Archives des mots-clés : research data management

Research Data Management in a Cultural Heritage Organisation

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Author : Tom Drysdale

Research is a core function of cultural heritage organisations. Inevitably, the undertaking of research by galleries, libraries, archives and museums (the GLAM sector) leads to the creation of vast quantities of research data.

Yet despite growing recognition that research data must be managed if it is to be exploited effectively, and in spite of increasing understanding of research data management practices and needs, particularly in the higher education sector, knowledge of research data management in cultural heritage organisations remains extremely limited.

This paper represents an attempt to address the limited awareness of research data management in the cultural heritage sector. It presents the results of a data management audit conducted at Historic Royal Palaces (HRP) in 2018.

The study reveals that research data management at HRP is underdeveloped, while highlighting some causes for optimism.

The results of the study are compared to the results of similar studies conducted in UK higher education institutions (HEIs), highlighting the many discrepancies in the ways that research data is managed at HRP and in the HE sector.

Recognition of these differences and similarities, it is argued, is necessary for the development of better research data management practices and tools for the heritage sector.

URL : Research Data Management in a Cultural Heritage Organisation

DOI : https://doi.org/10.2218/ijdc.v14i1.647

Les données scientifiques face aux enjeux de la recherche en Sciences, Technologie et Médecine : enquête exploratoire à l’Université de Strasbourg

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Auteur/Author : Violaine Rebouillat

Nous étudions la place des données scientifiques dans les pratiques de recherche à travers l’analyse de six projets du domaine des Sciences, Technologie, Médecine.

Il s’agit de questionner l’influence des stratégies de recherche sur la gestion et l’ouverture des données. Nous décrivons le rôle joué par la quête de reconnaissance par les pairs dans la recherche fondamentale et appliquée.

Nous montrons que les projets de recherche fondamentale tendent à suivre une logique, selon laquelle la publication d’articles dicte les priorités, tandis que les projets de recherche appliquée consacrent une attention plus grande aux données, en raison des enjeux économiques sous-jacents.

URL : https://hal-cnam.archives-ouvertes.fr/hal-02321077

Resurfacing Historical Scientific Data: A Case Study Involving Fruit Breeding Data

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Authors : Shannon L. Farrell, Lois G. Hendrickson, Kristen L. Mastel, Katherine Adina Allen, Julia A. Kelly

Objective

The objective of this paper is to illustrate the importance and complexities of working with historical analog data that exists on university campuses. Using a case study of fruit breeding data, we highlight issues and opportunities for librarians to help preserve and increase access to potentially valuable data sets.

Methods

We worked in conjunction with researchers to inventory, describe, and increase access to a large, 100-year-old data set of analog fruit breeding data. This involved creating a spreadsheet to capture metadata about each data set, identifying data sets at risk for loss, and digitizing select items for deposit in our institutional repository.

Results/Discussion

We illustrate that large amounts of data exist within biological and agricultural sciences departments and labs, and how past practices of data collection, record keeping, storage, and management have hindered data reuse.

We demonstrate that librarians have a role in collaborating with researchers and providing direction in how to preserve analog data and make it available for reuse. This work may provide guidance for other science librarians pursing similar projects.

Conclusions

This case study demonstrates how science librarians can build or strengthen their role in managing and providing access to analog data by combining their data management skills with researchers’ needs to recover and reuse data.

URL : Resurfacing Historical Scientific Data: A Case Study Involving Fruit Breeding Data

DOI : https://doi.org/10.7191/jeslib.2019.1171

“Data Stewardship Wizard”: A Tool Bringing Together Researchers, Data Stewards, and Data Experts around Data Management Planning

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Authors: Robert Pergl, Rob Hooft, Marek Suchánek, Vojtěch Knaisl, Jan Slifka

The Data Stewardship Wizard is a tool for data management planning that is focused on getting the most value out of data management planning for the project itself rather than on fulfilling obligations.

It is based on FAIR Data Stewardship, in which each data-related decision in a project acts to optimize the Findability, Accessibility, Interoperability and/or Reusability of the data.

The background to this philosophy is that the first reuser of the data is the researcher themselves. The tool encourages the consulting of expertise and experts, can help researchers avoid risks they did not know they would encounter by confronting them with practical experience from others, and can help them discover helpful technologies they did not know existed.

In this paper, we discuss the context and motivation for the tool, we explain its architecture and we present key functions, such as the knowledge model evolvability and migrations, assembling data management plans, metrics and evaluation of data management plans.

URL : “Data Stewardship Wizard”: A Tool Bringing Together Researchers, Data Stewards, and Data Experts around Data Management Planning

DOI : http://doi.org/10.5334/dsj-2019-059

Data Curation for Big Interdisciplinary Science: The Pulley Ridge Experience

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Authors : Timothy B. Norris, Christopher C. Mader

The curation and preservation of scientific data has long been recognized as an essential activity for the reproducibility of science and the advancement of knowledge. While investment into data curation for specific disciplines and at individual research institutions has advanced the ability to preserve research data products, data curation for big interdisciplinary science remains relatively unexplored terrain.

To fill this lacunae, this article presents a case study of the data curation for the National Centers for Coastal Ocean Science (NCCOS) funded project “Understanding Coral Ecosystem Connectivity in the Gulf of Mexico-Pulley Ridge to the Florida Keys” undertaken from 2011 to 2018 by more than 30 researchers at several research institutions.

The data curation process is described and a discussion of strengths, weaknesses and lessons learned is presented. Major conclusions from this case study include: the reimplementation of data repository infrastructure builds valuable institutional data curation knowledge but may not meet data curation standards and best practices; data from big interdisciplinary science can be considered as a special collection with the implication that metadata takes the form of a finding aid or catalog of datasets within the larger project context; and there are opportunities for data curators and librarians to synthesize and integrate results across disciplines and to create exhibits as stories that emerge from interdisciplinary big science.

URL : Data Curation for Big Interdisciplinary Science: The Pulley Ridge Experience

Alternative location : https://escholarship.umassmed.edu/jeslib/vol8/iss2/8/

Data Management Planning: How Requirements and Solutions are Beginning to Converge

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Authors : Sarah Jones, Robert Pergl, Rob Hooft, Tomasz Miksa, Robert Samors, Judit Ungvari, Rowena I. Davis, Tina Lee

Effective stewardship of data is a critical precursor to making data FAIR. The goal of this paper is to bring an overview of current state of the art of data management and data stewardship planning solutions (DMP).

We begin by arguing why data management is an important vehicle supporting adoption and implementation of the FAIR principles, we describe the background, context and historical development, as well as major driving forces, being research initiatives and funders. Then we provide an overview of the current leading DMP tools in the form of a table presenting the key characteristics.

Next, we elaborate on emerging common standards for DMPs, especially the topic of machine-actionable DMPs. As sound DMP is not only a precursor of FAIR data stewardship, but also an integral part of it, we discuss its positioning in the emerging FAIR tools ecosystem. Capacity building and training activities are an important ingredient in the whole effort.

Although not being the primary goal of this paper, we touch also the topic of research workforce support, as tools can be just as much effective as their users are competent to use them properly.

We conclude by discussing the relations of DMP to FAIR principles, as there are other important connections than just being a precursor.

URL : Data Management Planning: How Requirements and Solutions are Beginning to Converge

Alternative location : https://www.mitpressjournals.org/doi/pdf/10.1162/dint_a_00043

 

Playing Well on the Data FAIRground: Initiatives and Infrastructure in Research Data Management

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Authors : Danielle Descoteaux, Chiara Farinelli, Marina Soares e Silva, Anita de Waard

Over the past five years, Elsevier has focused on implementing FAIR and best practices in data management, from data preservation through reuse. In this paper we describe a series of efforts undertaken in this time to support proper data management practices.

In particular, we discuss our journal data policies and their implementation, the current status and future goals for the research data management platform Mendeley Data, and clear and persistent linkages to individual data sets stored on external data repositories from corresponding published papers through partnership with Scholix.

Early analysis of our data policies implementation confirms significant disparities at the subject level regarding data sharing practices, with most uptake within disciplines of Physical Sciences. Future directions at Elsevier include implementing better discoverability of linked data within an article and incorporating research data usage metrics.

URL : Playing Well on the Data FAIRground: Initiatives and Infrastructure in Research Data Management

DOI : https://doi.org/10.1162/dint_a_00020