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FAQ
A:Step 1, you need to register and log in.
Step 2, please submit DOI if the data you submit is already published. The publication journal information (such as name, title, journal name, etc.) is required if the data has not been published, or if the data is submitted prior to the publication of the relevant article.
Step 3, CC0 or CC-BY 4.0 license is required to allow other researchers to download and use the data.
Step 4, upload your data and dataset description information and fill in the metadata. These contents can be modified later.
Step 5, author can set up that in the peer review phase of affiliated publications, the data are not disclosed. Once published, the data content will be publicly available for retrieved, downloaded, and reused by other researchers.
A: The data came from various research fields. The basic requirements are as follows:
(1) Supports most types of files (such as text, spreadsheet, video, images, software code), includes multiple file archive.
(2) Data size is unlimited. If you need to upload files larger than 500G at once, please contact us.
(3) Due to the openness of ScienceDB data, data containing personal privacy information cannot be accepted. Please finish the relevant anonymous processing before uploading the data.
(4) Classified data cannot be accepted.
(5) The data that reject CC0 or CC-BY 4.0 license cannot be accepted and published.
(6) The content of the published data shall comply with the relevant regulations and the terms of use of this site.
A: As a multidisciplinary repository, ScienceDB does not limit the format and the subject of the data submitted by the user. Considering the reusability and long-term access of the data, ScienceDB recommends that your data files be stored in the preferred format in the following table. In addition, ScienceDB provides other recommended formats for data files. Data files in this format are also highly accessible and robust, can be used as a secondary alternative to data organization and storage formats.
If your data file format is not already on the recommended list below, we recommend that you evaluate the long-term sustainability and accessibility of your submitted data file in the following ways:
(1) The file format you are using is a common format in the domain;
(2) The file format you are using has an open specification or standard;
(3) The file format you are using is independent of a particular software, developer or vendor.
If you cannot meet the above requirements, please do your best to meet them.
A: When storing data, we assign a dataset digital object identifier(DOI) to your data, by listing sources and DOI references in the paper.
Recommended references in the text: ScienceDB: http://dx.doi.org/10.11922/sciencedb.[XXXX]
Recommended references in the paper:
Heneghan C, Thompson M, Billingsley M, Cohen, D (2011) Data from: Medical-device recalls in the UK and the device-regulation process: retrospective review of safety notices and alerts. ScienceDB. [2014-12-20]. http://dx.doi.org/10.11922/scidb.585
A: The description of dataset is to ensure that the data is understood correctly. You can choose to submit a readme for the entire dataset or to provide readmes for each data file in the dataset. Readme files are recommended as plain text files that contain the following: data file name and a brief description of the data.
Data description includes:
(1) Table data: Definition of column headers and row labels; code data (including omitted data); the unit of measurement involved.
(2) Data processing steps. In particular, no details in the published paper, including any explanation that might have affected the results.
(3) If the dataset description is stored elsewhere, list the link or address (if applicable).
(4) Clearly provide author information and contact information that can be used to contact so that data users can contact and resolve any doubts.
A:(1) Basic data check. Such as can the file be opened; whether the uploaded file contains virus; confirm that there are no copyright restrictions; whether contains sensitive data.
(2) Verify the integrity and correctness of the metadata. Such as check publishing information, keywords, subject classification, etc.
(3) Assign and register unique identifiers for datasets. ScienceDB adopts a pattern of double identification for each dataset, assigning DOI and PID to each submitted dataset.
(4) Long-term preservation and available download. The data can be accessed through related publications or discovered through retrieval services.
A: ScienceDB provides statistics on the number of times each dataset is accessed, downloaded and referenced, and supports chart viewing. This also includes relevant statistics of the data accessed from the cooperative journals. But ScienceDB does not track or provide specific information about the users who downloaded it.