All posts by Sophia Lafferty-Hess

Duke University Libraries Partners with the Qualitative Data Repository

Duke University Libraries has partnered with the Qualitative Data Repository (QDR) as an institutional member to provide qualitative data sharing, curation, and preservation services to the Duke community. QDR is located at Syracuse University and has staff and infrastructure in place to specifically address some of the unique needs of qualitative data including curating data for future reuse, providing mediated access, and assisting with Data Use Agreements.

Duke University Libraries has long been committed to helping our scholars make their research openly accessible and stewarding these materials for the future. Over the past few years, this has included launching a new data repository and curation program, which accepts data from any discipline as well as joining the Data Curation Network. Now through our partnership with QDR we can further enhance our support for sharing and archiving qualitative data.

Qualitative data come in a variety of forms including interviews, focus groups, archival materials, textual documents, observational data, and some surveys. QDR can help Duke researchers have a broader impact through making these unique data more widely accessible.

“Founded and directed by qualitative researchers, QDR is dedicated to helping researchers share their qualitative data,” says Sebastian Karcher, QDR’s associate director. “Informed by our deep understanding of qualitative research, we help researchers share their data in ways that reflect both their ethical commitments and do justice to the richness and diversity of qualitative research. We couldn’t be more excited to continue our already fruitful partnership with Duke University Libraries”

Through this partnership, Duke University Libraries will have representation on the governance board of QDR and be involved in the latest developments in managing and sharing qualitative data. The libraries will also be partnering with QDR to provide virtual workshops in the spring semester at Duke to enhance understanding around the sharing and management of qualitative research data.

If you are interested in learning more about this partnership, contact datamanagement@duke.edu.

OSF@Duke: By the Numbers and Beyond

The Open Science Framework (OSF) is a data and project management platform developed by the Center for Open Science that is designed to support the entire research lifecycle. OSF has a variety of features including file management and versioning, integration with third-party tools, granular permissions and sharing capabilities, and communication functionalities. It also supports growing scholarly communication formats including preprints and preregistrations, which enable more open and reproducible research practices.

In early 2017, Duke University became a partner institution with the OSF. As a partner institution, Duke researchers can sign into the OSF using their NetID and affiliate a project with Duke, which allows it to be displayed on the Duke OSF page. After 2 years of supporting OSF for Institutions here at Duke, the Research Data Management (RDM) team wanted to gain a better perspective surrounding how our community was using the tool and their perceptions. 

As of March 10, 2019, Duke has 202 users that have signed into the system using their Duke credentials (and there are possibly more users that are authenticating using personal email accounts). Of these users, 177 total projects have been created and affiliated with Duke. Forty-six of these projects are public and 132 remain private. Duke users have also registered 80 Duke affiliated projects, 62 of which are public and 18 are embargoed. A registration is a time-stamped read-only copy of an OSF project that can be used to preregister a research design, to create registered reports for journals, or at the conclusion of a project to formally record the authoritative copy of materials.

But what do OSF users think of the tool and how are they using it within their workflows? A few power users shared their thoughts:

Optimizing research workflows: A number of researchers noted how the OSF has helped streamline their workflows through creating a “central place that everyone has access to.” OSF has helped “keeping track of the ‘right’ version of things” and “bypassing the situation of having different versioned documents in different places.” Additionally, the OSF has supported “documenting workflow pipelines.”

Facilitating collaboration: One of the key features of the OSF is that researchers, regardless of institutional affiliation, can contribute to a project and integrate the tools they already use. Matt Makel, Director of Research at TIP, explains how OSF supports his research – “I collaborate with many colleagues at other institutions. OSF solves the problem of negotiating which tools to use to share documents. Rather than switching platforms across (or worse, within) projects, OSF is a great hub for our productivity.”

Offering an end-to-end data management solution: Some research groups are also using OSF in multiple stages of their projects and for multiple purposes. As one researcher expressed – “My research group uses OSF for every project. That includes preregistration and archiving research materials, data, data management and analysis syntax, and supplemental materials associated with publications. We also use it to post preprints to PsyArXiv.”

It also surfaced that OSF supported an ideological perception regarding a shift in the norms of scholarly communication. As Elika Bergelson, Crandall Family Assistant Professor in Psychology and Neuroscience, aptly put it “Open science is the way of the future.” Here within Duke University Libraries, we aim to continue to support these shifting norms and the growing benefits of openness through services, platforms, and training.

To learn more about how the OSF might support your research, join us on April 3 from 10-11 am for hands-on OSF workshop. Register here: https://duke.libcal.com/event/4803444

If you have other questions about using the OSF in a project, the RDM team is available for consultations or targeted demonstrations or trainings for research teams. We also have an OSF project that can help you understand the basic features of the tool.

Contact askdata@duke.edu to learn more or request an OSF demonstration.

Computational Reproducibility Pilot – Code Ocean Trial

A goal of Duke University Libraries (DUL) Code Ocean Logois to support the  growing and changing needs of the Duke research community. This can take many forms. Within Data and Visualization Services, we provide learning opportunities, consulting services, and computational resources to help Duke researchers implement their data-driven research projects. Monitoring and assessing new tools and platforms also helps DUL stay in tune with changing research norms and practices. Today the increasing focus on the importance of transparency and reproducibility has resulted in the development of new tools  and resources to help researchers produce and share more reproducible results. One such tool is Code Ocean.

Code Ocean is a computational reproducibility platform that employs Docker technology to execute code in the cloud. The platform does two key things—it integrates the metadata, code, data and dependencies into a single ‘compute capsule’, ensuring that the code will run—and it does this in a single web interface that displays all inputs and results. Within the platform, it is possible to develop, edit or download the code, run routines, and visualize, save or download output, all from a personal computer. Users or reviewers can upload their own data and test the effects of changing parameters or modification of the code. Users can also share their data and code through the platform. Code Ocean provides a DOI for all capsules facilitating attribution and a permanent connection to any published work.

In order to help us understand and evaluate the usefulness of the Code Ocean platform to the Duke research community, DUL will be offering trial access to the Code Ocean cloud-based computational reproducibility platform starting on October 1, 2018. To learn more about what is included in the trial access and to sign up to participate, visit the Code Ocean pilot portal page.

If you have any questions, contact askdata@duke.edu.

Highlights from Expanding our Research Data Management Program

Since the launch of our expanded research data management (RDM) program in January, the Research Data Management Team in DVS has been busy defining and implementing our suite of services. Our “Lifecycle Services” are designed to assist scholars at all stages of their research project from the planning phase to the final curation and disposition of their data in an archive or repository. Our service model centers on four key areas: data management planning, data workflow design, data and documentation review, and data repository support. Over the past nine months, we have  worked with Duke researchers across disciplines to provide these services, allowing us to see their value in action. Below we present some examples of how we have supported researchers within our four support areas.

Data Management Planning

With increasing data management plan requirements Data Management Planningas well as growing  expectations that funding agencies will more strictly enforce and evaluate these plans, researchers are seeking assistance ensuring their plans comply with funder requirements. Through in-person consultations and online review through the DMPTool, we have helped researchers enhance their DMPs for a variety of funding agencies including the NSF Sociology Directorate, the Department of Energy, and the NSF Computer & Information Science & Engineering (CISE) Program.

Data Workflow Design

As research teams begin a project there are a variety Data Workflow Designof organizational and workflow decisions that need to be made from selecting appropriate tools to implementing storage and backup strategies (to name a few). Over the past 6 months, we have had the opportunity to help a multi-institutional Duke Marine Lab Behavioral Response Study (BRS) implement their project workflow using the Open Science Framework (OSF). We have worked with project staff to think through the organization of materials, provided training on the use of the tool, and strategized on storage and backup options.

Data and Documentation Review

During a project, researchers make decisions about how to format, Data and Documentation Reviewdescribe, and structure their data for sharing and preservation. Questions may also arise surrounding how to ethically share human subjects data and navigate intellectual property or copyright issues. In conversations with researchers, we have provided suggestions for what formats are best for portability and preservation, discussed their documentation and metadata plans, and helped resolve intellectual property questions for secondary data.

Data Repository Support

At the end of a project, researchers may be required Data Repository Supportor choose to deposit their data in an archive or repository. We have advised faculty and students on repository options based on their discipline, data type, and repository features. One option available to the Duke community is the Duke Digital Repository. Over the past nine months, we have assisted with the curation of a variety of datasets deposited within the DDR, many of which underlie journal publications.

This year Duke news articles have featured two research studies with datasets archived within the DDR, one describing a new cervical cancer screening device and another presenting cutting-edge research on a potential new state of matter. The accessibility of both Asiedu et al.’s screening device data and Charbonneau and Yaida’s glass study data enhances the overall transparency and reproducibility of these studies.

Our experiences thus far have enabled us to better understand the diversity of researchers’ needs and allowed us to continue to hone and expand our knowledge base of data management best practices, tools, and resources. We are excited to continue to work with and learn from researchers here at Duke!

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/