Über diesen Kurs

48,502 kürzliche Aufrufe

This course will provide learners with an introduction to research data management and sharing. After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle, be able to identify the components of good data management plans, and be familiar with best practices for working with data including the organization, documentation, and storage and security of data. Learners will also understand the impetus and importance of archiving and sharing data as well as how to assess the trustworthiness of repositories. 
Today, an increasing number of funding agencies, journals, and other stakeholders are requiring data producers to share, archive, and plan for the management of their data. In order to respond to these requirements, researchers and information professionals will need the data management and curation knowledge and skills that support the long-term preservation, access, and reuse of data. Effectively managing data can also help optimize research outputs, increase the impact of research, and support open scientific inquiry. After completing this course, learners will be better equipped to manage data throughout the entire research data lifecycle from project planning to the end of the project when data ideally are shared and made available within a trustworthy repository.

This course was developed by the Curating Research Assets and Data Using Lifecycle Education (CRADLE) Project in collaboration with EDINA at the University of Edinburgh. 

This course was made possible in part by the Institute of Museum and Library Services under award #RE-06-13-0052-13. The views, findings, conclusions or recommendations expressed in this Research Data Management and Sharing MOOC do not necessarily represent those of the Institute of Museum and Library Services.

Hashtag: #RDMSmooc

Karriereergebnisse der Lernenden

29%

nahm einen neuen Beruf nach Abschluss dieser Kurse auf

22%

ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs

Zertifikat zur Vorlage

Erhalten Sie nach Abschluss ein Zertifikat

100 % online

Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

Flexible Fristen

Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.

Ca. 16 Stunden zum Abschließen

Englisch

Untertitel: Englisch

Kompetenzen, die Sie erwerben

Data Management PlanResearch Data ArchivingMetadataData Management

Karriereergebnisse der Lernenden

29%

nahm einen neuen Beruf nach Abschluss dieser Kurse auf

22%

ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs

Zertifikat zur Vorlage

Erhalten Sie nach Abschluss ein Zertifikat

100 % online

Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

Flexible Fristen

Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.

Ca. 16 Stunden zum Abschließen

Englisch

Untertitel: Englisch

Lehrplan - Was Sie in diesem Kurs lernen werden

Inhaltsbewertung96%(4,884 Bewertungen)

Woche

1

Woche 1

3 Stunden zum Abschließen

Understanding Research Data

This week introduces multiple types of research data in an array of contexts as well as important data management concepts including metadata and the research data lifecycle. We will also define the concept of data management, identify the roles and responsibilities of key stakeholders, and examine various data management tasks throughout the research data lifecycle.

3 Stunden zum Abschließen

9 Videos (Gesamt 37 min), 2 Lektüren, 2 Quiz

9 Videos

Welcome4m

Research Data Defined4m

Types of Data and Metadata4m

Research Data Lifecycle2m

Why Manage Data?3m

Data Management Stakeholders4m

Data Management Across the Research Lifecycle7m

"What Are Data?"2m

"Why is Data Management Important?"3m

2 Lektüren

Summary & Additional Resources10m

1 praktische Übung

Understanding Research Data28m

Woche

2

Woche 2

3 Stunden zum Abschließen

Data Management Planning

This week provides an overview of Data Management Plans (DMPs) including the components of good DMPs, the DMP policies of several funding agencies, and information on data management planning tools.

3 Stunden zum Abschließen

4 Videos (Gesamt 16 min), 1 Lektüre, 2 Quiz

4 Videos

Introduction to Data Management Plans5m

Funding Agency Requirements2m

Data Management Plan Content6m

Data Management Planning Tools2m

1 Lektüre

Summary & Additional Resources10m

1 praktische Übung

Data Management Planning20m

Woche

3

Woche 3

3 Stunden zum Abschließen

Working with Data

This week is brought to you by EDINA and the Data Library at the University of Edinburgh and is presented by Sarah Jones from the Digital Curation Centre. Sarah will introduce strategies for organizing research data including versioning and file naming conventions as well as data file formatting and transformations. She will also discuss why documenting data and data citation are important. Finally, she will present issues involved in storing, securing, and backing up research data.

3 Stunden zum Abschließen

15 Videos (Gesamt 56 min), 4 Lektüren, 5 Quiz

15 Videos

Good File Management in Research2m

File Naming4m

Versioning2m

File Formats6m

Data Transformations2m

Documentation3m

Data Citation3m

Storage3m

Backup3m

Data Security2m

Encryption3m

Interview - Natalia Calanzani3m

Interview - Shaun Bevan6m

"How does good data management add value to research?"3m

"Do you think data sharing helps to reduce waste and increase transparency of research?"4m

4 Lektüren

Summary & Additional Resources10m

5 praktische Übungen

Organizing Data12m

File Formats and Transformations8m

Documentation and Data Citation10m

Storage and Security16m

Working with Data28m

Woche

4

Woche 4

4 Stunden zum Abschließen

Sharing Data

This week examines the benefits and challenges of sharing research data. We will also discuss how to protect confidentiality and how data ownership can affect data sharing. Finally, we will examine different types of access restrictions that may be placed on data as well as how to enable data sharing through the application of a standard license.

4 Stunden zum Abschließen

9 Videos (Gesamt 48 min), 2 Lektüren, 2 Quiz

9 Videos

Benefits of Sharing6m

Challenges to Sharing3m

Data Citations4m

Protecting Confidentiality (Part 1)6m

Protecting Confidentiality (Part 2)7m

Intellectual Property and Data Ownership3m

Access6m

"What Are the Benefits of Sharing Data?"5m

"What Are the Drawbacks of Sharing Data?"4m

2 Lektüren

Summary & Additional Resources10m

1 praktische Übung

Sharing Data30m

Häufig gestellte Fragen

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?

You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
Is financial aid available?

Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.

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Research Data Management and Sharing