Datasets Basics

Return to the #70 Newsletter

In-depth analysis usually requires datasets. Datasets are defined as the factual records used as primary sources for research, and they are widely viewed in the research community as necessary to validate research findings. Researchers are increasingly expected to ensure that the data they use to probe their hypotheses are at once findable, accessible, interoperable and reusable. A critical aspect of scholarly research is providing clear documentation for your data and data management practices. This is important not only for the reproducibility of results and data integrity, but is often required by publishers and funding sources. In the following list of sources we hope to shed a little more light on the complex task of managing research data.

  • Guideless on Data Management

EC. Guidelines on Open Access to Scientific Publications and Research Data in Horizon 2020

EC. Guidelines on FAIR Data Management in Horizon 2020

Guidelines on How to Deposit Data with ICPSR

ICPSR. Guidelines for OSTP Data Access Plan

  • Data Management Planning

CSUC. Research Data Management Plan

DCC. Data Management Plans

Harvard Dataverse Project

OpenAIRE. How to Create a DMP Plan

  • Data Management Plan Tools


CSUC. Research Data Management Plan Tool

DMP Tool

  • Open Data Repositories

Data Archiving and Networking Services (DANS)

Data Repositories OAD

Harvard Dataverse

openICPSR Registry of Research Data Repositories

Swedish National Data Service

UAB. Multidisciplinary Repositories for Open Access Data

UK Data Service ReShare


  • Free Data Sets

Harvard Dataverse

Human Development Report by United Nations

Inter-university Consortium for Political and Social Research


Statistical Datasets from Data-Planet/Conquest