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http://www.nia.nih.gov/research/dgcg/clinical-research-study-investigators-toolbox

The purpose of the NIA Clinical Research Toolbox is to provide a Web-based information repository for investigators and staff involved in clinical research. The Toolbox contains templates, sample forms, guidelines, regulations and information materials to assist investigators in the development and conduct of high quality clinical research studies.

Proper citation: Clinical Research Study Investigators Toolbox (RRID:SCR_008815) Copy   

•   Source: SciCrunch Registry

http://www.med.upenn.edu/cndr/index.shtml

A research institution which conducts clinical research to understand brain dysfunction and degeneration in Alzheimer's disease (AD), Parkinson's disease (PD), Frontotemporal disease (FTD), Amyotrophic Lateral Sclerosis (ALS or Lou Gehrig's disease), and other age-related neurodegenerative disorders. This organization also houses a general training program that has a focus on drug discovery. This program teaches trainees in etiology, pathogenesis, and diagnosis and treatment of Alzheimer's disease, Parkinson's disease, frontotemporal dementias, motor neuron disease and related disorders. This program also trains Ph.D and M.D/Ph.D students, as well scientists, physicians, and veterinarians who have already completed their advanced degree and are looking for a postdoctoral research fellowship. The program is designed to give a solid background in basic and translational neuroscience, and related disciplines.

Proper citation: University of Pennsylvania Center for Neurodegenerative Disease Research (RRID:SCR_008798) Copy   

•   Source: SciCrunch Registry

http://www.muschealth.com/multimedia/Podcasts/index.aspx?type=main

The MUSChealth.com Podcast Library, featuring podcasts on a variety of topics related to your health and our services here at MUSC. These medical podcasts are hosted by MUSC faculty, physicians and special guests and are produced and directed by Linda Austin, M.D. Current topics include: * Academics and Education * Aging, Geriatrics and Caregiving * Alcohol and Drug Dependency * Allergies and Asthma * Ashley River Tower * Bones, Joints, Muscles and Spine * Cancer * Children''s Health * Cosmetic Surgery * Dental * Dermatology/Skin Problems * Diabetes, Endocrinology and Metabolism * Digestive Health * ENT: Ear, Nose and Throat * Executive Health * Eye Health * General Health and Wellness * Heart and Vascular Health * Hospice * Kohl''s Take a Minute for Kids * Lungs and Breathing * Men''s Health * Mental Health * MUSC News and Events * Neurological Health * Organ Transplant * Osteoporosis * Pregnancy - Week by Week * Pregnancy and Childbirth * Radiology * Research and Clinical Trials * SC Health, Leadership and Policy * Sports Medicine * Stroke * Urology * Weight Loss Surgery Follow-up * Weight Management * Women''s Health

Proper citation: MUSC Health Podcast Library (RRID:SCR_008827) Copy   

•   Source: SciCrunch Registry

http://www.cbtrus.org/

Voluntary, non-profit organization dedicated to collecting and disseminating statistical data. Resource for gathering and disseminating epidemiologic data on all primary benign and malignant brain and other CNS tumors.

Proper citation: Central Brain Tumor Registry of the United States (RRID:SCR_008748) Copy   

•   Source: SciCrunch Registry

http://www.openmicroscopy.org/site

Open tools to support data management for biological light microscopy produced by a multi-site collaborative effort among academic laboratories and a number of commercial entities. Designed to interact with existing commercial software, all OME formats and software are free, and all OME source code is available under the GNU General public license or through commercial license from Glencoe Software. OME is developed as a joint project between research-active laboratories at the Dundee, NIA Baltimore, and Harvard Medical School and LOCI. In addition, OME has active collaborations with many imaging and informatics groups. While many other applications could use OME''s architecture and design, their specific implementation is focused on biological and biomedical imaging. Those interested in applying OME''s technology to other applications should contact the developers. OME work is divided into several different standards and software projects: * Bio-Formats: A Java-based library for reading and writing over 90 microscopy file formats. * OMERO Software: The Java-based OMERO software project, which currently includes tools for storing, visualizing, managing, and annotating microscopic images and metadata. * OME-XML & OME-TIFF: The OME-XML and OME-TIFF file format specifications, which are open file formats for sharing microscope image data. * OME Server: This was the original OME server project which has now ended and is a legacy product. It implements image-based analysis of cellular dynamics and image-based screening of cellular localization or phenotypes, and included a fully developed version of the 2003 version of OME-XML Schema language.

Proper citation: OME - Open Microscopy Environment (RRID:SCR_008849) Copy   

•   Source: SciCrunch Registry

http://ageing-map.org/

Database of age-related changes covering different biological levels, including molecular, physiological, psychological and pathological age-related data, to create an interactive portal that serves as a centralized collection of human aging changes and pathologies. To facilitate integrative, system-level studies of aging, the DAA provides a centralized source for aging-related data as well as basic tools to query and visualize the data, including anatomical models. Data in the DAA is manually curated from the literature and retrieved from public databases. For more detailed analyses users are able to download the entire database. More information on how to use the DAA is available on the help page. The DAA primarily focuses on human aging, but also includes supplementary mouse data, in particular gene expression data, to enhance and expand the information on human aging. If you would like to contribute to the database yourself, for instance if you have new data on aging, please use the contribute page to submit your data.

Proper citation: Digital Ageing Atlas (RRID:SCR_009020) Copy   

•   Source: SciCrunch Registry

http://www.physionet.org/physiobank/database/gaitdb/

A mini-collection of human gait data that was constructed as a teaching resource for an intensive course (The Modern Science of Human Aging, conducted at MIT) that includes walking stride interval time series from 15 subjects: 5 healthy young adults (23 - 29 years old), 5 healthy old adults (71 - 77 years old), and 5 older adults (60 - 77 years old) with Parkinson's disease. For each subject, two columns of data are included. The first column is time (in seconds) and the second is the stride interval (variously known as stride time, gait cycle duration, and time between successive heel strikes of the same foot). The same data are also available as standard PhysioBank-format annotation (.str) and header (.hea) files, for viewing or analysis using PhysioToolkit software from this site. Subjects walked continuously on level ground around an obstacle-free path. The stride interval was measured using ultra-thin, force sensitive resistors placed inside the shoe. The analog force signal was sampled at 300 Hz with a 12 bit A/D converter, using an ambulatory, ankle-worn microcomputer that also recorded the data. Subsequently, the time between foot-strikes was automatically computed. The method for determining the stride interval is a modification of a previously validated method that has been shown to agree with force-platform measures, a gold standard. Data were collected from the healthy subjects as they walked in a roughly circular path for 15 minutes, and from the subjects with Parkinson's disease as they walked for 6 minutes up and down a long hallway.

Proper citation: Gait in Aging and Disease Database (RRID:SCR_006886) Copy   

•   Source: SciCrunch Registry

http://uwaging.org/genesdb/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 17,2023. A database of genes and interventions connected with aging phenotypes including those with respect to their effects on life-span or age-related neurological diseases. Information includes: organism, aging phenotype, allele type, strain, gene function, phenotypes, mutant, and homologs. If you know of published data (or your own unpublished data that you'd like to share) not currently in the database, please use the Submit a Gene/Intervention link.

Proper citation: Aging Genes and Interventions Database (RRID:SCR_002701) Copy   

•   Source: SciCrunch Registry

https://www.nia.nih.gov/alzheimers

Portal for Alzheimer's disease that compiles, archives and disseminates information about current treatments, diagnostic tools and ongoing research for health professions, people with AD, their families and the public. The Center provides informational services and referrals for AD symptoms, diagnosis and treatment for patients; clinical trial information and literature searches for researchers; training materials and guidelines for caregivers; and Spanish language resources.

Proper citation: Alzheimer's Disease Education and Referral Center (RRID:SCR_012787) Copy   

•   Source: SciCrunch Registry

http://www.grc.nia.nih.gov/branches/blsa/blsanew.htm

America''s longest-running scientific study of human aging, begun in 1958. BLSA scientists are learning what happens as people age and how to sort out changes due to aging from those due to disease or other causes. More than 1,400 men and women are study volunteers. They range in age from their 20s to their 90s. This study is currently recruiting healthy seniors over 70.

Proper citation: Baltimore Longitudinal Study of Aging (BLSA) (RRID:SCR_013148) Copy   

•   Source: SciCrunch Registry

https://omictools.com/l2l-tool

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on August 26, 2019.

Database of published microarray gene expression data, and a software tool for comparing that published data to a user''''s own microarray results. It is very simple to use - all you need is a web browser and a list of the probes that went up or down in your experiment. If you find L2L useful please consider contributing your published data to the L2L Microarray Database in the form of list files. L2L finds true biological patterns in gene expression data by systematically comparing your own list of genes to lists of genes that have been experimentally determined to be co-expressed in response to a particular stimulus - in other words, published lists of microarray results. The patterns it finds can point to the underlying disease process or affected molecular function that actually generated the observed changed in gene expression. Its insights are far more systematic than critical gene analyses, and more biologically relevant than pure Gene Ontology-based analyses. The publications included in the L2L MDB initially reflected topics thought to be related to Cockayne syndrome: aging, cancer, and DNA damage. Since then, the scope of the publications included has expanded considerably, to include chromatin structure, immune and inflammatory mediators, the hypoxic response, adipogenesis, growth factors, hormones, cell cycle regulators, and others. Despite the parochial origins of the database, the wide range of topics covered will make L2L of general interest to any investigator using microarrays to study human biology. In addition to the L2L Microarray Database, L2L contains three sets of lists derived from Gene Ontology categories: Biological Process, Cellular Component, and Molecular Function. As with the L2L MDB, each GO sub-category is represented by a text file that contains annotation information and a list of the HUGO symbols of the genes assigned to that sub-category or any of its descendants. You don''''t need to download L2L to use it to analyze your microarray data. There is an easy-to-use web-based analysis tool, and you have the option of downloading your results so you can view them at any time on your own computer, using any web browser. However, if you prefer, the entire L2L project, and all of its components, can be downloaded from the download page. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: L2L Microarray Analysis Tool (RRID:SCR_013440) Copy   

•   Source: SciCrunch Registry

http://iadrp.nia.nih.gov/content/about-cadro

A classification system developed by the National Institute on Aging and the Alzheimer's Association that can be used to integrate and compare Alzheimer's disease (AD) research portfolios from public and private organizations supporting AD research in the US and abroad. The CADRO was constructed as a three-tier classification system organized around seven major categories: five in research and two resource-related: * Category A. Molecular Pathogenesis and Pathophysiology of Alzheimer's Disease * Category B. Diagnosis, Assessment and Disease Monitoring * Category C. Translational Research and Clinical Interventions * Category D. Epidemiology * Category E. Care, Support and Health Economics of Alzheimer's Diseases * Category F. Research Resources * Category G. Consortia and Public Private Partnerships * Category H. Alzheimer's Disease - Related Dementias Using information from project abstracts and research aims, the above categories were stratified into research topics and these were further divided into research themes. The three levels of classification are meant to enable a fine-grained portfolio analysis that can inform strategic planning and funding decisions. The CADRO was developed as a dynamic portfolio analysis tool that can be used to: (i) capture the changing landscape of AD research funded by different organizations, (ii) identify opportunities for coordination of support for AD research, and (iii) identify funding gaps as well as areas of overlap within and across organizations.

Proper citation: CADRO (RRID:SCR_004046) Copy   

•   Source: SciCrunch Registry

http://www.chargeconsortium.com/

Consortium formed to facilitate genome-wide association study meta-analyses and replication opportunities among multiple large and well-phenotyped longitudinal cohort studies. A bibliography of CHARGE publications is available. Its founding member cohorts include: * Age, Gene, Environment, Susceptibility Study -- Reykjavik * Atherosclerosis Risk in Communities Study * Cardiovascular Health Study * Framingham Heart Study * Rotterdam Study Additional core cohorts include: * Coronary Artery Risk Development in Young Adults * Family Heart Study * Health, Aging, and Body Composition Study * Jackson Heart Study * Multi-Ethnic Study of Atherosclerosis

Proper citation: Cohorts for Heart and Aging Research in Genomic Epidemiology (RRID:SCR_004034) Copy   

•   Source: SciCrunch Registry

http://datashare.ucsf.edu/

Platform to facilitate sharing, discovery, and secure access to UCSF biomedical data. It''s powered by the Dataverse Network platform, which supports a variety of data types, as well as attribution and licensing needs. Researchers may share datasets, discover data from other labs, and reuse data. Links to tools and information that help scientists properly organize, manage, and document their datasets are also provided.

Proper citation: UCSF DataShare (RRID:SCR_004340) Copy   

•   Source: SciCrunch Registry

http://www.icpsr.umich.edu/

Data archive of more than 500,000 files of research in the social sciences, hosting 16 specialized collections of data in education, aging, criminal justice, substance abuse, terrorism, and other fields. ICPSR comprises a consortium of about 700 academic institutions and research organizations providing training in data access, curation, and methods of analysis for the social science research community. ICPSR welcomes and encourages deposits of digital data. ICPSR's educational activities include the Summer Program in Quantitative Methods of Social Research external link, a comprehensive curriculum of intensive courses in research design, statistics, data analysis, and social methodology. ICPSR also leads several initiatives that encourage use of data in teaching, particularly for undergraduate instruction. ICPSR-sponsored research focuses on the emerging challenges of digital curation and data science. ICPSR researchers also examine substantive issues related to our collections, with an emphasis on historical demography and the environment.

Proper citation: Inter-university Consortium for Political and Social Research (ICPSR) (RRID:SCR_003194) Copy   

•   Source: SciCrunch Registry

http://www.ucsd.tv/stein/

Videos and podcasts presenting the latest innovative research being conducted by the Stein Institute for Research on Aging medical faculty, with the aim of promoting healthy aging. Additionally, many of the public lectures from the Public Lecture Series are also available on UCSD-TV's website video on demand programming. The Lecture series allows affiliated faculty members of the Stein Institute for Research on Aging and other scientists from the UCSD School of Medicine, as well as individuals from surrounding academic and research institutions, to present the latest findings in their respective fields of expertise and share their present work with the general community. All of these lectures focus on topics related to healthy aging or age-related diseases.

Proper citation: Stein Institute for Research on Aging Video Archive (RRID:SCR_003761) Copy   

•   Source: SciCrunch Registry

http://aging.ucsd.edu/

Portal dedicated to the development and application of the latest advances in biomedical and behavioral science knowledge to issues of successful, healthy aging and the prevention and reduction of the burden of disability and disease in late life. Additionally, they provide numerous grants to junior faculty, as well as education programs for doctors and researchers through monthly Grand Rounds. From studying memory to identifying genes with important roles in aging, Stein Institute scientists are continuously pushing the boundaries of knowledge. One of their most promising ongoing projects is the Successful AGing Evaluation (SAGE) Study. SAGE is the only large-scale study on successful aging that considers the impact of positive psychological traits, such as resilience and wisdom, in addition to biological factors, providing a much more complete picture of older adults. Their monthly public lectures presented by renowned physicians and scientists are broadcast on UCSD-TV and have been viewed more than one billion times. This year they partnered with the Clinical and Translational Research Institute and the Osher Lifelong Learning Institute to organize Making Sense of Science, a course for older adults interested in science and health. In addition, They distribute a free monthly newsletter and work extensively with the community, participating in numerous events and conferences.

Proper citation: Stein Institute for Research on Aging (RRID:SCR_003759) Copy   

•   Source: SciCrunch Registry

http://www.afar.org/

A non-profit organization that supports the advance of healthy aging through biomedical research.

Proper citation: American Federation for Aging Research (RRID:SCR_000806) Copy   

•   Source: SciCrunch Registry

http://knightadrc.wustl.edu/

The Charles F. and Joanne Knight Alzheimer Disease Research Center (Knight ADRC) supports researchers and our surrounding community in their pursuit of answers that will lead to improved diagnosis and care for persons with Alzheimer disease (AD). The Center is committed to the long-term goal of finding a way to effectively treat and prevent AD. The Knight ADRC facilitates advanced research on the clinical, genetic, neuropathological, neuroanatomical, biomedical, psychosocial, and neuropsychological aspects of Alzheimer disease, as well as other related brain disorders.

Proper citation: Washington University School of Medicine Knight Alzheimers Disease Research Center (RRID:SCR_000210) Copy   

•   Source: SciCrunch Registry

http://scicrunch.org/Aging

Portal devoted to aging relevant scientific data and resources.

Proper citation: Aging Portal (RRID:SCR_000496) Copy   

•   Source: SciCrunch Registry