Heather Piwowar's Publications List

Measuring progress toward a cultural norm of shared (and reused!) biomedical research data

2010-02-18T17:09:46Z

Heather A Piwowar (2010) NESCent, Durham NC, January 25

Public sharing of research datasets: A pilot study of associations

2010-02-18T17:08:43Z

The public sharing of primary research datasets potentially benefits the research community but is not yet common practice. In this pilot study, we analyzed whether data sharing frequency was associated with funder and publisher requirements, journal impact factor, or investigator experience and impact. Across 397 recent biomedical microarray studies, we found investigators were more likely to pub...

Heather A Piwowar, Wendy W Chapman (2010) Journal of Informetrics :

Using open access literature to guide full-text query formulation

2009-09-05T16:34:32Z

Literature searches, systematic reviews, and text mining require identifying articles based on full-text content. The full text of published biomedical articles contain valuable information not found in abstracts or MeSH terms. Full-text literature is increasingly available for query. PubMed Central, Highwire Press and Google Scholar are growing fast, thanks to the NIH public access mandate. ...

Heather A Piwowar, Wendy W Chapman (2009) DBMI training retreat 2009, Pittsburgh PA

Public Sharing of Research Datasets: A Pilot Study of Associations

2010-02-18T16:38:34Z

The public sharing of primary research datasets potentially benefits the research community but is not yet common practice. In this pilot study, we analyzed whether data sharing frequency was associated with funder and publisher requirements, journal impact factor, or investigator experience and impact. Across 397 recent biomedical microarray studies, we found investigators were more likely to p...

Heather A Piwowar, Wendy W Chapman (2009) ASIS&T and ISSI Pre-Conference: Symposium on Informetrics and Scientometrics [Published with modifications in Journal of Informetrics, 2010]

Measuring the adoption of Open Science

2009-09-05T23:38:20Z

Why measure the adoption of Open Science? As we seek to embrace and encourage participation in open science, understanding patterns of adoption will allow us to make informed decisions about tools, policies, and best practices. Measuring adoption over time will allow us to note progress and identify opportunities to learn and improve. It is also just plain interesting to see where we are, where...

Heather A Piwowar (2009) Open Science workshop at PSB 2009, Hawaii

Proposal: Foundational studies for measuring the impact, prevalence, and patterns of publicly sharing biomedical research data

2009-11-15T17:18:27Z

Presented at ASIS&T 2009 in the student awards section. The presentation contains an overview of my dissertation proposal, as 2009 winner of the Thomson Reuters Information Science Doctoral Dissertation Proposal Scholarship, administered by the ASIS&T Information Science Education Committee.

Heather A Piwowar (2009) ASIS&T Annual Meeting 2009, Student Award Presentations

pubmedi: A free, open, flexible, scriptable approach to estimating citation indices for aggregate analysis within biomedicine

2009-09-03T16:46:18Z

When looking for citation indices within biomedicine for aggreggate analysis, we suggest calculating them using data from PubMed, PubMed Central, and the Author-ity name disambiguation engine. We call this the "pubmedi" approach, and explore it further here.

Heather A Piwowar, Wendy W Chapman (2009)

Linking database submissions to primary citations with PubMed Central

2009-10-15T16:21:54Z

Background: Dataset submissions are growing exponentially. Links between dataset submissions and primary literature that describe the data collection are useful for many reasons: rich documentation, proper attribution, improved information retrieval, and enhanced text/data integration for analysis. Unfortunately, many database submissions do not include primary citation links, as database subm...

Heather A Piwowar, Wendy W Chapman (2008) BioLINK workshop at ISBM

Envisioning a Biomedical Data Reuse Registry

2009-09-04T01:37:03Z

Repurposing research data holds many benefits for the advancement of biomedicine, yet is very difficult to measure and evaluate. We propose a data reuse registry to maintain links between primary research datasets and studies that reuse this data. Such a resource could help recognize investigators whose work is reused, illuminate aspects of reusability, and evaluate policies designed to encourage ...

Heather A Piwowar, Wendy W Chapman (2008) AMIA Annual Symposium 2008, Washington DC

Prevalence and Patterns of Microarray Data Sharing

2009-09-03T19:57:55Z

Sharing research data is a cornerstone of science. Although many tools and policies exist to encourage data sharing, the prevalence with which datasets are shared is not well understood. We report our preliminary results on patterns of sharing microarray data in public databases.

Heather A. Piwowar, Wendy W. Chapman (2008) PSB 2008, Hawaii

A review of journal policies for sharing research data

2009-10-15T16:21:17Z

Sharing data is a tenet of science, yet commonplace in only a few subdisciplines. Recognizing that a data sharing culture is unlikely to be achieved without policy guidance, some funders and journals have begun to request and require that investigators share their primary datasets with other researchers. The purpose of this study is to understand the current state of data sharing policies within j...

Heather A Piwowar, Wendy W Chapman (2008) Open Scholarship: Authority, Community, and Sustainability in the Age of Web 2.0 - Proceedings of the 12th International Conference on Electronic Publishing (ELPUB)

Why study Data Sharing? (+ why share your data)

2009-09-05T23:39:04Z

A presentation to the DBMI department at the University of Pittsburgh about data sharing and reuse: what this means, why it is important, some of what we’ve learned, and what we still don’t know.

Heather A Piwowar (2008) DBMI Colloquium, University of Pittsburgh

Identifying data sharing in biomedical literature.

2009-10-15T16:22:16Z

Many policies and projects now encourage investigators to share their raw research data with other scientists. Unfortunately, it is difficult to measure the effectiveness of these initiatives because data can be shared in such a variety of mechanisms and locations. We propose a novel approach to finding shared datasets: using NLP techniques to identify declarations of dataset sharing within the fu...

Heather A Piwowar, Wendy W Chapman (2008) AMIA Annual Symposium 2008 596-600

Generalizability coefficient for Mechanical Turk annotations

2009-09-03T16:42:18Z

We conducted a pilot annotation study with Amazon’s Mechanical Turk to estimate the accuracy with which annotation tasks can be performed by this group of non-experts, the number of independent annotations necessary to get sufficient generalizability, and the cost of annotation.

Heather A Piwowar (2008) ResearchRemix blog on December 29, 2008

Proposed Foundations for Evaluating Data Sharing and Reuse in the Biomedical Literature

2009-10-15T16:22:30Z

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 difficult to evaluate the effectiveness of these pol...

Heather A Piwowar (2008) JCDL Doctoral Consortium 2008

Towards a data sharing culture: recommendations for leadership from academic health centers.

2009-09-03T15:50:48Z

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. These initiatives address the technical aspects of data sharing, but rarely focus on incentives for key stakeholders. Academic health centers (AHCs) have a critical role in enabling, encouraging, and rewarding data sh...

Heather A Piwowar, Michael J Becich, Howard Bilofsky, Rebecca S Crowley (2008) PLoS Medicine 5: 9 e183

A Baseline System for the i2b2 Obesity Challenge

2009-09-03T16:32:20Z

Henk Harkema, Heather A Piwowar, Saeed Amizadeh, John Dowling, Jeffrey Ferraro, Peter Haug, Wendy W Chapman (2008) The Second i2b2 Workshop on Challenges in Natural Language Processing for Clinical Data

Sharing Detailed Research Data Is Associated with Increased Citation Rate

2009-09-05T23:35:43Z

Sharing research data provides benefit to the general scientific community, but the benefit is less obvious for the investigator who makes his or her data available. We examined the citation history of 85 cancer microarray clinical trial publications with respect to the availability of their data. The 48% of trials with publicly available microarray data received 85% of the aggregate citations. P...

Heather A Piwowar, Roger S Day, Douglas B Fridsma (2007) PLoS ONE 2: 3 e308

Examining the uses of shared data

2009-09-03T19:58:14Z

Although not all research topics can be addressed by re-using existing data, many can. Identifying areas with frequent re-use can highlight best practices to be used when developing research agendas, tools, standards, repositories, and communities in areas which have yet to receive major benefits from shared data.

Heather A Piwowar, Douglas B Fridsma (2007) ISMB 2007, Vienna Austria

Sharing Detailed Research Data is Associated with Increased Citation Rate

2009-09-05T23:37:03Z

Heather A Piwowar, Roger S Day, Douglas B Fridsma (2007) Sharing Detailed Research Data Is Associated with Increased Citation Rate PLoS ONE 2: 3. e308 Abstract: Sharing research data provides benefit to the general scientific community, but the benefit is less obvious for the investigator who makes his or her data available. We examined the citation history of 85 cancer microarray clinical tria...

Heather A Piwowar (2007) NLM Trainee Conference, Stanford University.

Simulation of quadrature amplitude demodulation in a digital telemetry system

2009-09-05T23:57:41Z

The realization of a new wireline acquisition front end has made it possible for Schlumberger to redesign its uphole telemetry receiver. In order to achieve data rates of 500 kbits/second over standard oil well logging cables, the Digital Telemetry System uses Quatrature Amplitude Modulation (QAM) to transmit its measurement data. The demodulator involves timing recovery, filtering, cable equali...

Heather A Campbell (Piwowar) (1996)