Investigation Study Assay Tabular
In the following recommendations:
How to cite this record FAIRsharing.org: ISA-Tab; Investigation Study Assay Tabular; DOI: https://doi.org/10.25504/FAIRsharing.53gp75; Last edited: Jan. 8, 2019, 1:39 p.m.; Last accessed: Sep 25 2020 11:57 a.m.
Record updated: Oct. 1, 2018, 1:57 p.m. by The FAIRsharing Team.
Edits to 'https://fairsharing.org/FAIRsharing.53gp75' by 'The FAIRsharing Team' at 13:57, 01 Oct 2018 (approved): 'licences' has been modified: Before: After: Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)|https://creativecommons.org/licenses/by-sa/4.0/|Data Added: Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)|https://creativecommons.org/licenses/by-sa/4.0/|Data Removed:
Edits to 'https://fairsharing.org/FAIRsharing.53gp75' by 'The FAIRsharing Team' at 13:56, 01 Oct 2018 (approved): 'supportLinks' has been modified: Before: forum|https://groups.google.com/forum/#!forum/isaforum mailing email@example.com online documentation|http://isatab.sourceforge.net/docs/ISA-TAB_release-candidate-1_v1.0_24nov08.pdf twitter|@isatools After: blog|http://isa-tools.org/blog/index.html forum|https://groups.google.com/forum/#!forum/isaforum mailing firstname.lastname@example.org online documentation|http://isatab.sourceforge.net/docs/ISA-TAB_release-candidate-1_v1.0_24nov08.pdf online documentation|https://isa-specs.readthedocs.io/en/latest/isatab.html twitter|@isatools Added: blog|http://isa-tools.org/blog/index.html online documentation|https://isa-specs.readthedocs.io/en/latest/isatab.html Removed:
Edits to 'https://fairsharing.org/FAIRsharing.53gp75' by 'The FAIRsharing Team' at 20:15, 26 Sep 2018 (approved): 'contact' has been modified: Before: Philippe Rocca-Serra After: General contact
Edits to 'https://fairsharing.org/FAIRsharing.53gp75' by 'The FAIRsharing Team' at 17:44, 13 Jul 2018 (approved): 'homepage' has been modified: Before: http://www.isa-tools.org/format.html After: https://isa-tools.org
Edits to 'https://fairsharing.org/FAIRsharing.53gp75' by 'The FAIRsharing Team' at 11:27, 21 Nov 2017 (approved): 'related_standards' has been modified: Before: bsg-s000070|Ontology for Biomedical Investigations bsg-s000634|Brain Imaging Data Structure bsg-s002683|Human Genome Organization Gene Symbols bsg-s002636|Gazetteer bsg-s000517|ISA-TAB-Nano bsg-s000548|Statistics Ontology After: bsg-s000070|Ontology for Biomedical Investigations bsg-s000517|ISA-TAB-Nano bsg-s000548|Statistics Ontology bsg-s000177|Minimum Information About a Microarray Experiment bsg-s000184|Minimum Information About a Proteomics Experiment bsg-s000543|Minimum Information about Plant Phenotyping Experiment bsg-s000175|Core Information for Metabolomics Reporting bsg-s000185|Minimum Information for Publication of Quantitative Real-Time PCR Experiments bsg-s000521|Minimum Information about Flow Cytometry Added: bsg-s000177|Minimum Information About a Microarray Experiment bsg-s000184|Minimum Information About a Proteomics Experiment bsg-s000543|Minimum Information about Plant Phenotyping Experiment bsg-s000175|Core Information for Metabolomics Reporting bsg-s000185|Minimum Information for Publication of Quantitative Real-Time PCR Experiments bsg-s000521|Minimum Information about Flow Cytometry Removed: bsg-s000634|Brain Imaging Data Structure bsg-s002683|Human Genome Organization Gene Symbols bsg-s002636|Gazetteer
|Mailing List||ISA Tools Google Group|
|online documentation||Specification document 24 November 2008|
|online documentation||ISA-Tab format 1.0 (28 October 2016)|
No XSD schemas defined
Conditions of UseApplies to: Data use
ISA software suite: supporting standards-compliant experimental annotation and enabling curation at the community level.
Rocca-Serra P, Brandizi M, Maguire E, Sklyar N, Taylor C, Begley K, Field D, Harris S, Hide W, Hofmann O, Neumann S, Sterk P, Tong W, Sansone SA.
MetaboLights—an open-access general-purpose repository for metabolomics studies and associated meta-data
Haug K, Salek RM, Conesa P, Hastings J, de Matos P, Rijnbeek M, Mahendraker T, Williams M, Neumann S, Rocca-Serra P, Maguire E, González-Beltrán A, Sansone SA, Griffin JL, Steinbeck C.
Nucleic Acid Research 2013
Models and Formats
No identifier schema standards defined
No metrics standards defined
Comparison system for cancer stem cell analysis
MetaboLights is a database for metabolomics studies, their raw experimental data and associated metadata. The database is cross-species and cross-technique and it covers metabolite structures and their reference spectra as well as their biological roles and locations. MetaboLights is the recommended metabolomics repository for a number of leading journals and ELIXIR, the European infrastructure for life science information.
Golm Metabolome Database
The Golm Metabolome Database (GMD) provides gas chromatography (GC) mass spectrometry (MS) reference spectra, reference metabolite profiles and tools for one of the most widespread routine technologies applied to the large scale screening and discovery of novel metabolic biomarkers.
Giga Science Database
GigaDB primarily serves as a repository to host data and tools associated with articles in GigaScience; however, it also includes a subset of datasets that are not associated with GigaScience articles. GigaDB defines a dataset as a group of files (e.g., sequencing data, analyses, imaging files, software programs) that are related to and support an article or study.
Stem Cell Commons
The Stem Cell Commons were initiated by the Harvard Stem Cell Institute to develop a community for stem cell bioinformatics. This open source environment for sharing, processing and analyzing stem cell data brings together stem cell data sets with tools for curation, dissemination and analysis. Standardization of the analytical approaches will enable researchers to directly compare and integrate their results with experiments and disease models in the Commons.
The FAIRDOMHub is a publicly available resource build using the SEEK software, which enables collaborations within the scientific community. FAIRDOM will establish a support and service network for European Systems Biology. It will serve projects in standardizing, managing and disseminating data and models in a FAIR manner: Findable, Accessible, Interoperable and Reusable. FAIRDOM is an initiative to develop a community, and establish an internationally sustained Data and Model Management service to the European Systems Biology community. FAIRDOM is a joint action of ERA-Net EraSysAPP and European Research Infrastructure ISBE.
Genetic and Genomic Information System
GnpIS is a multispecies integrative information system dedicated to plant and fungi pests. It bridges genetic and genomic data, allowing researchers access to both genetic information (e.g. genetic maps, quantitative trait loci, association genetics, markers, polymorphisms, germplasms, phenotypes and genotypes) and genomic data (e.g. genomic sequences, physical maps, genome annotation and expression data) for species of agronomical interest. GnpIS is used by both large international projects and plant science departments at the French National Institute for Agricultural Research. It is regularly improved and released several times per year. GnpIS is accessible through a web portal and allows to browse different types of data either independently through dedicated interfaces or simultaneously using a quick search ('google like search') or advanced search (Biomart, Galaxy, Intermine) tools.
data.eNanoMapper.net is a public database hosting nanomaterials characterization data and biological and toxicological information. The database provides various possibilities to search and explore information, and to download data in various standard formats. The database supports data upload through configurable Excel templates.
NCI Center for Strategic Scientific Initiatives Data Coordinating Center
The CSSI Data Coordinating Center (DCC) provides the greater Cancer Research and Biomedical Research communities access to the data from a myriad of projects that have been supported by CSSI -- serving as a permanent repository for these and related investigations. The DCC allows users in the community to download the metadata and data from these investigations in the ISA-TAB format. The DCC also allows any user to upload and download the metadata and data associated with investigations. The DCC has a graphical user interface allowing users to easily visualize the content within the data archives
Portail Data INRAE
Portail Data INRAE is offered by INRAE as part of its mission to open the results of its research. INRAE is Europe’s top agricultural research institute and the world’s number two centre for the agricultural sciences. Data INRAE will share research data in relation to food, nutrition, agriculture and environment. It includes experimental, simulation and observation data, omics data, survey and text data. Only data produced by or in collaboration with INRAE will be hosted in the repository, but anyone can access the metadata and the open data. Data INRAE is built on software from the Dataverse Project.
Scientific Data ISA-explorer
ISA-explorer stores information in the ISA-Tab metadata format to facilitate dataset discovery for the journal Scientific Data. Published Scientific Data ISA-Tab files can be easily read and explored via this repository. The ISA model records the data’s provenance, how it was generated and where it is located – all prerequisites of publication with Scientific Data. The ISA-Tab metadata file is used to generate the Structured Summary table that appears after the abstract in every Data Descriptor article.
e-cienciaDatos is a multidisciplinary data repository that houses the scientific datasets of researchers from the public universities of the Community of Madrid and the UNED, members of the Consorcio Madroño, in order to give visibility to these data. The purpose of this repository is to ensure data preservation and to facilitate data access and reuse. e-cienciaDatos collects datasets from of each of the member universities. e-cienciaDatos offers the deposit and publication of datasets, assigning a digital object identifier DOI to each of them. The association of a dataset with a DOI will facilitate data verification, dissemination, reuse, impact and long-term access. In addition, the repository provides a standardized citation for each dataset, which contains sufficient information so that it can be identified and located, including the DOI.
heiDATA is Heidelberg University’s research data repository. It is managed by the Competence Centre for Research Data, a joint institution of the University Library and the Computing Centre. All researchers affiliated with Heidelberg University can use this service for archiving and publishing their data. heiDATA runs on software from the Dataverse Project.
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Biotechnology and Biological Sciences Research Council (BBSRC), UK (Government body)