SOLICITATION NOTICE
R -- N/A
- Notice Date
- 4/5/2005
- Notice Type
- Solicitation Notice
- NAICS
- 541511
— Custom Computer Programming Services
- Contracting Office
- Department of Health and Human Services, National Institutes of Health, Clinical Center/Office of Purchasing & Contracts, 6707 Democracy Blvd, Suite 106, MSC 5480, Bethesda, MD, 20892-5480
- ZIP Code
- 20892-5480
- Solicitation Number
- Reference-Number-LL63984
- Response Due
- 4/14/2005
- Archive Date
- 4/29/2005
- Small Business Set-Aside
- Total Small Business
- Description
- Statement of Work Project Title Scientific Computing Data Mining Support Department Clinical Research Information Systems Clinical Center National Institutes of Health Performance Period April 18, 2005 ? April 18, 2006 (approximately) Summary The Scientific Computing Section (SCS) is a component of the NIH Clinical Center that reports directly to the Clinical Center?s Chief Information Officer and Associate Director for Clinical Research Information Systems. The purpose of SCS is to promote the application of advanced computer science methods to the biomedical sciences. Data mining ? the exploration of data with intelligent computing tools to find new knowledge - is an important activity in the SCS. This Statement of Work calls for contractor support in the SCS?s data mining pursuits. Background The National Institutes of Health (NIH) is the nation's foremost federally funded biomedical research institution. It has both intramural and extramural components. The intramural component consists of twenty-four Institutes, and Centers, including the NIH Clinical Center in Bethesda, Maryland. This Clinical Center is now composed of two physically adjoining Clinical Centers that are clinical research hospitals providing medical services for inpatients and outpatients participating in human research protocols conducted by the intramural program of the NIH. The Clinical Centers provide patient facilities as well as the general services necessary for clinical investigations by the NIH Institutes. They also conduct research in related areas of clinical medicine and supervise residency and other training programs. The oldest of the two Clinical Centers is the Warren Grant Magnuson Clinical Center. This hospital facility is comprised of three million square feet of clinical, laboratory, and administrative space with the capacity to serve three hundred and fifty inpatients participating in research studies at the NIH. Increasing demands for space, both for research and expanded services, coupled with the facility's advancing age, spurred development and construction of a new clinical research center, the Mark O. Hatfield Clinical Research Center (CRC), which opened in late 2004. The new CRC includes modern research facilities and a 220-bed hospital, outpatient care capability. As part of the infrastructure for patient care the Clinical Center upgraded its 30 year Medical Information System (MIS) to a best-of-breed Clinical Research Information System (CRIS) which went live in August, 2004. The CRIS project represents a comprehensive effort to modernize the systems that supports clinical care and the collection of research data for the intramural clinical research programs of the NIH. The CRIS project has been under the direction of the Department of Clinical Research Informatics (DCRI) within the NIH Clinical Center. DCRI has been responsible for processes and systems that directly affect users in the health care delivery and research settings. Work in DCRI has focused on the analysis and evaluation of clinical research computational needs and requirements, the development of design options that support the work processes of clinical research, and the implementation and management of responsive computer science methodology solutions. The Scientific Computing Section (SCS) reports directly to the Clinical Center?s Chief Information Officer who is also the Associate Director of Clinical Research Information Systems. The SCS supports and promotes organizational goals by seeking and engaging in active collaborative work with CRIS clinical research protocol users as well as with other biomedical researchers within the NIH Intramural Program and with members of academia and industry. In this work, knowledge in both the biomedical sciences and the computing sciences is advanced, and practical results that lead to better health care are realized. Data mining ? the exploration of data with intelligent computing tools to find new knowledge - is an important activity in the SCS. The work described in this Statement of Work will be guided and performed under the auspices of the SCS Purpose of The Contract The purpose of this Contract is to engage the services of a Contractor to support specific data mining activities in the DCRI Scientific Computing Section through the performance of the tasks listed and described below. These tasks are divided into four major categories, namely Hardware, Software, Administrative and Collaboration. Contract Tasks This Contract calls for contractor support for certain data mining activities in the DCRI Scientific Computing Section (SCS). The notion ?data mining? as used here is intended to convey the idea of using existing data to discover new biomedical knowledge, or to suggest new hypotheses worthy of exploring. This is in contrast (but complementary to) the more traditional hypothesis driven model more typical in biomedical research. ?Multidisciplinary research team,? another notion used here, suggests that a team approach to data mining is emphasized. Such teams would be comprised of biomedical research scientists, computer scientists, statisticians, technical writers, etc. In short, whatever skills needed to achieve rapid, high-quality results from data mining efforts would be brought together under this multidisciplinary team concept. Administrative and technical experience gained within the NIH Biomedical Computing Interest Group (BCIG) Biomedical Data Mining Multidisciplinary Research Team (BDMMRT) will be drawn upon and utilized in pursuing this data mining work. There are four major task groups to be accomplished under this Statement of Work. These task groups are referred to as H=HARDWARE, S=SOFTWARE, A=ADMINISTRATIVE, and C=COLLABORATION. All four-task groups span over the entire Statement of Work period (approximately one year) and the subtasks specified under each task group are to be worked on asynchronously, i.e. in a time-parallel multi-tasking fashion. Each of these four major task groups subsumes four subtask classes, which are to be performed in each of four periods where each period runs over an approximate 90 days (quarter year) time span. Thus, the total number of tasks over the entire Contract is sixteen, and the entire Contract will run approximately one year. An overview of the tasks and the timeline is shown in Figure 1. The sub-tasks are defined in a general manner below. It is to be understood that more detailed definitions of these subtasks can only evolve and be made more explicit as data mining efforts progress. It is also to be understood that the Contractor will work closely with the Contract Officer to develop more detailed descriptions of the sub-tasks based on the experience and the knowledge gained as work progresses. The four major task groups and their associated sub-tasks are as follows: HARDWARE (H) CRIS Data Warehouse: The Clinical Research Information System (CRIS) has been operational in the NIH Clinical Center since August 2004. The CRIS system is a transactional repository system, meaning that it stores data in perpetuity, but it is designed for by-patient access of clinical information. Discussion is underway within DCRI to design and develop a CRIS Data Warehouse System that should provide the capability to query across patients with performance optimized for such queries and no issues of compromising clinical system performance. The CRIS Data Warehouse hardware task group referred to here calls for the Contractor to consult with other DCRI representatives who are directly responsible for developing and implementing the CRIS Data Warehouse. It will be the Contractor?s responsibility to clearly communicate the CRIS data acquisition needs of the clinical protocol researchers engaged in data mining collaborations with the SCS. DLM Data Warehouse: The NIH Clinical Center Department of Laboratory Medicine (DLM) uses a server developed in 2004 to capture, preserve, and run quality control and error reduction software on data emanating from laboratory instruments in the DLM environment. This server serendipitously also serves as a data warehouse. This DLM Data Warehouse hardware task group calls for on-going maintenance and use of this server as a data warehouse for extracting data used in clinical data mining projects including on-going laboratory instrument quality control and laboratory error reduction projects as well as data visualization projects conducted collaboratively among members of DLM and SCS. Auxiliary Servers: This hardware task group refers to building, maintaining, and using hardware servers other than the CRIS and DLM data warehouses just described. The primary functions of these other servers are web hosting, data sharing, software sharing and multidisciplinary collaborative research. Web Site Development and Maintenance: This hardware task group calls for support in developing and maintaining a web site for the SCS and assistance in the maintenance of the NIH Biomedical Computing Interest Group (BCIG) web site. SOFTWARE (S) Software Search, Identification and Evaluation: This software task group calls for continuous monitoring of available software appropriate for use in the SCS. All resources are to be considered including industry, and open source.. Assessing the potential utility of discovered software to fulfill the objectives of the SCS is also called for here. Specific recommendations for in-house software development when called for are also expected within this task group. Software Acquisition and Implementation: This software task group calls for support in the acquisition and implementation of appropriate software that will be used in SCS hosted data mining projects. Data Acquisition and Preparation: This software task group calls for acquiring and preparing data for data mining purposes. Data will be acquired from multiple sources such as the servers mentioned under ?Hardware? above as well as other servers, databases and from spreadsheet files provided by SCS collaborators. Software Design and Development: This software task group calls for support in the design, development and implementation of system and application software. It is expected that the Contractor will work closely with the Contract Officer and perhaps others in extreme programming fashion to produce this software. ADMINISTRATIVE (A) Strategic Planning: This administrative task group requires the Contractor to assist in the overall administrative, strategic, and operational plans for the SCS. Communication: This administrative task group calls for advertising the SCS to potential collaborators by planning and announcing services and user focus group sessions arranged according to common computational needs. Documentation: This administrative task group calls for documenting all significant data mining work performed under this Contract. Publication: This administrative task group calls for Contractor participation in the preparation of scientific and technical papers relating to both the computer science and biomedical science aspects of work accomplished under this Contract. COLLABORATION (C) Collaborator Recruitment: This collaboration task group calls for the Contractor to actively engage in recruiting collaborators to participate in the SCS data mining collaborations. Domain Understanding: This collaboration task group calls for the contractor to study and understand the nature of the SCS collaborators? research. Data Understanding: This collaboration task group requires the Contractor to understand in detail the scientific nature and meaning of the SCS collaborators? data. Training: This collaboration task group calls for demonstrating and training biomedical researchers using the computational data mining tools promoted by the SCS. QUARTERLY TASKS 1st Quarter Tasks: Task H1. HARDWARE H11 CRIS Data Warehouse H12 DLM Data Warehouse H13 Auxiliary Servers H14 Web Site Development and Maintenance Task S1. SOFTWARE S11 Software Search, Identification and Evaluation S12 Software Acquisition and Implementation S13 Data Acquisition and Preparation S14 Software Design and Development Task A1. ADMINISTRATIVE A11 Strategic Planning A12 Communication A13 Documentation A14 Publication Task C1. COLLABORATION C11 Collaborator Recruitment C12 Domain Understanding C13 Data Understanding C14 Training 2nd Quarter Tasks Task H2. HARDWARE H21 CRIS Data Warehouse H22 DLM Data Warehouse H23 Auxiliary Servers H24 Web Site Development and Maintenance Task S2. SOFTWARE S21 Software Search, Identification and Evaluation S22 Software Acquisition and Implementation S23 Data Acquisition and Preparation S24 Software Design and Development Task A2. ADMINISTRATIVE A21 Strategic Planning A22 Communication A23 Documentation A24 Publication Task C2. COLLABORATION C21 Collaborator Recruitment C22 Domain Understanding C23 Data Understanding C24 Training 3rd Quarter Tasks Task H3. HARDWARE H31 CRIS Data Warehouse H32 DLM Data Warehouse H33 Auxiliary Servers H34 Web Site Development and Maintenance Task S3. SOFTWARE S31 Software Search, Identification and Evaluation S32 Software Acquisition and Implementation S33 Data Acquisition and Preparation S34 Software Design and Development Task A3. ADMINISTRATIVE A31 Strategic Planning A32 Communication A33 Documentation A34 Publication Task C3. COLLABORATION C31 Collaborator Recruitment C32 Domain Understanding C33 Data Understanding C34 Training 4th Quarter Tasks Task H4. HARDWARE H41 CRIS Data Warehouse H42 DLM Data Warehouse H43 Auxiliary Servers H44 Web Site Development and Maintenance Task S4. SOFTWARE S41 Software Search, Identification and Evaluation S42 Software Acquisition and Implementation S43 Data Acquisition and Preparation S44 Software Design and Development Task A4. ADMINISTRATIVE A41 Strategic Planning A42 Communication A43 Documentation A44 Publication Task C4. COLLABORATION C41 Collaborator Recruitment C42 Domain Understanding C43 Data Understanding C44 Training Contract Deliverables The Contract deliverable are as follows: Deliverable 1: Completion of the first quarter tasks Deliverable 2: Completion of the second quarter tasks Deliverable 3: Completion of the third quarter tasks Deliverable 4: Completion of the fourth quarter tasks Timeline:Award of Contract Timeline starts Deliverable 1 expected (approximately) Timeline: + 90 days Deliverable 2 expected (approximately) Timeline: + 90 days Deliverable 3 expected (approximately) Timeline: + 90 days Deliverable 4 expected (approximately) Timeline: + 90 days Deliverable dates are flexible and may occur earlier or later than the approximate time points suggested above. When a deliverable is completed, the next deliverable is expected approximately 90 days later. Program Management and Control Requirements The Contractor will meet initially with the Project Officer to review the project objectives and timeline for completion of the proposed deliverables. The Contractor will meet no less than once per month with the Project Officer to review progress and resolve problems that might occur. Reporting Requirements The Contractor is expected to provide bi-weekly oral reports at meetings with the Project Officer. In addition, the Contractor is expected to provide brief informal monthly written status reports to the Project Officer. The verbal and written reports will describe the status of all tasks associated with deliverables. Government Provided Facilities The Government will provide the Contractor with the necessary facilities to support task completion, including office work space, desktop computers and necessary, software and network services. Security Any personal data collected and/or used under this Contract is subject to the Privacy Act Clause (FAR 52.224-2). The Contractor will use any Privacy Act information provided by the Government or other Government contractors for the purposes authorized by this Contract only and for no other. The Contractor will not provide the information to any other person or entity, unless explicitly directed. Each person providing service under this proposal will be required to sign a document of understanding stating that he/she understands and will comply with Privacy Act requirements. Figure 1. Overview of tasks and timeline (H=HARDWARE, S=SOFTWARE, A=ADMINISTRATIVE, and C=COLLABORATION). H1 TASKS --- H2 TASKS --- H3 TASKS --- H4 TASKS S1 TASKS --- S2 TASKS --- S3 TASKS --- S4 TASKS A1 TASKS --- A2 TASKS --- A3 TASKS --- A4 TASKS C1 TASKS --- C2 TASKS --- C3 TASKS --- C4 TASKS TO=TO+ T2=T1+ T3=T2+ T4=T3+ 90 DAYS 90 DAYS 90 DAYS 90 DAYS (APX.) (APX) (APX) (APX) NIH will award this solicitation based on best value, this is small business set-aside. Pleas provide a quote along with a capability statement and resume to amcgee@cc.nih.gov. Only electronic submissions will be accepted. Any questions please submit via email to amcgee@cc.nih.gov only, no phone calls will be accepted regarding this solicitation. No questions will be accepted after April 11, 2005.
- Place of Performance
- Address: 9000 Rockville Pike, Bethesda, MD
- Zip Code: 20892
- Country: USA
- Zip Code: 20892
- Record
- SN00781941-W 20050407/050405211917 (fbodaily.com)
- Source
-
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