FOA Title: 
Request for Information (RFI): Data Annotation in Biomedical Core Research Facilities and Related Needs for Community Education and Training
Grant Type: 
NOT-OD-16-091
Primary IC: 
ORIP
Release Date: 
May 17 2016
Expiration Date: 
N/A
AC Source: 
N/A
Purpose: 
Request Information RFI): Data Annotation Biomedical Core Research Facilities Related Needs Community Education Training Notice Number: NOT-OD-16-091 Key Dates Release Date: 17, 2016 Response Date: June 30, 2016 Related Announcements None Issued National Institute General Medical Sciences NIGMS) National Library Medicine NLM) Division Program Coordination, Planning Strategic Initiatives, Office Research Infrastructure Programs ORIP) Purpose Notice solicits feedback stakeholders operate use university core research facilities research centers provide specialized services generate, manage analyze high-throughput data biomedical research. issuing components recognize there multiple contributors involved creating, describing, handling high-throughput biomedical data is interested learning their practices related these activities. Background Biomedical core facilities provide access state-of-the-art instrumentation services a variety research areas, such genomics, transcriptomics, proteomics, metabolomics, cell biology, neuroscience, bioimaging. core facilities rely technologies including sequencing, electron microscopy, NMR, mass spectroscopy, flow cytometry, optical imaging, MRI, CT, others. core research facilities a crucial role ensuring high-quality, high-throughput research data generated. foster sharing future re-use the data supporting data annotation essential descriptive information: metadata. Metadata terms describe qualities a data set such file size date created) provide essential information helps others find understand scope a data set such topical keywords digital identifiers). Metadata vital the digital research enterprise they enable reproducible research simultaneously support effective data sharing. High-quality metadata also help ensure the research projects meet NIH’s goals rigor reproducibility https://www.nih.gov/research-training/rigor-reproducibility). nbsp; order more fully capitalize the wealth information contained biomedical high-throughput data, NIH launched Big Data Knowledge BD2K, https://datascience.nih.gov) initiative. BD2K aims develop new approaches, standards, methods, tools, software, competencies will enhance use biomedical Big Data supporting research, implementation, training data science other relevant fields. addressing goal, important aspect to biomedical research data resources maximally shareable reusable. connection this initiative, NIH interested learning the cores’ practices production high-quality, high-throughput data their annotation high-quality metadata. NIH interested understanding role(s) academic researchers, staff scientists the university core research facilities, other university staff such librarians IT specialists play creating essential metadata associated the data are generated. NIH interested the roles different groups in helping document features the data, processes used decide appropriate metadata, techniques used ensure the metadata robust complete, and sources standards best practices guide creation metadata datasets generated a core research facility. nbsp; Information Requested NIH invites university research communities engaged and supporting biomedical investigations comment practices related the generation handling high-throughput data. Any comments be helpful may include are limited the following areas: 1. Core research facility research center its services a) Type technical data service(s) research core/center provides; b) Current practices documenting generation high-throughput data describing output the data itself. 2. Metadata associated the data generated the research core/center a) extent which metadata related data sets generated the research core/center documented stored the records the facility; b) nature metadata developed the core/center accompany data generated, such operating system, level specificity, terminology used, other factors; c) way metadata related a data set transmitted the investigators requested data. 3. Institutional partnerships Currently existing institutional partnerships provide support training effective data generation, annotation, sharing. Partners include institutional computer/IT support, library expertise, others. 4. Approaches learn skills concepts Approaches which staff scientists others involved generating managing data set learn skills concepts relating data generation, annotation, curation, sharing. 5. Unmet needs Any unmet needs relating the development retention metadata research data sets generated core research centers, including needs training, development standards, implementing best practices supporting institutional partnerships assist effective data sharing. 6. comments Additional comments data annotation biomedical core research facilities related needs community education training. Please identify expertise area interest, example: a) Manager or staff a biomedical core facility; b) Biomedical researcher; c) Expert data management, data evaluation data curation; d) Other. to Submit Response Response this RFI must submitted the website https://dpcpsi.nih.gov/MetadataRFI June 30, 2016. Responses this RFI voluntary. RFI for planning purposes only should be construed a solicitation applications an obligation the part the Federal Government, National Institutes Health, individual NIH Institutes Centers.  government not pay the preparation any information submitted for government’s of information. information provided not considered confidential. NIH use information submitted response this RFI its discretion; submitted information be reviewed the NIH shared the NIH Institutes Centers have interest this matter. NIH not acknowledge receipt information submitted provide comments any responder. proprietary, classified, confidential, sensitive information should included your response. government reserves right use any non-proprietary technical information any resultant solicitation(s), policies procedures; responses the RFI be reflected future funding opportunity announcements. information provided be analyzed, appear reports, may shared publicly an NIH website. Inquiries Please direct inquiries to: Alena Horska, Ph.D. Office Research Infrastructure Programs ORIP) Telephone: 301-435-0815 Email: ORIP-RFI-METADATA@nih.gov
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