Minimum Information Standards
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Minimum Information Standards
Minimum information standards are sets of guidelines and formats for reporting data derived by specific high-throughput methods. Their purpose is to ensure the data generated by these methods can be easily verified, analysed and interpreted by the wider scientific community. Ultimately, they facilitate the transfer of data from journal articles (unstructured data) into databases (structured data) in a form that enables data to be mined across multiple data sets. Minimal information standards are available for a vast variety of experiment types including microarray (MIAME), RNAseq ( MINSEQE), metabolomics (MSI) and proteomics ( MIAPE). Minimum information standards typically have two parts. Firstly, there is a set of reporting requirements – typically presented as a table or a checklist. Secondly, there is a data format. Information about an experiment needs to be converted into the appropriate data format for it to be submitted to the relevant database. In the case of MIAME, th ...
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Reporting Data
Data reporting is the process of collecting and submitting data which gives rise to accurate analyses of the facts on the ground; inaccurate data reporting can lead to vastly uninformed decision-making based on erroneous evidence. Different from data analysis that transforms data and information into insights, data reporting is the previous step that translates raw data into information. When data is not reported, the problem is known as underreporting; the opposite problem leads to false positives. Data reporting can be an incredibly difficult endeavor. Census A census is the procedure of systematically acquiring, recording and calculating information about the members of a given population. This term is used mostly in connection with national population and housing censuses; other common censuses in ... bureaus may hire even hundreds of thousands of workers to achieve the task of counting all of the residents of a country. Teachers use data from student assessments to deter ...
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FGED Society
The Functional GEnomics Data Society (FGED) (formerly known as the MGED Society) was a non-profit, volunteer-run international organization of biologists, computer scientists, and data analysts that aims to facilitate biological and biomedical discovery through data integration. The approach of FGED was to promote the sharing of basic research data generated primarily via high-throughput technologies that generate large data sets within the domain of functional genomics. Members of the FGED Society worked with other organizations to support the effective sharing and reproducibility of functional genomics data; facilitate the creation of standards and software tools that leverage the standards; and promote the sharing of high quality, well annotated data within the life sciences and biomedical communities. Founded in 1999 as the "Microarray Gene Expression Data (MGED) Society", this organization changed its name to the "Functional Genomics Data Society" in 2010 to reflect the ...
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Standards For Reporting Enzymology Data
Standards for Reporting Enzymology Data (STRENDA) is an initiative as part of the Minimum Information Standards which specifically focuses on the development of guidelines for reporting (describing metadata) enzymology experiments. The initiative is supported by the Beilstein Institute for the Advancement of Chemical Sciences. STRENDA establishes both publication standards for enzyme activity data and STRENDA DB, an electronic validation and storage system for enzyme activity data. Launched in 2004, the foundation of STRENDA is the result of a detailed analysis of the quality of enzymology data in written and electronic publications. Organization The STRENDA project is driven by 15 scientists from all over the world forming the STRENDA Commission and supporting the work with expertises in biochemistryenzyme nomenclature bioinformatics, systems biology, modelling, mechanistic enzymology and theoretical biology. Reporting guidelines The STRENDA Guidelines propose those minimum ...
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MIASE
The minimum information about a simulation experiment (MIASE){{cite journal, author1=D. Waltemath , author2=Richard Adams , author3=Daniel A. Beard , author4=rank T. Bergmann , author5=Upinder S. Bhalla , author6=Randall Britten , author7=Vijayalakshmi Chelliah , author8=Michael T. Cooling , author9=Jonathan Cooper , author10=Edmund J. Crampin , author11=Alan Garny , author12=Stefan Hoops , author13=Michael Hucka , author14=Peter Hunter , author15=Edda Klipp , author16=Camille Laibe , author17=Andrew K. Miller , author18=Ion Moraru , author19=David Nickerson , author20=Poul Nielsen , author21=Macha Nikolski , author22=Sven Sahle , author23=Herbert M. Sauro , author24=Henning Schmidt , author25=Jacky L. Snoep , author26=Dominic Tolle , author27=Olaf Wolkenhauer , author28=Nicolas Le Novère , title=Minimum Information About a Simulation Experiment (MIASE). , journal=PLOS Computational Biology , year= 2011 , volume= 7 , issue= 4 , doi=10.1371/journal.pcbi.1001122 , pmid=21552546 ...
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MIRIAM
Miriam ( he, מִרְיָם ''Mīryām'', lit. 'Rebellion') is described in the Hebrew Bible as the daughter of Amram and Jochebed, and the older sister of Moses and Aaron. She was a prophetess and first appears in the Book of Exodus. The Torah refers to her as "Miriam the Prophetess" and the Talmud names her as one of the seven major female prophets of Israel. Scripture describes her alongside of Moses and Aaron as delivering the Jews from exile in Egypt: "For I brought you up out of the land of Egypt and redeemed you from the house of slavery, and I sent before you Moses, Aaron, and Miriam". According to the Midrash, just as Moses led the men out of Egypt and taught them Torah, so too Miriam led the women and taught them Torah. Biblical narrative Miriam was the daughter of Amram and Jochebed; she was the sister of Aaron and Moses, the leader of the Israelites in ancient Egypt. The narrative of Moses' infancy in the Torah describes an unnamed sister of Moses observing ...
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Experiment
An experiment is a procedure carried out to support or refute a hypothesis, or determine the efficacy or likelihood of something previously untried. Experiments provide insight into Causality, cause-and-effect by demonstrating what outcome occurs when a particular factor is manipulated. Experiments vary greatly in goal and scale but always rely on repeatable procedure and logical analysis of the results. There also exist natural experiment, natural experimental studies. A child may carry out basic experiments to understand how things fall to the ground, while teams of scientists may take years of systematic investigation to advance their understanding of a phenomenon. Experiments and other types of hands-on activities are very important to student learning in the science classroom. Experiments can raise test scores and help a student become more engaged and interested in the material they are learning, especially when used over time. Experiments can vary from personal and in ...
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Annotation
An annotation is extra information associated with a particular point in a document or other piece of information. It can be a note that includes a comment or explanation. Annotations are sometimes presented in the margin of book pages. For annotations of different digital media, see web annotation and text annotation. Literature and education Textual scholarship Textual scholarship is a discipline that often uses the technique of annotation to describe or add additional historical context to texts and physical documents to make it easier to understand. Student uses Students often highlight passages in books in order to refer back to key phrases easily, or add marginalia to aid studying. Annotated bibliographies add commentary on the relevance or quality of each source, in addition to the usual bibliographic information that merely identifies the source. Mathematical expression annotation Mathematical expressions (symbols and formulae) can be annotated with their natura ...
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Flow Cytometry
Flow cytometry (FC) is a technique used to detect and measure physical and chemical characteristics of a population of cells or particles. In this process, a sample containing cells or particles is suspended in a fluid and injected into the flow cytometer instrument. The sample is focused to ideally flow one cell at a time through a laser beam, where the light scattered is characteristic to the cells and their components. Cells are often labeled with fluorescent markers so light is absorbed and then emitted in a band of wavelengths. Tens of thousands of cells can be quickly examined and the data gathered are processed by a computer. Flow cytometry is routinely used in basic research, clinical practice, and clinical trials. Uses for flow cytometry include: * Cell counting * Cell sorting * Determining cell characteristics and function * Detecting microorganisms * Biomarker detection * Protein engineering detection * Diagnosis of health disorders such as blood cancers * Measuring ...
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Genomic Standards Consortium
The Genomic Standards Consortium (GSC) is an initiative working towards richer descriptions of our collection of genomes, metagenomes and marker genes. Established in September 2005, this international community includes representatives from a range of major sequencing and bioinformatics centres (including NCBI, EMBL, DDBJ, JCVI, JGI, EBI, Sanger, FIG) and research institutions. The goal of the GSC is to promote mechanisms for standardizing the description of (meta)genomes, including the exchange and integration of (meta)genomic data. The number and pace of genomic and metagenomic sequencing projects will only increase as the use of ultra-high-throughput methods becomes common place and standards are vital to scientific progress and data sharing. Mission Community-driven standards have the best chance of success if developed within the auspices of international working groups. Participants in the GSC include biologists, computer scientists, those building genomic databases an ...
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Data Reporting
Data reporting is the process of collecting and submitting data which gives rise to accurate analyses of the facts on the ground; inaccurate data reporting can lead to vastly uninformed decision-making based on erroneous evidence. Different from data analysis that transforms data and information into insights, data reporting is the previous step that translates raw data into information. When data is not reported, the problem is known as underreporting; the opposite problem leads to false positives. Data reporting can be an incredibly difficult endeavor. Census A census is the procedure of systematically acquiring, recording and calculating information about the members of a given population. This term is used mostly in connection with national population and housing censuses; other common censuses inc ... bureaus may hire even hundreds of thousands of workers to achieve the task of counting all of the residents of a country. Teachers use data from student assessments to determ ...
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Electrophysiology
Electrophysiology (from Ancient Greek, Greek , ''ēlektron'', "amber" [see the Electron#Etymology, etymology of "electron"]; , ''physis'', "nature, origin"; and , ''-logy, -logia'') is the branch of physiology that studies the electrical properties of biological cell (biology), cells and tissues. It involves measurements of voltage changes or electric current or manipulations on a wide variety of scales from single ion channel proteins to whole organs like the heart. In neuroscience, it includes measurements of the electrical activity of neurons, and, in particular, action potential activity. Recordings of large-scale electric signals from the nervous system, such as electroencephalography, may also be referred to as electrophysiological recordings. They are useful for electrodiagnostic medicine, electrodiagnosis and monitoring (medicine), monitoring. Definition and scope Classical electrophysiological techniques Principle and mechanisms Electrophysiology is the branch of phys ...
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Metadata
Metadata is "data that provides information about other data", but not the content of the data, such as the text of a message or the image itself. There are many distinct types of metadata, including: * Descriptive metadata – the descriptive information about a resource. It is used for discovery and identification. It includes elements such as title, abstract, author, and keywords. * Structural metadata – metadata about containers of data and indicates how compound objects are put together, for example, how pages are ordered to form chapters. It describes the types, versions, relationships, and other characteristics of digital materials. * Administrative metadata – the information to help manage a resource, like resource type, permissions, and when and how it was created. * Reference metadata – the information about the contents and quality of statistical data. * Statistical metadata – also called process data, may describe processes that collect, process, or produce s ...
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