All posts by Sophia Lafferty-Hess

Open Science Framework @ Duke

Center for Open ScienceThe Open Science Framework (OSF) is a free, open source project management tool developed and maintained by the Center for Open Science (COS). OSF offers many features that can help scholars manage their workflow and outputs throughout the research lifecycle. From collaborating effectively, to managing data, code, and protocols in a centralized location, to sharing project materials with the broader research community, the OSF provides tools that support openness, research integrity, and reproducibility. Some of the key functionalities of the OSF include:

  • Integrations with third-party tools that researchers already use (i.e., Box, Google Drive, GitHub, Mendeley, etc.)
  • Hierarchical organizational structures
  • Unlimited native OSF storage*
  • Built-in version control
  • Granular privacy and permission controls
  • Activity log that tracks all project changes
  • Built-in collaborative wiki and commenting pane
  • Analytics for public projects
  • Persistent, citable identifiers for projects, components, and files along with Digital Object Identifiers (DOIs) and Archival Resource Keys (ARKs) available for public OSF projects
  • And more!

Duke University is a partner institution with OSF, meaning  you can sign into the OSF using your NetID and affiliate your projects with Duke. Visit the Duke OSF page to see some Duke research projects and outputs from our community.

Duke University Libraries has also partnered with COS to host a workshop this fall entitled “Increasing Openness and Reproducibility in Quantitative Research.” This workshop will teach participants how they can increase the reproducibility of their work and will include hands-on exercises using the OSF.

Workshop Details
Date: October 3, 2017
Time: 9 am to 12 pm
Register:
http://duke.libcal.com/event/3433537

If you are interested in affiliating an existing OSF project, want to learn more about how the OSF can support your workflow, or would like a demonstration of the OSF, please contact askdata@duke.edu.

*Individual file size limit of 5 GB. Users can upload larger files by connecting third party add-ons to their OSF projects.

Love Your Data Week (Feb. 13-17)

In cooperation with the Triangle Research Library Network, Duke Libraries will be participating in Love Your Data Week on February 13-17, 2017. Love Your Data Week is an international event to help researchers take better care of their data. The campaign focuses on raising awareness and building community around data management, sharing, preservation, and reuse.

The theme for Love Your Data Week 2017 is data quality, with a related message for each day.

  • Monday: Defining Data Quality
  • Tuesday: Documenting, Describing, and Defining
  • Wednesday: Good Data Examples
  • Thursday: Finding the Right Data
  • Friday: Rescuing Unloved Data

Throughout the week, Data and Visualization Services will be contributing to the conversation on Twitter (@duke_data). We will also host the following local programming related to the daily themes:

In honor of Love Your Data Week chocolates will be provided at these workshops!

The new Research Data Management staff at the Duke Libraries are available to help researchers care for their data through consultations, support services, and instruction.  We can assist with writing data management plans that comply with funder policies, advise on data management best practices, and facilitate the ingest of data into repositories. To learn more about general data management best practices, see our newly updated RDM guide

Contact us at askdata@duke.edu to find out how we can help you love your data! 

Get involved in Love Your Data Week by following the conversation at #LYD17, #loveyourdata, and #trlndata.

All promotional Love Your Data 2017 materials used under a Creative Commons Attribution 4.0 International License.

Citation: Bass, M., Neeser, A., Atwood, T., and Coates, H. (2017). Love Your Data Week Promotional Materials. [image files]. Retrieved from https://osf.io/r8tht/files/