20 September 2021

A brief introduction to Re3data

  


Research data is a very crucial part of research activity. It comes in various formats like digital and non-digital. It is generated to analyze, validate, and explore the major findings or results of research. In the document of Data Management Plans (DMP), NEH Office of Digital Humanities [1] states data as:

"as materials generated or collected during the course of conducting research"

Some major research data types are:

  • Documents (spreadsheets, docs, ppts);
  • Notebooks: Labs or field;
  • Multimedia objects (graphs, images, av);
  • Questionnaires;
  • Codebooks; and
  • Experimental data etc.

In a scientific culture, research data plays a key role. Its access to the researchers is more important. This article discusses Re3data (Registry of Research Data Repositories) and its implications. Re3data is an Open Science tool that gives researchers, funding organizations, libraries and publishers information on the existing repositories [2]. It is a service of DataCite. It is funded by the German Research Foundation (DFG). It is a joint project of the Berlin School of Library and Information Science, the Helmholtz Open Science Office, the KIT Library and the Libraries of Purdue University and other organisations [3]. Researchers always seek data and suitable access. Research data repositories meet their requirements, as they collect, share, and preserve data for perpetual access. So, the following sections demonstrate the use of Re3data.


#1 Basic features: searching


Fig.1


This is the home page of the Re3data website. We can see the three browsing features: subject, content, and country (Fig.1).

Fig.2


These are the two interfaces (Fig.2) of "Browse by subject." We can see the data by visualization or hierarchical list.

Fig.3: Search by content


We can search by content types data like archived, raw, source code, database, and statistical.

Fig.4

We also can search on the global map. If we click on any country's map (Fig.4), it will show us the total number of repositories that a country have.

#2 Searching repositories


Fig.5


By simple search Browse by country>India, we will be redirected to the result page which has some features like Filter, (1) Certificate types (4), Result found (2,3), Sorting (5).

#3 Selecting a repository

Fig.6


This is one of the most prominent platforms available in India. Other government platforms are also associated with it. Fig.6 displays the information of a particular repository portal. It has basic information (1), additional information (2), subject categories (3), and content types (4). This is how we can find and use any type of repository. Another example implies:

Fig.7


This has been retrieved by using the direct search "harvard dataverse". Researchers can find and download data from Harvard Dataverse.

Users need to understand their (all the repositories around the world) terms and conditions before using their repositories.


#4 Using their resources

Fig.8


If we click the "Resources" tab, then we will find various resources like their APIs, Metrics, Publications, and Schemas. Let's check what Metrics shows.

#5 Example: Harvard Dataverse

Harvard Dataverse is a renowned data repository in the world. The following figure displays how we can get datasets (quantitative/qualitative).

Fig.9

This is the result page of the search query (2) "information literacy". It shows total search results (1,4), types (3), metadata (5), and year (6). For example, we will be investigating the arrowed title.



This page shows the information of the datasets. It is a docs-dataset containing a list of questions (questionnaire). It provides the information on its version (1), citation generation (2), access (3), metrics (4), four different descriptions (5), original article (6), file information (7), file (8), and the download option/icon (9). It means if anyone uses this dataset for future scholarly works the user needs to give proper attribution. So, this is how we can make use of this.

#6 Exploring metrics

It is nothing but a statistical measurement. It shows the statistical visualization of the above list (Fig.8).





We see any visualization by selecting any topic. Here, the graph deals with content types and it shows "scientific and statistical data formats" are mostly available. Further, we can explore more with License type, Metadata formats, and Data access etc.

From this, it can be said how useful this Re3data is. This is simply an amazing effort of the contributors of this. Undoubtedly, every researcher gets help from this project.

This writing is for educational purposes. Kindly contact the author for any kind of improvement.

References

[1] https://www.neh.gov/sites/default/files/2018-06/data_management_plans_2018.pdf
[2] https://en.wikipedia.org/wiki/Registry_of_Research_Data_Repositories
[3] https://www.re3data.org/about

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