and make your research globally accessible
The world is opening up, so should your data; create global openness to data whilst making your research more transparent, collaborative and efficient.
Individual Dataset Overview
Combined land [CRUTEM5] and marine [HadSST4] temperature anomalies on a 5° by 5° grid with geographical coverage limited to grid cells close to where we have measurements (Morice et al., 2021)
Publish the needle in your haystack
Data needs to be freely used, re-used and redistributed by anyone, anytime and everywhere.
Why publish your data?
Your data is valuable. Your data needs to be interrogated, corroborated and expanded. If groups make information they hold available for everyone, it can be used for all sorts of things by all sorts of people. Whether it’s about government spending, new scientific research or even the 'danceability' of tracks for your next house party playlist.
An open approach to conducting research includes taking an openly collaborative approach. This encompasses fostering relationships with and working alongside other researchers, often from other disciplines, taking new approaches such as openly posing research questions online and involving the public in the actual process of research.
Reproducibility & FAIR Data Principles
Publishing with asencis ensures that your research is findable, accessible , interoperable and re-usable. This adherenace to FAIR data publishing principles is key to the open data collection. We adhere to these principles by giving you the technical infrastruture, standardisation and technical integrations (newly minting Digital Object Identifiers) neccessary for your data to be easily discoverable, citable and open.
Transparency and public engagement is an important aspect of open research and one that is now often a requirement of research funders. It’s about ensuring that the public, often the ultimate funder of research themselves, is made aware of research outputs in a way that they can understand and also knows how to access research outputs and make use of them.
Open data = better science. The two are linearly proportional. Open data is about making raw data from research quickly available to anyone so that they can interrogate and re-use it.
Connect your data and help settle the big questions in your field
Let your data do the talking, and help answer the most pressing questions of the day by appending your data to a particular hypothesis, adding weight where your data tells you to.
Search for datasets by scientific domain
Searching for datasets should be intuitive and on demand, giving you access to the cutting edge of research and data in your field of study. Finding data should be easy.
The right price for you, whoever you are
Our pricing packages are tailered for the best value for money, whilst allowing your data to be citable and searchable for anyone.
Our opening level open data sharing package
Account Level Access
25 User Sign Ons
RESTful API and GraphQL Access
Self-documenting and queryable RESTful and GraphQL API endpoints for your data
Digital Object Identifier (DOI) Generator
Your data will be published with a unique DOI code via the DataCite Registration Agency
Universal Data Formats
Your data can be accessible in .csv, .json, .txt, .shp, .shx, .dbf and .tif depending on your data type.
Self-documenting RESTful and GraphQL API endpoints for your data
Our institutional level open data sharing package
Unlimited Account Level Access
Unlimited User Sign Ons
Dedicated Database Cluster Resource
16GB dedicated RAM / 6vCPUs / 270GB disk space
Dedicated & Containerised Cluster Server Resource
Kubernetes container-orchestration on 13GB usable RAM (16GB total) / 6 vCPUs distributed across 2 cluster nodes.
Unlimited Data Uploads
Unlimited publishes and re-publishes of data per month
Database Sharding Service
Cross-citations between database tables via our bespoke sharding technology for massive, inter-relational data storage
Are you ready to publish your scientific data?
Mint your data with a doi.org indexed Digital Object identifier whilst making your data globally accessible and open with structured data support*, a browsable API and accompanying meta data.
*(JSON linked data Google Scholar verified)
N.B. The above datasets are purely for demonstrative purposes only.