Advancing Research Communication & Scholarship

Make Data Count, Jennifer Lin
Sharing data is time consuming and researchers need incentives for undertaking the extra work. Metrics for data ("data-level metrics") will provide feedback on data usage, views, and impact that will help encourage researchers to share their data. This demo will showcase our working prototype, which tracks and measures activity surrounding research data. The NSF-funded project is a partnership between PLOS, California Digital Libraries, and DataONE.

Sharing multi-dimensional image data with OMERO, Mike Rossner
Many funding agencies, institutions, and journals now mandate sharing of biomedical research data. Centralized, public databases have been established for various types of structured biomedical data such as gene sequences, but the same is not true for biomedical images due to the size and complexity of the data. Thus individual researchers and/or their institutions are responsible for providing a solution to fulfill sharing mandates for this type of data.

OMERO is an open-source management system for complex image data and its associated metadata. Data in over 130 different native imaging file formats can be imported into the OMERO server and viewed through a variety clients, including web browsers. Files can be exported in an open, standardized format that is supported by many image analysis programs. OMERO’s public application programming interface allows the data and metadata to be accessed by other resources, such as institutional repositories, to facilitate discoverability and analysis.

Prompting Open Access Initiate with Altmetrics: Lesson Learned, Hui Zhang
Oregon State University (OSU) has recently started to provide altmetrics as a measure of scholarly impact for eligible items in its institutional repository called ScholarsArchive. Comparing to other implementations, OSU’ solution is more flexible and requires less maintenance because it is able to extract identifiers (DOI or handle) from item metadata and automatically embed a clickable icon indicating the availability of altmetrics under the statistics pane for qualified items. The proposed presentation will demonstrate technical details of the altmetrics project and compare its approach to similar projects done by other universities. However, the second part of the presentation is probably more engaging to a broader audience because it will not only discuss the difference between altmetrics and bibliometrics, but also debate whether altmetrics are effective in closing the gap of open access evaluation, which is the motivation behind OSU’s altmetrics project. Finally, the presentation will summarize feedbacks from OSU faculty towards altmetrics.

Counting article usage in the Web of Science, Michael Takats
Later this year the Web of Science will introduce a “usage” score as a new article level metric. In this presentation we will discuss how we are filtering and tracking activity within Web of Science to count meaningful usage by researchers as a potential indicator of an article’s importance.

Capturing, Curating and Disseminating Active Data, Dan Valen
Financial, social, and ethical pressures are increasingly requiring grantees to make their research results available and accessible in order to validate findings and spur scientific discovery. With the rise of open access across academia, the policies around open data are reigniting the conversation on what universities can do to collect and disseminate the assets generated at their institution. Enter, figshare for institutions.

figshare is an open science platform that aims to capture and disseminate the long tail of research outputs (data) to the benefit of the knowledge-based community. This 24/7 talk will touch on the hurdles institutions face in improving research data management and achieving open data policy compliance while also highlighting some of the solutions available for working more efficiently with data.

Tell the Story: Use Modern Metrics to Discover the Hidden Stories of Your Research, Andrea Michalek
The ways people interact with research is rapidly changing providing new opportunities to understand how researchers and the community are responding to and using research output. Previously, citations were the only mechanism for gauging research impact. Now, modern metrics (aka altmetrics) from Plum Analytics can help uncover the stories about your research. What are people saying? Who is saying it? Is it positive or negative? This session will describe how this works and give examples of customers telling their stories with the help of metrics from Plum Analytics’ metrics dashboard, PlumX.