Highly synergistic collaborative efforts among determined, skilled, and professional investigators often produce novel insights greater than those that could have been generated by a single effort. It is in this regard that the Administration Component will work fervently to foster collaboration and promote multi-institutional productivity through providing integral organization, management, and support of the proposed multilayered BD2K Initiative Center. Specifically, the Administration Component serves a fundamental role in the success of the three main Components of the Center, namely. Data Science Research (DSR), Training, and Consortium Activities, as well as in collaboration among all BD2K Centers, the NIH, and the greater biomedical scientific community. The Administration Component aims to support the mission of the NIH BD2K Initiative by providing administrative assistance with the following Specific Aims;In our capacity within our own Center, we plan: 1a. To support the Center and the mission of the NIH BD2K Initiative in providing innovative research and effective technological engineering of software and computational tools, with a central theme for the organization, management, and processing of Big Data for biomedical research. 1b. To coordinate meetings, workshops, and seminars in an effort to promote collaboration among the various components of the Center and to nurture productivity across Components. 1c. To manage the daily activities of the Center including budgeting, travel reservations, website maintenance, and other critical administrative tasks. In our activities beyond our own Center, we aim: 2a. To promote the dissemination of software, tools, and knowledge by generating a more profound interest in Big Data analysis, modeling, and literacy thereby eliciting a substantial impact on the scientific community. 2b. To foster a working relationship between the community and scientific researchers with bioinformatics knowledge and tools through the effective dissemination of data and products generated by the Center, thus propelling innovations and advancement in Big Data research. Under the leadership of N|H, we aim to support the scientific and educational goals of the NIH BD2K Initiative in overcoming challenges and revitalizing the integration of Big Data Science and biomedical research.
The Administration Component aims to provide- specialized and unique services to the proposed BD2K Center. By providing distinct support on an individualized level, the Administration Component will be able to effectively coordinate interactions among all Components and maximize the synergy of the entire Center. The Administration Component serves to ensure the overall focus of the Components in relation to the mission of the Center and NIH, to engage in collaborations within the Center and within the NIH BD2K Consortium, to promote and disseminate Center products, innovations and tools, and to foster a multi-institutional group of highly synergistic experts committed to achieving a common goal.
| Lindsey, Merry L (2018) Assigning matrix metalloproteinase roles in ischaemic cardiac remodelling. Nat Rev Cardiol 15:471-479 |
| Lindsey, Merry L; Mouton, Alan J; Ma, Yonggang (2018) Adding Reg3? to the acute coronary syndrome prognostic marker list. Int J Cardiol 258:24-25 |
| Brooks, Heddwen L; Lindsey, Merry L (2018) Guidelines for authors and reviewers on antibody use in physiology studies. Am J Physiol Heart Circ Physiol 314:H724-H732 |
| Yates 3rd, John R (2018) Content Is King: Databases Preserve the Collective Information of Science. J Biomol Tech 29:1-3 |
| Sallam, Tamer; Sandhu, Jaspreet; Tontonoz, Peter (2018) Long Noncoding RNA Discovery in Cardiovascular Disease: Decoding Form to Function. Circ Res 122:155-166 |
| Lindsey, Merry L; Bolli, Roberto; Canty Jr, John M et al. (2018) Guidelines for experimental models of myocardial ischemia and infarction. Am J Physiol Heart Circ Physiol 314:H812-H838 |
| Ma, Yonggang; Mouton, Alan J; Lindsey, Merry L (2018) Cardiac macrophage biology in the steady-state heart, the aging heart, and following myocardial infarction. Transl Res 191:15-28 |
| Fabregat, Antonio; Sidiropoulos, Konstantinos; Viteri, Guilherme et al. (2018) Reactome diagram viewer: data structures and strategies to boost performance. Bioinformatics 34:1208-1214 |
| Lindsey, Merry L; Gray, Gillian A; Wood, Susan K et al. (2018) Statistical considerations in reporting cardiovascular research. Am J Physiol Heart Circ Physiol 315:H303-H313 |
| Liem, David A; Murali, Sanjana; Sigdel, Dibakar et al. (2018) Phrase mining of textual data to analyze extracellular matrix protein patterns across cardiovascular disease. Am J Physiol Heart Circ Physiol 315:H910-H924 |
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