Gaps in Research Studies

Scientific studies are a long journey, and researchers strive to ensure that every hypothesis is tested rigorously, and every conclusion is drawn from a solid foundation of diverse data.

However, for a long time, getting access to other researchers' raw data was like trying to open a door that's been locked for years.

For many years, many academics have had difficulty accessing the raw data they need. They spent their years pouring their heart and soul into their research for their scientific studies. In many cases, they also need research funds for their ideas and projects—late nights, endless revisions, and countless cups of coffee.

But what happens to all that raw data once your thesis is done, your articles are published, or conference papers are presented?

On the other hand, while millions of theses and articles are published every year, why can't we make effective discoveries like in the past?

Raw Data Library believes that one of the main reasons why new effective discoveries cannot be made is due to studies that repeat each other or whose parameters are adapted due to limited access to raw data.

Useful science is not a summary of millions of data points reduced to A and B and presented in a summarized table.

In published articles, the data are presented as summarized tables or graphs. This makes it difficult to reuse the data by other researchers.

Even though all the obtained results can be presented graphically, there are many other basic data used in the background that are not presented.

As a result, more than one output is obtained from a scientific study. In published articles, generally, some of the outputs are presented and discussed. In some publications, outputs are only mentioned, but no data is presented.

Many of the outputs mentioned in relevant articles cannot be presented due to page limits.

With advancements in technology and a push towards open science, it has become much easier to access raw data.

Raw Data Library is the first academic platform where you can find the raw data of previous studies and turn your data into income.

RDL provides academic incentives and supports further studies of researchers, universities, research centers, and companies.

At this point, we established the RDL, and RDL offers you the opportunity to share the raw data you obtain from your scientific studies. Raw data is needed to be used for further studies by other researchers to push the boundaries of science.

Aims and Scope

The Purpose of the Platform: Raw Data Library is a platform created for sharing, storing and trading scientific data. Researchers can share the raw data they have obtained in their projects with other researchers by uploading it to a global library. The aim is to enable more efficient research by increasing the reuse of scientific data, while at the same time providing financial gain to data providers.

Target Audience: The target audience of the platform includes the following groups:

• Academicians and Researchers: They can earn additional income by sharing the data they have obtained in their experimental or theoretical studies.

• Universities and Research Institutions: They can make budget balancing by offering the data obtained from research projects for sale on the platform.

• Industry and Private Sector Researchers: Especially companies engaged in R&D studies can supply the data they need for their projects from this platform.

Data Upload and Storage: Raw Data Library has an infrastructure where users can upload raw data in various formats. The uploaded data is organized according to categories and its access is facilitated.

Supported formats: Analysis data such as CSV, Excel, text files, image and video files, Matlab, Python.

Data Categories: Data belonging to different scientific disciplines such as physics, biology, engineering, and social sciences are categorized. Users can filter the data they are looking for according to these categories.

Data Sales Model: Data owners can submit the uploaded raw data for a fee. The platform allows users to download and use this data for a certain fee. In this way:

• Researchers and institutions can earn additional income.

• Other researchers can speed up their research by finding and using the data they need in a ready-made way.

Data Licensing: The platform provides licensing options that regulate the use of data:

• Open Access: Data is freely available to everyone.

• Licensed Access: The use of the data may be subject to certain conditions and fees.

• Special Access: Secret or special access permissions can be defined where data can only be provided to certain users.

Data Security and Backup: Raw Data Library ensures the security of user data with an infrastructure with high security standards. Security measures include:

• Encryption: The data is protected by encryption during the upload and storage phase.

• Backup: All data is backed up regularly so that no data loss occurs.