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NISO Launches New Primer Series with the Publication of Primer on Research Data Management

Publié le 01 septembre 2015 par Thérèse Hameau

The National Information Standards Organization (NISO) has launched a new Primer Series on information management technology issues with the publication of the first primer on the topic of Research Data Management. Two more primers on the topics of Understanding Metadata and Linked Data for Cultural Institutions, respectively, will be released in coming months, with additional Primers to be published periodically.

The primer on Research Data Management provides an overview of how data management has changed in recent years, and outlines best practices for the collection, documentation, and preservation of research data. The importance of creating a data management plan (DMP) before beginning a research data project is emphasized. Crucial questions regarding how the data will be managed are answered ahead of time in a DMP, thus making it easier for the researcher to collect and document the data properly for future use and reuse. Creating research data that is easily reproducible and transparent is the ultimate goal, and following the guidelines in this primer can help educate researchers to ensure their data is available for others. The differences between publishing papers and publishing datasets and the citation challenges the data community are working on solving are also discussed.

This primer on Research Data Management and the forthcoming primers on Understanding Metadata and Linked Data for Cultural Institutions are introductory documents on these important topics relating to information management for those new to our community, or for those who just need a summary understanding of these issues. The NISO Primer series will be freely available and licensed for reuse under a Creative Commons-BY-NC 4.0 license.


[[fond saumon]Research Data Management/fond saumon] by Carly Strasser | 2015

INTRODUCTION

The way research is conducted has changed dramatically in the last two decades. New methods and tools (software, hardware, instruments, and equipment), new sources of data, and the increasing connectivity of global research via the internet mean that rese archers across the globe are making progress at an unprecedented pace. But with this paradigm shift comes significant challenges, most notably reproducibility of research and transparency of methods and workflows.

Meeting the challenges of 21st century research require sound research data management. By carefully planning, documenting, and preserving data, the goals of having reproducible and transparent research data are far easier to meet. Further, well-managed data are easier to use and reuse, which translates to more collaboration for researchers and maximum return-on-investment for funders. This primer will cover the basics of research data management, with the goal of helping researchers and those that support them become better data stewards.


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