Benefits of Sharing

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Из курса от партнера The University of North Carolina at Chapel Hill

Research Data Management and Sharing

170 оценки

The University of North Carolina at Chapel Hill

Research Data Management and Sharing

170 оценки

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

Из урока

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.

Benefits of Sharing6:28

Challenges to Sharing3:37

Data Citations4:15

Познакомьтесь с преподавателями

Helen Tibbo
Alumni Distinguished Professor
School of Information and Library Science
Sarah Jones
Senior Institutional Support Officer
Digital Curation Centre, UK

[MUSIC]

Thus far, we have touched on FINRA expectations regarding data sharing as

well as some of the data management practices that can help researchers

share their data efficiently.

This includes following metadata standards,

creating documentation and following quality assurance protocols.

Now, we will delve more deeply into the topic of sharing digital data.

By the end of this lesson,

you will be able to identify some of the benefits of sharing data.

You will also be able to identify some of the challenges and

obstacles to data sharing.

And finally, you will recognize the importance and elements of data citations.

Let's consider the key players when it comes to data sharing.

First, there is the data creator or producer.

This is the person or entity who is making the data available to share.

There is also the person who reuses the data or the secondary data user.

Finally, there is the data repository.

This is where the data creator makes the data available.

A data repository plays a key role in enhancing the discovery and

reuse of the data.

And ideally, creating a formal data citation.

So what are some of the benefits of data sharing?

As we discussed previously, funders are encouraging.

And in some cases, requiring researcher to make their data available for

sharing to support transparency and openness and

maximize funders return on investment.

The specific benefits of data sharing to the research community are numerous and

discussed in much of the literature.

We will now look at the top ten benefits of sharing research data.

For more information on data sharing literature, check out the resources for

this module.

Number one, sharing data reinforces open scientific inquiry.

Making data openly available decreases the potential for

disagreements among researchers and allows scientific inquiry

to progress unimpeded to the benefit of the entire research community.

Number two, sharing data supports the verification and

replication of original results.

By making data available, data can be used to verify or replicate published results.

Verification can bolster the original results or it can expose errors.

Either outcome helps strengthen and

protect the integrity of the scientific record.

Number three, sharing data promotes new research and allows for

the testing of new or alternative methods.

While data creators may have one research question in mind,

the same data may be reused to answer new and innovative research questions.

Number four, sharing data encourages collaboration and multiple perspectives.

Sharing data can begin conversations between researchers across disciplines.

This could lead to cross-disciplinary collaborations or the exchange of

knowledge across fields that could result in new innovative research approaches.

Number five, sharing data provides important teaching resources.

Data are extremely valuable pedagogical tools.

Instructors may use data in analytical exercises or

students may model their own work after high-quality data examples.

Data can also provide students with firsthand experience in verifying results.

Number six,

sharing data reduces costs by avoiding duplicate data collection efforts.

Avoiding unintended duplicate data collections saves both respondents and

researchers valuable time and resources and freeze up researcher funds for

other projects.

Number seven, sharing data protects against faulty or fraudulent data.

Over the past few years,

there have been multiple stories in the news about misconduct in research.

Sharing data promotes transparency and accountability,

which lessens the potential for purposeful falsification or distortion of data.

It also allows reusers to detect unintentional errors.

And finally, the expectation that others may be verifying data

should encourage greater care in original analyses.

Number eight, sharing data enhances the visibility and

overall impact of research projects.

Making research data available within a data repository

can increase the visibility of researched products and increase the impact

of a project by encouraging secondary analysis of the data.

Scholars have also found a significant association between publishing data and

increased citation rates.

In the end, sharing data does not only benefit the broader research community,

but can also produce potential career benefits for researchers.

Number nine, sharing data preserves data for future use.

If a researcher makes their data available for sharing within a data repository,

then they can be sure that the data will be available and

understandable for the long-term for their own and others use.

Number ten, sharing data helps the broader community and

individual researchers do better research.

By sharing data, researchers support both their own research and

the broader research community resulting in science that is more accurate,

more open, more knowledgeable and has more resources at its disposal.

[MUSIC]

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