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Updated: 3 hours 36 min ago

Celebrate Data in February: Love Data Week and Endangered Data Week

Thu, 2019-02-07 15:01

Two upcoming data weeks, Love Data Week and Endangered Data Week, provide opportunities to share stories, learn new skills, and consider how data shapes our everyday life. No matter your role – researcher, librarian, data professional, scholar, or community member – everyone is invited to contribute and participate!

Love Data Week: February 11 – February 15, 2019  

Similar to Open Access Week, the purpose of the Love Data Week event is to raise awareness and build a community to engage on topics related to research data management, sharing, preservation, reuse, and library-based research data services. We will share practical tips, resources, and stories to help researchers at any stage in their career use good data practices.

This year’s theme focuses on data in everyday life. As data creation, gathering, and use continues to expand, its impact transforms how we move through and experience the world. This theme is being explored through two topics that offer a rich opportunity to engage many audiences:

  • Open data – What is open data? And how does it play out in our everyday life?  The answer depends on who is asking – open data for government, citizens, researchers, and businesses can mean very different things.
  • Data justice – Social justice and big data are current buzzwords, but how do these two areas intersect? Can data be used to effect social change and fight inequality, and if so, how?

Endangered Data Week: February 25 – March 1, 2019

Endangered Data Week is a collaborative effort coordinated across campuses, nonprofits, libraries, citizen science initiatives, and cultural heritage institutions, to shed light on public datasets that are in danger of being deleted, repressed, mishandled, or lost. The week’s events can promote care for endangered collections by: publicizing the availability of datasets; increasing critical engagement with them, including through visualization and analysis; and by encouraging political activism for open data policies and the fostering of data skills through workshops on curation, documentation and discovery, improved access, and preservation.

To support Endangered Data Week, consider hosting one of the following events or activities:

  • Subject-specific workshops or presentations using endangered datasets
  • Lectures or roundtables on issues of transparency, policy, or critical data literacy
  • Workshop/hackathon on organizing, reformatting, or visualizing endangered data
  • DataRescue events
  • Letter writing/advocacy campaigns
  • Data curation workshops or training
  • Data Expeditions
  • Workshops on ways to use archived websites for research
  • Web scraping/web archiving workshops
  • Data storytelling events, using tools like these, from DataRefuge

Are you planning to celebrate Love Data Week or Endangered Data Week? What activities or events do have planned at your institution? If you would like to share how your organization participated in these data weeks, please contact Liz Waltman or get in touch on social media @NNLMSEA.

Categories: Data Science

2019 HSRProj Research Competition for Students: Identifying Research Gaps in HSR

Wed, 2019-01-23 11:00

AcademyHealth is proud to announce the third annual HSRProj Research Competition for Students hosted by AcademyHealth and the National Information Center for Health Services Research and Health Care Technology (NICHSR) of the National Library of Medicine (NLM). This annual competition invites students to use data from the Health Services Research Projects in Progress (HSRProj) database in conjunction with other sources to identify research gaps in health services and systems research.

Submission Requirements

All projects should include the following:

  • A research statement that outlines a topic related to population health and/or social determinants of health that is missing or under-represented in the field of health services or systems research as a whole. You may also choose to focus your project on missing or under-represented topics in the HSRProj database itself.
  • A methods statement that clearly explains how the HSRProj full database download was deployed, as well as the rationale for additional data sources, such as those listed below under “Resources.”
  • A statement of findings/conclusions and recommendations, including a justification of the significance of the topic.
  • Data visualization(s) (no more than three) that illustrate the findings in an engaging and comprehensive manner (e.g., graphs, charts, models, infographics).
Eligibility Criteria

To be eligible, students must:

  • Be enrolled in an undergraduate or graduate program in health services research, communication science, data science, informatics, information science, public health, health economics, statistics, or a related field;
  • Work alone or in groups of no more than three;
  • Work with an academic advisor (and it is strongly encouraged, but not required, for students to seek out university librarians for advice on your project);
  • Use the HSRProj full database, which is available online in .xml here and Excel format here; and
  • Use at least one supplemental data source, such as those listed below under “Resources.”
Judging Criteria

In the initial phase, a set of judges drawn from the diverse fields that comprise health services and systems research will score each structured abstract based on the following criteria:

  • Use of the HSRProj database and relevant HSRProj attributes;
  • Clarity of the explanation of methods and proposed research gap;
  • Significance of the identified “research gap” to the field or practice of health services and systems research;
  • Clarity of the rationale for any additional data source(s) used in the project; and
  • Creativity, clarity, and impact of the data visualization(s).

From the pool of submission, the judges will select five finalists to present a ten-minute web-based project synopsis. Finalist presentations will highlight the research purpose, methodology, findings, conclusions, and data visualizations. Presentations are expected to take place during the week of April 22, 2019. The winning project, and four honorary mentions, will be announced in early May.

How to Apply

The submission window for this competition will close on March 1, 2019 5:00 p.m. ET.

Submissions are to be made through the application webform. A complete submission needs to include:

  • The application form with each team member’s and faculty advisor’s information;
  • structured abstract for the project of no more than 500 words, using the judging criteria as a guide; and
  • Up to three data visualizations that illustrate the authors’ approach and findings.

Students are encouraged to seek course credits through their university for participation in this competition.

NOTE: There will be NO exceptions to the March 1 deadline. Finalists will be notified of their selection by the judges by the first week of April.


The winner or winning team will be invited to present their research as a featured poster at the 2019 AcademyHealth Annual Research Meeting in Washington D.C., on June 2-4, 2019.  Please note that the winner(s) will need to cover their own lodging, transportation, and registration. In addition, the winner(s) will be invited to work with AcademyHealth staff to write a blog post to be featured on AcademyHealth’s website describing their project and experience.

For more information, please visit:


Categories: Data Science