Research Data

Academic Research Data Organization Services

Professional organization and documentation support for academic research data.

Lamtas helps researchers structure and document their own research datasets and research records.

Research Data Organization

Organize Academic Research Data Clearly and Consistently

Research projects can generate large amounts of quantitative data, qualitative records, survey responses, interview transcripts, coding files, tables, and supporting documentation.

Lamtas provides data-organization support to help researchers maintain structured research records.

Services can include data cleaning documentation, file organization, variable documentation, coding-file organization, tables, metadata, and research-data management workflows.

Researchers remain responsible for the integrity, ownership, interpretation, and academic use of their research data.

Data Organization Services

Research Data Organization Support

Support can be adapted to different data types and research disciplines.

Dataset Organization

Organize researcher-provided research datasets into clear structures.

Data Cleaning Documentation

Document data-cleaning steps and identified data-quality issues.

Variable Documentation

Organize researcher-defined variables and associated metadata.

Survey Data Organization

Structure survey-response datasets and supporting documentation.

Qualitative Data Organization

Organize transcripts, notes, codes, and qualitative research records.

Research Tables

Organize researcher-generated tables and research records.

Metadata Organization

Support structured documentation of research data and files.

Benefits

Why Use Lamtas Research Data Organization?

Better Data Management

Keep research datasets and supporting files organized.

Clear Documentation

Maintain useful records explaining datasets and research files.

Improved Consistency

Standardize naming, structures, and documentation.

Researcher Control

Researchers retain ownership and responsibility for their data and analysis.

Our Process

How Research Data Organization Works

1. Review the Data

Identify the data types, files, structures, and documentation available.

2. Define the Organization

Establish an appropriate structure for files, datasets, variables, and records.

3. Organize the Materials

Structure researcher-provided research data and documentation.

4. Document the Data

Create appropriate metadata, data dictionaries, or supporting records.

5. Quality Review

Check organization and consistency against agreed requirements.

Research Data Organization FAQs

Can Lamtas analyze my academic dataset for submission?

Lamtas can provide data-organization and educational analysis support, but researchers remain responsible for their academic analysis and conclusions.

Can you organize survey datasets?

Yes. Researcher-provided survey datasets can be organized and documented.

Can you organize qualitative research data?

Yes. Transcripts, notes, codes, and related research records can be organized.

Need Research Data Organization?

Tell us what type of research data you have and how it needs to be organized.