The overall goal of this workshop is to learn what has worked and what has not worked in community-based standards efforts. Participants will have experience in leading specific community based standards initiatives. Prior to the workshop, participants will be asked to address in writing answers to specific questions regarding formulating, conducting, and maintaining such efforts. This information will be used to facilitate focused and actionable discussion at the workshop. Issuance of a Request for Information soliciting comment from the broader community on some of the key issues addressed in the workshop is currently envisioned.Contact: BD2Kworkshops@mail.nih.gov
Agenda: Frameworks for Community-Based Standards Efforts (PDF 40.7KB)
Participant List: Roster of Invited Participants (PDF 32KB)
Enabling Research Use of Clinical Data
September 11, 2013 - September 12, 2013
Co-Chairs: Robert M. Califf, M.D. and Daniel R. Masys, M.D.
This workshop will identify actionable steps that NIH can take (alone and with others) to enable research use of clinical data, e.g., in pragmatic clinical trials, observational studies, and genome-phenome relationships using electronic health records and other clinical data. In particular, we will consider needs for: 1) research and development of new technologies and methods; 2) common infrastructure to enable the future research scenarios; and 3) policy changes necessary to facilitate progress.Contact: BD2Kworkshops@mail.nih.gov
Videocast Day 1: http://videocast.nih.gov/summary.asp?Live=13122
Videocast Day 2: http://videocast.nih.gov/summary.asp?Live=13124
This workshop seeks to identify the least duplicative and burdensome, and most sustainable and scalable method to create and maintain an NIH Data Catalog. An NIH Data Catalog would make biomedical data findable and citable, as PubMed does for scientific publications, and would link data to relevant grants, publications, software, or other relevant resources. The Data Catalog would be integrated with other BD2K initiatives as part of the broad NIH response to the challenges and opportunities of Big Data and seek to create an ongoing dialog with stakeholders and users from the biomedical community.
This workshop provided recommendations that will guide NIH staff in the development of long- and short-term training initiatives, which aim to prepare and empower the biomedical research community to take full advantage of Big Data. The workshop will (a) identify the knowledge and skills needed by individuals and by collaborating teams to work productively with biomedical Big Data, and (b) discuss resources and programs needed to help both trainees and practicing scientists acquire the identified knowledge and skills.Contact: BD2Kworkshops@mail.nih.gov
Agenda: Workshop on Enhancing Training for Biomedical Big Data Agenda (PDF 149KB)
Videocast Day 1: http://videocast.nih.gov/summary.asp?live=12972
Videocast Day 2: http://videocast.nih.gov/summary.asp?live=12974
Applicant Information Webinar for RFA-HG-14-001 BD2K-LINCS-Perturbation Data Coordination and Integration Center (DCIC) (U54)
January 13, 2014 - 1:00 - 2:30 PM E.T.
Chairs: Dr. Jennie Larkin & Dr. Ajay Pillai
An Applicant Information Webinar will be held on Monday, January 13, 2014, from 1:00 – 2:30 pm ET, to provide information about the Library of Integrated Network-based Cellular Signatures (LINCS) FOA to prospective applicants. This FOA seeks applications to develop a data coordination and integration center (DCIC) that will address the opportunities and challenges provided by two major NIH efforts: Big Data to Knowledge (BD2K) and the Library of Integrated Network-Based Cellular Signatures (LINCS). The NIH expects that this BD2K-LINCS DCIC will focus on perturbagen-response data and signatures while ensuring that the resulting resources are effectively utilized by the community by addressing challenges related to biomedical Big Data. A successful DCIC will ensure consistent annotation of data and tools generated within the LINCS program; incorporate (without replicating databases) relevant non-LINCS perturbation data into the LINCS resource; support integration of relevant data, signatures, and tools to allow for seamless exploration of the (LINCS) program’s output by a broad range of biomedical researchers; support linkages to outside knowledge bases, data portals, and resources; support training in perturbation-data science skills; build innovative access and query tools to disparate databases hosting multiple data types; and disseminate the resulting tools and resources to the broad range of biomedical researchers. Related FOAs of relevance to the DCIC include RFA-RM-13-013 soliciting applications for LINCS data and signature generation and RFA-HG-13-009 soliciting applications for BD2K Centers of Excellence.
Funding Opportunities: http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-001.html
Information on how to participate in the webinar:
Audio: Dial: 1-800-779-8174
Participant Code: 38-60-157
Slides with background information that will be displayed during the webinar will be available at www.lincsproject.org shortly before the webinar begins. A document with the questions and responses addressed during the webinar, and an audio recording of the webinar will also be made available on this website.
Applicant Information Webinar for RFA HG-13-009 Centers of Excellence for Big Data Computing in the Biomedical Sciences (U54)
September 12, 2013, 3:00pm - 5:00pm EDT
Chair: Dr. Carson Loomis
This webinar will provide information about the FOA (RFA HG-13-009) to prospective applicants. NIH staff will provide an overview of the FOA and answer questions. The webinar is open to all prospective applicants. Participation in the teleconference is not a prerequisite for applying, and is not required for a successful application.
Potential applicants are encouraged to submit their questions or comments to BD2KCenterRFA@mail.nih.gov prior to the meeting. Afterwards, the webinar slides and a summary of the questions and answers will be posted on the site.
Click here for Frequently Asked Questions (FAQs) and answers; this information may be updated without additional notice.
Video Transcript: Centers of Excellence for Big Data Computing in Biomedical Sciences (U54) Webinar (PDF 71KB)
- Predoctoral Training in Biomedical Big Data Science (T32)
- Revisions to Add Biomedical Big Data Training to Active Institutional Training Grants (T32)
- Revisions to Add Biomedical Big Data Training to Active NLM Institutional Training Grants in Biomedical Informatics (T15)
- Important Information for BD2K Centers RFA HG-13-009 Applicants
April 15, 2014
- NIH Names Dr. Philip E. Bourne First Associate Director for Data Science
December 9, 2013
- NIH commits $24 million annually for Big Data Centers of Excellence
July 22, 2013
- NIH to recruit Associate Director for Data Science
January 10, 2013