, the project’s program manager (email@example.com).
This material is based upon work supported by the National Science Foundation under Grant Number 1440342. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.