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http://www.cochrane.org/reviews/clibintro.htm

Contains data to inform healthcare decision-making from Cochrane and other systematic reviews, clinical trials, and more. Cochrane reviews bring you the combined results of the worlds best medical research studies, and are recognized as the gold standard in evidence-based health care. Consists of a regularly updated collection of evidence-based medicine databases, including The Cochrane Database of Systematic Reviews. This database includes systematic reviews of healthcare interventions that are produced and disseminated by The Cochrane Collaboration. It is published on a monthly basis and made available both on CD-ROM and the Internet. The review abstracts are available to browse and search free of charge on this website. The Cochrane Library Users'' Group (CLUG) provides a forum for discussion of usability, readability, searchability, and formatting issues related to the use of The Cochrane Library. The Cochrane Collaboration is an international not-for-profit and independent organization, dedicated to making up-to-date, accurate information about the effects of healthcare readily available worldwide. Funded by John Wiley and Sons Limited. The individual entities of The Cochrane Collaboration are funded by a large variety of governmental, institutional and private funding sources, and are bound by organisation-wide policy limiting uses of funds from corporate sponsors.

Proper citation: Cochrane Library (RRID:SCR_013000) Copy   

•   Source: SciCrunch Registry

https://github.com/ABCD-STUDY/redcap-importer

Software that automates the process of retrieving and converting data to the format of a RedCap table and allows selection of directories and files for import.

Proper citation: redcap-importer (RRID:SCR_016032) Copy   

•   Source: SciCrunch Registry

http://aws.amazon.com/1000genomes/

A dataset containing the full genomic sequence of 1,700 individuals, freely available for research use. The 1000 Genomes Project is an international research effort coordinated by a consortium of 75 companies and organizations to establish the most detailed catalogue of human genetic variation. The project has grown to 200 terabytes of genomic data including DNA sequenced from more than 1,700 individuals that researchers can now access on AWS for use in disease research free of charge. The dataset containing the full genomic sequence of 1,700 individuals is now available to all via Amazon S3. The data can be found at: http://s3.amazonaws.com/1000genomes The 1000 Genomes Project aims to include the genomes of more than 2,662 individuals from 26 populations around the world, and the NIH will continue to add the remaining genome samples to the data collection this year. Public Data Sets on AWS provide a centralized repository of public data hosted on Amazon Simple Storage Service (Amazon S3). The data can be seamlessly accessed from AWS services such Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Elastic MapReduce (Amazon EMR), which provide organizations with the highly scalable compute resources needed to take advantage of these large data collections. AWS is storing the public data sets at no charge to the community. Researchers pay only for the additional AWS resources they need for further processing or analysis of the data. All 200 TB of the latest 1000 Genomes Project data is available in a publicly available Amazon S3 bucket. You can access the data via simple HTTP requests, or take advantage of the AWS SDKs in languages such as Ruby, Java, Python, .NET and PHP. Researchers can use the Amazon EC2 utility computing service to dive into this data without the usual capital investment required to work with data at this scale. AWS also provides a number of orchestration and automation services to help teams make their research available to others to remix and reuse. Making the data available via a bucket in Amazon S3 also means that customers can crunch the information using Hadoop via Amazon Elastic MapReduce, and take advantage of the growing collection of tools for running bioinformatics job flows, such as CloudBurst and Crossbow.

Proper citation: 1000 Genomes Project and AWS (RRID:SCR_008801) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/bstp/

A free collection of MRI brain images for testing segmentation algorithms. It is available for download to assess the accuracy, reproducibility and sensitivity of MRI segmentation software. It includes data from infants and adults as well as patients with Alzheimer's disease.

Proper citation: Brain Segmentation Testing Protocol (RRID:SCR_009445) Copy   

•   Source: SciCrunch Registry

http://www.rand.org/labor/FLS/MHSS.html

A data set of the health and socioeconomic factors that affect the elderly in Matlab, a region of rural Bangladesh. The survey captures measurements and statistics such as adult survival, health status, health care utilization, resource flows between generations and the impact of community services and infrastructure on adult health care. Data was collected through surveys that touch on four topics: household and individual information; determinants of natural fertility; migration out of the community; and community and provider survey of healthcare and education infrastructure.

Proper citation: Matlab Health and Socio-Economic Survey (RRID:SCR_008942) Copy   

•   Source: SciCrunch Registry

https://med.stanford.edu/compmed/TrainingforPre-DVM-T35-and-DVMs-T32/summer.html

The program seeks to help veterinary students become biomedical researchers. A secondary goal is to provide research experience to veterinary students interested in careers in laboratory animal medicine and/or pathology. Previous participants were veterinary students at Colorado State University, Cornell University, Kansas State University, Michigan State University, North Carolina State University, Ohio State University, Purdue University, Tufts University, Tuskegee University, University of California, University of Illinois, University of Tennessee, Washington State University, and Western University. The Program consists of workshops on research-related topics, a veterinary student journal club, sessions on research career development for veterinarians, an individual research project, and a veterinary student research symposium. The research project is the most important part of the Program. The goals of the research project are to have students address a significant experimental question, work independently and with other researchers, and produce and publish results. Students are matched with a preceptor (see list of faculty below) according to research interests. The preceptor outlines a focused project for the student to perform in their laboratory. Students become completely involved in their assigned laboratory participating in laboratory meetings and social events, attending seminars with other members of their laboratory, and working on their research project at least 40 hours/week.

Proper citation: Summer Fellowships - Comparative Medicine (RRID:SCR_008306) Copy   

•   Source: SciCrunch Registry

https://www.vet.k-state.edu/research/docs/BRITE-application.pdf

The BRITE Veterinary Student Program provides DVM students interested in research with a subsidized, in-depth mentored research experience. The opportunity can be used to gain research experience, to obtain an MS, or to jump-start a DVM/PhD program. The BRITE veterinary student program is designed to expose DVM students to hypothesis-driven research activities, methodologies involved in design and execution of laboratory experiments and ethical issues pertinent to biomedical research, at a formative stage of their veterinary education. BRITE veterinary students are given a unique opportunity to utilize the rigorous didactic basic science training obtained during the first two years of the professional curriculum in pursuit of a research problem relevant to human and animal health. Sponsors: The program is funded by Kansas State University.

Proper citation: Basic Research Immersion Training Experience Veterinary Student Program (RRID:SCR_008305) Copy   

•   Source: SciCrunch Registry

http://www.vetmed.lsu.edu/Summer_Scholars_Program.htm

The aim of the Summer Scholars Program is to provide veterinary medical students the opportunity to explore the world of biomedical research, develop and complete a biomedical research project during the summer. The intent is to engage students in a creative, problem-solving research activity and to provide a learning experience that will lead to the discovery of new knowledge in an area of their choosing and identify potential pathways to a career in biomedical research. Research plans will be developed by students with faculty mentor input, on any topic of interest to the student and likely to lead to the discovery of new information. Example topics are: immunology and infectious diseases, cancer biology, molecular epidemiology, experimental studies focused on nutrition and obesity, pharmacology, environmental toxicology, mechanisms of pathogenesis, zoonoses, biomechanics, cardiovascular pathophysiology, and others. The mentor and other advisors will provide guidance to students and an assessment of progress. Students will provide at completion of the study, an oral presentation of their results to their colleagues and all mentors and a presentation of results via posters at the annual Merial NIH National Veterinary Scholars Symposium, to be held in 2010 at the University of Georgia, and at the LSU Phi Zeta Research Emphasis Day. It is noteworthy that one Summer Scholar won an award at the 2008 LSU Phi Zeta Research Emphasis Day. LSU Students will receive elective credit in the curriculum (VMED 5010 or VMED 5463) for successful completion of the program. Students will be strongly encouraged to work with their mentors to publish their findings in peer-reviewed journals separately or as a smaller piece of work with their mentors. Sponsors: The program is funded by a Merial Foundation grant and an NIH T35 training grant.

Proper citation: Merial/NIH Veterinary Scholars Program (RRID:SCR_008301) Copy   

•   Source: SciCrunch Registry

http://med.stanford.edu/compmed/education/phd_training.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 27,2022.This program helps address the shortage of veterinarians who are trained for independent research. It supports veterinarians during the first 3 years of their PhD training. Trainees can participate in any graduate program involved in biomedical research at Stanford University: Biochemistry, Biological Sciences, Biophysics, Cancer Biology, Developmental Biology, Genetics, Immunology, Microbiology & Immunology, Molecular & Cellular Physiology, Molecular Pharmacology, Neurosciences, Structural Biology, Bioengineering, and Biomedical Informatics (graduate programs in biomedical research). All share common features: :1. Year 1 focuses on a limited group of courses and laboratory rotations. :2. Subsequent years focus on developing critical thinking via seminars and journal clubs and on independent research. :3. Annual retreats to present and learn about ongoing research in the graduate program. :4. Emphasis on mastering communications skills essential for success in science: oral presentation, writing manuscripts and grant proposals. :5. Developing an appreciation of the role of scientists in the context of society with emphasis on ethical and professional responsibility. Sponsors: It is funded by a T32 training grant from the NIH.

Proper citation: Postdoctoral Program for Veterinarians (RRID:SCR_008296) Copy   

•   Source: SciCrunch Registry

http://www.phac-aspc.gc.ca/msds-ftss/

Material Safety Data Sheets for chemical products are available to laboratory workers for most chemicals and reagents. However because many laboratory workers, whether in research, public health, teaching, etc., are exposed to not only chemicals but infectious substances as well, there was a large gap in the readily available safety literature for employees. These MSDS are produced for personnel working in the life sciences as quick safety reference material relating to infectious micro-organisms. The MSDS are organized to contain health hazard information such as infectious dose, viability (including decontamination), medical information, laboratory hazard, recommended precautions, handling information and spill procedures. The intent of these documents is to provide a safety resource for laboratory personnel working with these infectious substances. Because these workers are usually working in a scientific setting and are potentially exposed to much higher concentrations of these human pathogens than the general public, the terminology in these MSDS is technical and detailed, containing information that is relevant specifically to the laboratory setting. It is hoped along with good laboratory practices, these MSDS will help provide a safer, healthier environment for everyone working with infectious substances. The MSDS is ran by the Public Health Agency of Canada. The Public Health Agency of Canada (PHAC) is the main Government of Canada agency responsible for public health in Canada. PHACs primary goal is to strengthen Canadas capacity to protect and improve the health of Canadians and to help reduce pressures on the health-care system. To do this, the Agency is working to build an effective public health system that enables Canadians to achieve better health and well-being in their daily lives by promoting good health, helping prevent and control chronic diseases and injury, and protecting Canadians from infectious diseases and other threats to their health. PHAC is also committed to reducing health disparities between the most advantaged and disadvantaged Canadians. Because public health is a shared responsibility, the Public Health Agency of Canada works in close collaboration with all levels of government (provincial, territorial and municipal) to build on each others skills and strengths. The Agency also works closely with non-government organizations, including civil society and business, and other countries and international organizations like the World Health Organization (WHO) to share knowledge, expertise and experiences.

Proper citation: Material Safety Data Sheets for Infectious Substances of Canada (RRID:SCR_013003) Copy   

•   Source: SciCrunch Registry

http://tcm.lifescience.ntu.edu.tw/index.html

TCMGeneDIT is a database system providing association information about traditional Chinese medicines (TCMs), genes, diseases, TCM effects and TCM ingredients automatically mined from vast amount of biomedical literature. Integrated protein-protein interaction and biological pathways information collected from public databases are also available. In addition, the transitive relationships among genes, TCMs and diseases could be inferred through the shared intermediates. Furthermore, TCMGeneDIT is useful in deducing possible synergistic or antagonistic contributions of the prescription components to the overall therapeutic effects. TCMGeneDIT is a unique database of various association information about TCMs. The database integrating TCMs with life sciences and biomedical studies would facilitate the modern clinical research and the understanding of therapeutic mechanisms of TCMs and gene regulations.

Proper citation: TCMGeneDIT (RRID:SCR_013396) Copy   

•   Source: SciCrunch Registry

http://www.gallartinternet.com/mai/

THIS RESOURCE IS NO LONGER IN SERVICE, documented September 13, 2016. A searchable biotechnology database e-books with information on more than 9000 monoclonal antibodies. This database has antibodies produced for the diagnosis and therapy of human cancer, Alzheimer's disease, AIDS, and other diseases as well as for biomarker and proteomics research. Information such as antibody name, species, type, characteristics, antigen characteristics, and developer or distributor of antibody as well as mentions in journals, patents, abstracts and reports up until 2012 are included.

Proper citation: Monoclonal Antibody Index (RRID:SCR_013227) Copy   

•   Source: SciCrunch Registry

http://www.niddk.nih.gov/research-funding/research-resources/Pages/default.aspx

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 29,2023. Registry listing NIDDK resources, such as reagents, data, and protocols. They are derived from publicly available information provided by NIDDK-funded investigators, projects, and publications.

Proper citation: NIDDK Research Resources (RRID:SCR_014372) Copy   

•   Source: SciCrunch Registry

https://www.gem-beta.org/Public/Home.aspx

Database that contains behavioral and social science measures organized by theoretical constructs. GEM is designed to enable researchers to use common measures with the goal of exchanging harmonized data.

Proper citation: Grid-Enabled Measures Database (RRID:SCR_016043) Copy   

•   Source: SciCrunch Registry

https://rtips.cancer.gov/rtips/index.do

Database of cancer control interventions and program materials. It is designed to provide program planners and public health practitioners easy and immediate access to research-tested materials.

Proper citation: Research-tested Intervention Programs (RTIPs) (RRID:SCR_016042) Copy   

•   Source: SciCrunch Registry

http://escience.invitrogen.com/ipath/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 26, 2016. LINNEA Pathways is a user-friendly comprehensive online resource for gene- or protein-based scientific research. It is based on a total of 248 signaling and metabolic human biological pathway maps created for Invitrogen by GeneGo. The current version of iPath features 225 maps displaying human regulatory and metabolic pathways established in experimental literature produced by MetaCore from GeneGo, Inc. The map objects (proteins, genes, EC functions, and compounds) are connected via metabolic transformations and physical protein interactions, which were assembled by the GeneGo team of experienced annotators, geneticists, and biochemists. The pathways are organized in a vertical fashion following the general signaling path from signaling molecules and membrane receptors, via signal transduction cascades, to transcription factors and their gene targets. Following the natural organization of cellular machinery with highly interconnected pathways and modules, many maps are linked together via hyperlinked box symbols. Such linkage allows the reconstruction of a big picture view of human cell biology., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Invitrogen iPath (RRID:SCR_008120) Copy   

•   Source: SciCrunch Registry

http://www.ingenuity.com/

A horizontally and vertically structured database that pulls scientific and medical information and describes it consistently using the Ingenuity Ontology. The Knowledge Base pulls information from journals, public molecular content databases, and textbooks. Data is curated and and integrated into the Knowledge Base .

Proper citation: Ingenuity Pathways Knowledge Base (RRID:SCR_008117) Copy   

•   Source: SciCrunch Registry

http://databases.unesco.org/bioethics/biowebintro.shtml

Bioethics database comprises over 645 bioethics institutions (bioethics committees, commissions, training, research and documentation centres) in over 80 countries, including information on activities and publications. Information is based on replies obtained from a widely distributed questionnaire and has been gathered in cooperation with National Commissions and Permanent Delegations to UNESCO. The Program develops four main action areas: -Intellectual forum -Standard-setting action -Advisory role and capacity-building -Education and awareness raising The Bioethics Program is part of UNESCOs Division of the Ethics of Science and Technology in the Social and Human Sciences Sector. It is primarily responsible for the Secretariat of two advisory bodies: the International Bioethics Committee (IBC), composed of 36 independent experts, and the Intergovernmental Bioethics Committee (IGBC), composed of representatives of 36 Member States. These Committees cooperate to produce advice, recommendations and proposals that each submits to the Director-General for consideration by UNESCOs governing bodies.

Proper citation: Bioethics Institutes Database (RRID:SCR_008173) Copy   

•   Source: SciCrunch Registry

http://www.lamhdi.org/

THIS RESOURCE IS NO LONGER IN SERVICE, it has been replaced by Monarch Initiative. LAMHDI, the initiative to Link Animal Models to Human DIsease, is designed to accelerate the research process by providing biomedical researchers with a simple, comprehensive Web-based resource to find the best animal model for their research. LAMDHI is a free, Web-based, resource to help researchers bridge the gap between bench testing and human trials. It provides a free, unbiased resource that enables scientists to quickly find the best animal models for their research studies. LAMHDI includes mouse data from MGI, the Mouse Genome Informatics website; zebrafish data from ZFIN, the Zebrafish Model Organism Database; rat data from RGD, the Rat Genome Database; yeast data from SGD, the Saccharomyces Genome Database; and fly data from FlyBase. LAMHDI.org is operational today, and data is added regularly. Enhancements are planned to let researchers contribute their knowledge of the animal models available through LAMHDI. The LAMHDI goal is to allow researchers to share information about and access to animal models so they can refine research and testing, and reduce or replace the use of animal models where possible. LAMHDI Database Search: LAMHDI brings together scientifically validated information from various sources to create a composite multi-species database of animal models of human disease. To do this, the LAMHDI database is prepared from a variety of sources. The LAMHDI team takes publicly available data from OMIM, NCBI''s Entrez Gene database, Homologene, and WikiPathways, and builds a mathematical graph (think of it as a map or a web) that links these data together. OMIM is used to link human diseases with specific human genes, and Entrez provides universal identifiers for each of those genes. Human genes are linked to their counterpart genes in other species with Homologene, and those genes are linked to other genes tentatively or authoritatively using the data in WikiPathways. This preparatory work gives LAMHDI a web of human diseases linked to specific human genes, orthologous human genes, homologous genes in other species, and both human and non-human genes involved in specific metabolic pathways associated with those diseases. LAMHDI includes model data that partners provide directly from their data structures. For instance, MGI provides information about mouse models, including a disease for each model, as well as some genetic information (the ID of the model, in fact, identifies one or more genes). ZFIN provides genetic information for each zebrafish model, but no diseases, so zebrafish models are integrated by using the genes as the glue. For instance, a zebrafish model built to feature the zebrafish PKD2 gene would plug into the larger disease-gene map at the node representing the zebrafish PKD2 gene, which is connected to the node representing the human PKD2 gene, which in turn is connected to the node representing the human disease known as polycystic kidney disease. (Some of the partner data LAMHDI receives can even extend the base map. MGI provides a disease for every model, and in some cases this allows the creation of a disease-to-gene relationship in the LAMHDI database that might not already be documented in the OMIM dataset.) With curatorial and model information in hand, LAMHDI runs a lengthy automated process that exhaustively searches for every possible path between each model and each disease in the data, up to a set number of hops, producing for each disease-to-model pair a set of links from the disease to the model. The algorithm avoids circular paths and paths that include more than one disease anywhere in the middle of the path. At the end of this phase, LAMHDI has a comprehensive set of paths representing all the disease-to-model relationships in the data, varying in length from one hop to many hops. Each disease-to-model path is essentially a string of nodes in the data, where each node represents a disease, a gene, a linkage between genes (an orthologue, a homologue, or a pathway connection, referred to as a gene cluster or association), or a model. Each node has a human-friendly label, a set of terms and keywords, and - in most cases - a URL linking the node to the data source where it originated. When a researcher submits a search on the LAMHDI website, LAMHDI searches for the user''s search terms in its precomputed list of all known disease-to-model paths. It looks for the terms not only in the disease and model nodes, but also in every node along each path. The complete set of hits may include multiple paths between any given disease-to-model pair of endpoints. Each of these disease-to-model pair sets is ordered by the number of hops it involves, and the one involving the fewest hops is chosen to represent its respective disease-to-model pair in the search results presented to the user. Results are sorted by scores that represent their matches. The number of hops is one barometer of the strength of the evidence linking the model and the disease; fewer hops indicates the relationship is stronger, more hops indicates it may be weaker. This indicator works best for comparing models from a single partner dataset: MGI explicitly identifies a disease for each mouse model, so there can be disease-to-model hits for mice that involve just one hop. Because ZFIN does not explicitly identify a disease for each model, no zebrafish model will involve fewer than four hops to the nearest disease, from the zebrafish model to a zebrafish gene to a gene cluster to a human gene to a human disease.

Proper citation: LAMHDI: The Initiative to Link Animal Models to Human DIsease (RRID:SCR_008643) Copy   

•   Source: SciCrunch Registry

http://www.BioMedSearch.com

BioMedSearch is a biomedical search engine that contains NIH/PubMed documents, plus a large collection of theses, dissertations, and other publications not found anywhere else for free, making it the most comprehensive free search on the web. :Besides free-form search, users can search based on Author, Journal Title, Publication Date, the Language in which the article was published (many non-English articles have English language abstracts), MeSH (Medical Subject Headings) and more. : The goal of BioMedSearch.com is to provide free access to a massive collection of authoritative documents relating to the biomedical field. Our mission is to make these important works available to the community in a way that is fast and easy, while still offering the advanced features demanded by power users such as portfolios, collaboration features, bibliographical citation export, alerts, and more. Whether you are doctor, scientist, or someone interested in researching a medical topic out of personal interest, BioMedSearch aggregates a vast number of authoritative documents in one place to make finding medical information easy, fast and free.

Proper citation: Biomedical Search: Medical Research and Health Resources (RRID:SCR_008683) Copy   

•   Source: SciCrunch Registry