Posts tagged under: Data

From data to action: Leveraging insights to make more informed collection decisions

“How many books are there on Islamic law?”

This was the deceptively simple question posed by a colleague while brainstorming the potential scope of a digitization project on Islamic legal history. For non-librarians, it might seem like something one could just “look up.” But as you and I know, that kind of analysis only begins with a simple question and branches out into many more complex issues of data analysis, accounting for duplicate titles, different editions, and multiple languages, etc.

But I decided to give it a go and survey a selected number of libraries in North America using the tool Choreo Insights. I published the in-depth results of my findings in another post on the Islamic Law Blog, but today wanted to talk more about the process.

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RDM: A challenge too big to tackle alone

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The scholarly record continues to evolve, gathering a wider array of research outputs—including research data sets. In response, universities and other institutions have started to acquire capacity to support data management needs on campus. While services and infrastructure are coalescing around emerging data management practices, guidelines, and mandates, many questions remain about the future of the research data management (RDM) service space, and the university’s role in acquiring and managing RDM capacity in support of their researchers.

How do we approach problems like these that are clearly too big for any one institution to solve? One piece of the solution is to scale learning.

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Preserving Research Data: Are you ready for a long-term commitment?

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The scholarly record is evolving to incorporate a broader range of research outputs, moving beyond traditional publications like journal articles and monographs. Research data is a salient and well-documented example of this shift, and many universities are now investing considerable resources in developing RDM services for their campuses, as we document in our recent Realities of Research Data Management report series.

These services sit alongside much of the research life cycle, from support in developing data management plans prior to commencing research (think of DMPOnline or DMPTool), to computing and storage resources for storing, working with, and sharing data during the research process (often called active data management; for example, the DataStore service at the University of Edinburgh), to data repository services for storage, discovery, and access to final data sets (like the University of Illinois Data Bank).

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GDPR: What does it mean for OCLC and your library?

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Have you heard of the General Data Protection Regulation?

If you’re living in Europe, chances are you have. GDPR imposes a series of changes to the personal data privacy laws in the European Union and will go into effect on 25 May 2018. The new regulation will replace the current Data Protection Directive 95/46/EC. It is meant to harmonize data privacy laws across Europe and to give individuals more transparency and control with respect to how their personal data is processed. While GDPR does impose requirements that, in some instances, are more stringent than current EU law, regulators have stated that the new regulation should be viewed as an incremental change for organizations that are already complying with existing data protection laws, noting that the regulation is “an evolution, not a revolution.”

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Treat IT projects as library projects, and vice versa

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Last month, 40 library software developers from the United States, Canada, South Africa and the Netherlands came to Dublin, Ohio, to participate in a two-day conference focused on OCLC’s machine services. Designed to be used by computers, machine services are also called “application program interfaces” or APIs. They enable library developers to write software that can use these services while retaining control over the user interface.

Over the two days of this inaugural DEVCONNECT meeting, developers heard from both OCLC staff and staff from member libraries about our APIs and how to use them to create effective services. Karen Coombs also taught a half-day workshop on tips for developers using APIs.

Jennifer Vinopal, Associate Director for Information Technology for University Libraries at Ohio State University, was the keynote speaker, and you can view her presentation in the video below.

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The problem with data

2017-05-25 Trouble-With-Data

We’re being inundated with data. That’s what we’re told, right? We hear all the time how many exabytes of new data are being created every day. There’s just one problem: maybe none of it is the data we actually need.

I recently had the opportunity, along with several of my OCLC colleagues, to attend the Electronic Resources and Libraries (ER&L) Conference. I’ve been going to this great conference for the last two years, and each year it offers a really valuable look into how libraries manage e-resources. This year, several topics across multiple presentations led me to the conclusion that actionable data is actually pretty hard to find and even harder to wrangle successfully.

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