Heather Piwowar

As scholars migrate into online spaces like Mendeley, blogs, Twitter, and more, they leave new traces of once-invisible interactions like reading, saving, discussing, and recommending. Observing these traces can inform new metrics of scholarly influence and impact -- so-called "altmetrics." Stakeholders in academia are beginning to discuss how and...

In growing numbers, scholars are integrating social media tools like blogs, Twitter, and Mendeley into their professional communications. The online, public nature of these tools exposes and reifies scholarly processes once hidden and ephemeral. Metrics based on this activities could inform broader, faster measures of impact, complementing traditio...

Growing scholarly use of Web tools present an opportunity to track alternative impacts along heretofore invisible paths like reading, bookmarking, and discussing. We present two tools, CitedIn and total-impact, that gather and report these and other altmetrics After discussing the tools features, we use a set of 214 articles from a national researc...

Although citations are useful for evaluating researchers and institutions, they only reflect a restricted segment of the impact spectrum. Growing scholarly use of Web tools, however, presents an opportunity to track alternative impacts along heretofore invisible paths like reading, bookmarking, and discussing. We introduce two tools, CitedIn and to...

Human functional magnetic resonance imaging (fMRI) informs the understanding of the neural basis of mental function and is a key domain of ethical enquiry. It raises questions about the practice and implications of research, and reflexively informs ethics through the empirical investigation of moral judgments. It is at the centre of debate surround...

What does the Information Science community think about new, open methods for publishing, finding, discussing, and measuring our research output? This poster will summarize audience member participation and reaction to an ASIS&T 2011 panel discussing these issues. Reaction data will consist of several Likert-scale and open-ended responses. The data...

Manual sorting of published journal articles into several pre-defined subsets for the purpose of qualitative analysis is common practice in social science research. Unfortunately, this can be a time-consuming process which requires the attention of a subject specialist, and relies on various measures of inter-rater reliability to ensure that the re...

Reusing research data has important potential benefits: generative science and efficient resource use. Tracking the reuse of research datasets would allow us to understand whether the potential benefits are indeed realized, enable recognition of investigators who produce, annotate, and share useful data, and inform data sharing and reuse initiative...

Many initiatives encourage investigators to share their raw research datasets in pursuit of increased research quality and efficiency. Despite these investments of time and money, we do not yet understand the impact of these initiatives. In this study, I use bibliometric methods to understand the prevalence and patterns with which investigators pub...

Sharing biomedical research and health care data is important but difficult. Recognizing this, many initiatives facilitate, fund, request, or require researchers to share their data [1–5]. These initiatives address the technical aspects of data sharing, but rarely focus on incentives for key stakeholders [6]. Academic health centers (AHCs) have a c...

Science progresses by building upon previous research. Progress can be most rapid, efficient, and focused when raw datasets from previous studies are available for reuse. To facilitate this practice, funders and journals have begun to request and require that investigators share their primary datasets with other researchers. Unfortunately, it is di...