Questions & Answers

Data

The data is stored in the local server of your organization. For the online account, we install your data in our sever in Frankfurt.

We embed your analysis algorithms into ScienceDesk to extract information from your data set. This includes pre-processing algorithms for the experimental data. ScienceDesk can also create tailored data mining algorithms that fits your experimental techniques.

ScienceDesk  will never access your experimental data. Be careful with your password! If you forget your password and for any reason you cannot access the registered email to reset it, ScienceDesk will not reach your data for you.

Original files are always stored, and only deleted when the entry that originated the file is deleted. The owner of the notebook to which the file was first uploaded is also the owner of the file.

Any kind of file can be upload and stored. For online accounts, currently, the maximum allowed file size is 10MB, while the storage per user is set to 1GB.

For on-premise accounts, your IT  department is responsible for the security and   backup of  your data. For online accounts, we perform frequent backups of research data files and the database. The company that provides our infrastructure ensures the highest level of security and stability for your research data. This company has among their clients organization as Nasa, Samsung, Siemens, Netflix, FigShare and many others. In simple words, your data is safer in our platform than would be in your personal computer connected to the internet.

Collaboration

We will provide a fine-grained set of access permissions and user roles that can be customized as needed to prevent unauthorized data access. You can share books, entries and data with colleagues and comment on entries in shared lab books.

You need to first connect with your colleagues to built a network of coworkers. Then you  can create a team, add members that are part of your network and establish the necessary permissions. Only the team creator and team leader can add new coworkers.

Smart lab book

The smart lab notebook is the place to document your experiments and/or analyze your data. There you can  upload data and make graphics.

When an entry is submitted it becomes visible to other users with whom you share the notebook. Your coworkers will not have access to the entry until you submit it.

After you have submitted the entry in a lab book, you can click on the padlock symbol to set the entry as read-only. As long as you have not locked the entry, you will be able to make changes to text and figures. You can also change the lab book settings for any submitted entry be automatically locked.

Unfortunately not. A locked entry becomes read-only to avoid adulteration of an experimental result. For this reason, be certain before you decide to lock an entry. Alternatively, you can always copy and paste as a new entry to keep working on it.

ScienceDesk algorithms currenlt only process data from ASCII (file endings such as: .txt, .dat and .csv) excel files and some selected instrument formats (Bruker RAW v1, v2, v3). Igor packed-experiment (.pxp) and Igor binary wave files (.ibw) can be imported as well. Images in PNG, JPEG, TIFF, and GIF format are also supported. You can upload any file type, but at the moment we don’t support data processing of other types beyond those mentioned. To fully take advantage of the data importing tools, excel files should contain only one table per sheet.

Readable Data ASCII, TXT, DAT
Images PNG, JPG, BMP, TIFF, GIF
Instrument Formats XRD: Bruker RAW (v1, v2, v3)
XRD: Stoe RAW
Matlab formatted data MAT
Igor packed experiment PXP, binary wave IBW
Office XLSX

This function allows you to share a notebook entry with a colleague who has not yet registered with ScienceDesk. You can choose to let your colleague access an interactive graphic and download the original data files. You can also add your profile with a picture to the shareable link and make it publically available, for example, on your personal website. The shareable link can disabled at any time.

Samples

A sample can be anything you are working on. In life science, a sample can be a cell culture; in chemistry, it might be a new synthesized compound; in physics, it might be a crystal that you measure some property of. Your can easily build your own lab form to describe your samples.

Referencing a sample in an entry allows you to search for data that you’ve produced. Additionally, each associated entry can represent an action undergone by the sample, thus becoming part of a sample history. A chain of actions can affect the sample properties

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