October 2014 Unemployment Rates

Posted on November 10, 2014 by steeleworthy

This week’s map visualizes Canada’s unemployment rates for October 2014, which were announced last week:

I coded this map with trepidation since comparing unemployment rates across provinces isn’t always as important as considering one province’s current rate against its own historic numbers. For example, this map shows us that Ontario’s unemployment rate still lags behind Alberta’s. No surprise there. What the map cannot do, though, is show that Ontario’s unemployment rate for this month – 6.5% – has finally recovered since the Sept 2008 crash. The last time Ontario’s unemployment rate was this low was in October 2008. To best visualize the province’s unemployment trend back to pre-recession numbers, one should simply chart the data, or even just give the real numbers in tabular format. The best way to do this on the web is with charts.js, which seems to be some of the easiest coding I’ve ever seen. That will be my project for later this week.

This map is created with:

Data from StatCan CANSIM Table 282-0087.
QGIS, an open source GIS programme
OpenStreetMap, an open source, crowdsourced world map
- Mapping imagery by Mapbox
- Simplified Canadian vector data from Natural Earth Data
Leaflet.js, an open source javascript library that helps you project maps on the web
qgis2leaf, a QGIS plugin that automates a lot of the codework

2011 Population Density, Brantford, Ontario

Posted on November 2, 2014 by steeleworthy

This week, I’ve taken the same population density variable I used last week and plotted it for Brantford, Ontario. I’ll be speaking about open StatCan data to our journalism students in Brantford in a few days’ time, so it was only fair to plot the same variable for our students in this city, too.

(Click here to open the map in its own window.)

This map is created with:

Data from the 2011 Census of Canada, at the census tract level.
QGIS, an open source GIS programme
OpenStreetMap, an open source, crowdsourced world map (Think Google Maps but open and free)
Leaflet.js, an open source javascript library that helps you project maps on the web
qgis2leaf, a QGIS plugin that automates a lot of the codework

Mapping for the masses: Population Density in Kitchener-Waterloo

Posted on October 29, 2014 by steeleworthy

One of my sidebar projects this fall has been to get back into mapping socio-economic data. This is something I used to do quite a bit four years ago (these maps have sadly succumbed to linkrot and plugin abandonment). Projecting numeric data onto maps is easier than most people think, and ever since I moved to a new city in 2013, I planned to pick up this skill again to learn a few things about my new town. And as a data librarian, I know where to find and work with census data, so it was easy to kickstart things into gear once more.

Below is a map showing population density in Waterloo Region’s census tracts at the 2011 census. Click through to get the entire map:

The interesting thing about this map isn’t so much its colorful polygons, (based on statistics anyone can download here) but the tools I used to build it. When I was creating maps in 2010, the average person who wanted to hack something out was limited largely to using Arc on his or her campus, or using the open source (and still maturing) variant, QGIS, or working with Google Maps. These days, QGIS is very mature and has a strong developer community, GMaps is still going strong, and users can use services such as Mapbox’s TileMill. The options to choose from are stronger, and there is an option that can meet your background, whatever it may be.

As an example, I’m linking over to Mita Williams’s recent work mapping population change in Windsor, Ontario, as well as making the case for electoral change in her hometown. Mita is a UX librarian and far more of a coder than I’ll ever be, so her recent work with maps shows a freer hand at hacking out java to make things go, while I use plugins within QGIS to automate some of the coding for me, which frees up my time to spend on analysis.

At the end of the day, our maps are projected with the same code and with data from the same datasets, so our endpoint is the same, but the tools we’ve chosen to use may be better suited to our own particular abilities. That is something I didn’t see in 2010 as much as I see today. And that change is a good thing. Getting these datasets into the hands of the masses, and then making them usable and understandable for everyone, is crucial to the precepts of openness – open access, open government, open data – that we espouse as librarians. One can have completely open access to data, but its value is lessened when it cannot be used or understood by all of society. Yes, open data is a crucial part of today’s citizen-to-citizen and citizen-to-government relationships, but the more tools people have to work with that data, the better.

Share the CLA Statement on Cuts to Statistics Canada

Posted on October 24, 2014 by steeleworthy

CLA: Cuts to Statistics Canada are Harming Canadians (October 23, 2014)

This week, in the middle of Open Access Week, the Canadian Library Association issued a statement criticizing the government cuts that have been made to Statistics Canada in recent years. This critique is strongly worded and it packs a punch; I expect it to gain traction beyond our regular librarian circles.

But getting the word out cannot happen without your help. Read the statement and share it with your colleagues and friends, especially with people outside of your typical library and archives networks. To make the case that StatCan is not just a numbers factory but a social barometer for the nation, we must extend our voice. We must be on point, and we must persuade.

I have copied the text of the statement from the original PDF in order to help circulate this statement. When you share, please link to the original document or to www.cla.ca.

-Michael

Cuts to Statistics Canada are Harming Canadians
October 23, 2014

The Canadian Library Association / Association canadienne des bibliothèques (CLA/ACB) is the national voice for Canada’s library communities.

Canadians know that access to reliable and high quality information, from the widest variety of points of view, is critical to a prosperous, functioning and democratic society. The decisions that citizens, communities, and governments make are better informed and have the ability to be more innovative when there is a free exchange of ideas facilitated by open and equal access to information. It is with these values in mind that CLA responds to recent and ongoing changes at Statistics Canada.

Recent programme cuts and policy changes at Statistics Canada have made it more difficult than ever for Canadians to track changes to critical issues that affect their communities, such as unemployment rates or the education of our children. The replacement of the mandatory long-form census with the National Household Survey, at a significantly greater cost, and the cancellation of many social surveys has made it increasingly challenging, if not impossible, for municipalities, hospitals, schools, and government agencies to administer social programmes and to track their success. In some cases, municipalities are financing their own surveys to gather the critical data they once had access to through StatCan. StatCan cuts and changes are continuing to impede effective planning for all agencies, making future programming a costly gamble. Additionally, with all levels of government focused on social and economic innovation, it is imperative that municipalities have the ability to look back on trends in order to plan for the future with reliable data.

Statistics Canada withering on the vine
Budget cuts have affected Statistics Canada enormously, which in turn affects all Canadians and all levels of government. While StatCan extended a lifeline to surveys and tools that tracked the nation’s economy through these cuts, it did so at the great expense of its social surveys, where significant budget reductions to the agency and ill-advised policy changes to its census program created major gaps that cannot be filled.
Canadians have forever lost valuable research that affects their communities as a result of cancellations of and cuts to surveys such as:

The National Longitudinal Survey of Children and Youth, which followed the development and well-being of Canadian children from birth to early childhood

The Survey of Labour and Income Dynamics, which provided valuable insight into the financial situation of Canadian families

The Workplace and Employment Survey, which examined employer and employee issues affecting the Canadian work place, such as competitiveness, technology, training, and job stability.

Canadians and their communities are now suffering the consequences of budget cuts and policy changes at Statistics Canada. Major, long-standing surveys that paint a dynamic picture of Canadian society have been eliminated, making it nearly impossible to do year-over-year comparisons and to track the changes in social data and programs over time. It is hard to imagine less responsible measures in the age of open data, open government, and evidence-based policy-making than limiting the supply of data or replacing it with inferior products.

In the context of fiscal responsibility, CLA believes that the government can be much more effective at planning and supporting sound planning. The current government is determined to balance the books and bring Canada into an environment of economic prosperity and growth. In order to plan for these outcomes, careful public spending is dependent on correct information to inform decisions. Statistics Canada has long been the core agency for Canada’s ability to plan and spend carefully at all levels of government, and within the business and not-for-profit sectors. CLA believes that without consistent and reliable data, this ability will be lost.

The CLA urges the government to return Statistics Canada to its status as one of the world’s most respected National Statistical agencies by restoring its funding and the long-form census. The CLA urges the government to provide Statistics Canada with the support it needs to collect, analyze, and publish data that has proven, longstanding value for decision-makers, communities, and Canadians alike.

The Canadian Library Association/Association canadienne des bibliothèques (CLA/ACB) is the national voice for Canada’s library communities, representing the interests of libraries, library workers, and all those concerned about enhancing the quality of life of Canadians through information and literacy. CLA/ACB represents 1410 library workers, libraries and library supporters; and Canadian libraries serve in excess of 34 million Canadians through the nation’s public, school, academic, government and special libraries.

For more information, please visit
www.cla.ca
Valoree McKay, CAE
Executive Director
vmckay@cla.ca
613-232-9625 x 306

New Article on RDM and Collaboration (and Canada)

Posted on June 5, 2014 by steeleworthy

Image CC @ Wikipedia

This week, my article on research data management and collaboration inside and outside the academic library was published in Partnership. And here’s my shameless plug: you should go read it now. The article examines the different facets of research data management – collection, access, use, and preservation – and it locates them within the different part of the academic library. It is also advocates for real collaboration with our peers and stakeholders across the entire university, such as our colleagues in Research Offices and Research Ethics Boards (IRBs for our American friends).

The article also examines the current policy gap regarding RDM in Canada, as well as ongoing efforts by different groups to develop RDM provisions in our granting formulas, and to provide resources and share expertise in order to ensure that we don’t create a paper tiger. What’s needed is not just policy but action, and both must be considered in the same breath.

Here’s the article’s abstract:

Research data management (RDM) has become a professional imperative for Canada’s academic librarians. Recent policy considerations by our national research funding agencies that address the ability of Canadian universities to effectively manage the massive amounts of research data they now create has helped library and university administrators recognize this gap in the research enterprise and identify RDM as a solution. RDM is not new to libraries, though. Rather, it draws on existing and evolving organizational functions in order to improve data collection, access, use, and preservation. A successful research data management service requires the skills and knowledge found in a library’s research liaisons, collections experts, policy analysts, IT experts, archivists and preservationists. Like the library, research data management is not singular but multi-faceted. It requires collaboration, technology and policy analysis skills, and project management acumen.

This paper examines research data management as a vital information, technical, and policy service in academic libraries today. It situates RDM not only as actions and services but also as a suite of responsibilities that require a high level of planning, collaboration, and judgment, thereby binding people to practice. It shows how RDM aligns with the skill sets and competencies of librarianship and illustrates how RDM spans the library’s organizational structure and intersects with campus stakeholders allied in the research enterprise.

For what it’s worth, collaboration has been a real buzzword at IASSIST40 and I’ve already been to a few presentations that share similar arguments as mine, and which definitely have the same spirit. I hope we’re all on to something with this, and I hope that we in Canada can get up to speed with our counterparts in other countries.

Finally, this paper began in part from an Introduction to RDM session that I co-presented with Jeff Moon of Queen’s University at OLA in January 2014 (details here). Jeff has also written a great article on research data management, and it appears in the same issue of Partnership. He is on the forefront of RDM in Canada and knows how to get things done, so be sure to read his work, too.

-ms

2014 OLA presentation on RDM

Posted on April 2, 2014 by steeleworthy

(n.b.: This post about my RDM co-presentation at the 2014 OLA SuperConference is very, very late. I had decided to let it go in February and not publish it. However, now that the term is winding down and I’m finding time to look back on the past three months, I’ve noticed that the event still sticks out in my mind, so I’ve decided to present the slides to everyone. -m.)

In January 2014, I co-presented a session, Research Data Management: an Introduction, at the OLA SuperConference in Toronto. Working with Jeff Moon of the Queen’s University Library, we led a thorough session on RDM basics to the crowd. Jeff, always the great teacher that he is, spoke first by introducing RDM – what it means in terms of stewardship and infrastructure, its place within Canadian librarianship, how it is implemented, etc. The Queen’s Library has developed a great model for RDM through the work of Jeff and Alex Cooper: it is scalable, it is built on local and consortial resources, and it develops in-house knowledge. It is one of several RDM units that Canadian librarians should investigate when considering RDM, in my opinion.

I followed Jeff by discussing RDM within the organizational context of the library and the university. In many ways, RDM touches upon all the “traditional” library functions: acquisitions and collections, access, reference and research, preservation, IT, etc., and I firmly believe that an RDM programme can’t fully succeed without engendering collaboration with colleagues from all these areas. Not all of our libraries have a wealth of resources to develop our RDM programmes, but we certainly aren’t going to get good mileage if we can’t bring together all library functions to develop our data collection infrastructure and use our information management expertise to serve this pressing need within the Canadian research enterprise.

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There were two other major points I touched on in the presentation, which I want to reiterate in text. First, a strong RDM programme is going to require buy-in from your entire team of librarians, including liaison librarians. As others have noted (e.g.: Witt, Hswe and Holt;, Gabridge,) liaisons are our colleagues with subject expertise and with developed networks within their departments. Furthermore, when RDM eventually becomes a Tri-Council obligation (as I expect it to become), we are going to require help from liaisons to make sure that we don’t drown in a deluge of work. Secondly, make sure you reach out to your campus Office of Research Services, your IT Services, and to your Research Ethics Boards. These groups are allies, they are valued stakeholders on campus, and they have a wealth of expertise in the research enterprise. Research Data Management is not the domain only of librarians, and we can’t forget that. RDM requires our colleagues across campus, both in the faculties and in administrative units. I hope to write more on this during the spring since I’m working on this particular area at the moment myself.

You can find slides from our presentation at this link, under Session 413, and I’ve embedded mine below. (And yes, it was a damn fine cup of coffee.)

[slideshare id=33005685&doc=20140130olardmfinal02-140401160730-phpapp02]

Research Data Management Highlights: Digital Infrastructure Summary Summit 2014 Summary Document

Posted on March 20, 2014 by steeleworthy

This week, a very significant document regarding the future of research data management and digital stewardship landed on my desktop. This is a PDF all academic librarians in Canada must read – whether or not you are tasked with RDM. If you are in IT, Research Facilitation, REB, Industry Compliance, or are a researcher or an administrator, then you should read this, too. It conveys the pressing importance of RDM to the profession, and it shows that we have an opportunity at hand if we take it – or a storm brewing if we turn it away.

The document is the Summary Report for the Digital Infrastructure Summit 2014. This conference was hosted by the Leadership Council for Digital Infrastructure in January 2014. Group representation included CARL, CRKN, CANARIE, TC3+, and CUCCIO; in all 140 participants took part (p. 1). This document outlines the outcomes of the summit, which argued that RDM is lacking in Canada, that a sincere commitment to digital stewardship and not just technology is required to move forward, and the time to act is now (p. 1). If you are a Canadian academic librarian, download the document and read it now.

Note: I was not a participant of this summit and am only summarizing the PDF in regards to RDM in Canada for librarians. I’m standing on the shoulders of giants when I write this post.

This document asks What is Digital Infrastructure (DI)?, considers the existing problems that are hampering the development of an effective DI in Canada, and traces a clear path forward on which the Canadian research enterprise should move. Research Data Management and the people involved in it are front and centre in this document, and this means academic librarians and preservationists. The library has a significant role to play, and we are expected to contribute.

Digital Infrastructure and Soft Skills

One of the document’s biggest takeaways – and what I argue should be one of the first talking points you should use when discussing research data management – is that digital infrastructure (DI) is far more than technology alone. The executive summary states in clear, plain language that digital infrastructure includes “our ability to capture, manage, preserve, and use data . . . data are infrastructure, as are the highly skilled personnel who facilitate access to data, computational power and networks” (p. 1). DI requires “skilled knowledge management personnel” (p.1) who have technical capacity, but as we see elsewhere in the document, also can participate in local and national policy formulation and interpretation, understand project management, and have the capacity to collaborate and lead in their own field and in others. These are a suite of advanced “soft skills” that are concomitant IT knowledge and experience, and they are bound together with other essential criteria such as sustained funding and ongoing government and industry support, which allow research data management to flourish rather than wither on the vine. A successful solution that addresses near-team and long-team RDM issues requires skilled, committed resources on the ground who are leading the way. DI cannot be left to colleagues on limited term appointments or to our grad students. It demands institutional memory and it requires organizational vision.

I’ve mentioned the argument in the above paragraph in a post long ago, but I’ll take this opportunity to link out again. Chuck Humphrey states this in clear terms when he explains that RDM is the “what” and the “how”, and digital stewardship is the “who”, and both are necessary requirements in RDM infrastructure. If you are a librarian, then read Chuck’s website. If you are a Canadian librarian, then read it again. And again.

What’s wrong with Canada’s Digital Infrastructure?

The Leadership Council has cut right to the chase in their document. They want you, the reader, to know right away that there are real issues affecting digital scholarship in Canada:

Our research data are a national asset, and they are not stewarded properly (p. 1). Canada needs to get up to speed, quickly. It needs RDM and it needs it now. It requires data storage infrastructure it doesn’t have at present. It requires better skills training. It requires better software development. (Fellow Librarians: This is all about us.)
There is very little governance and coordination (p. 1-2). There are many, many players, from funding agencies to libraries to standards organizations to researchers themselves. We are all trying hard to fix this, but we’re not working together. Our governance model is weak. Time is lost, efforts are duplicated, and we are spinning our wheels. (Fellow Librarians: This is very much about us. Get in there and make it happen.)
There is very little federal policy regarding DI (p. 2). This is related but distinct from the second point. With little direction from government, the community is looking in all directions all at once. Greater coordination, planning, and sustained, reliable investment would be beneficial to the national research enterprise. (Fellow Librarians. This, too, is about us. Do. Take part. Take charge.)

How to act. How to improve RDM. How to solve this crisis.

Note: I am focusing on mainly on RDM and digital stewardship in this post; the original document gives equal attention to other areas such as governance, policy, and funding.

Research data management/stewardship is as yet the weakest link in the Canadian DI landscape, despite the massive increases in the amount of data being created daily through the research process. There is currently no agreed-upon strategy and/or the capacity to protect this valuable public asset, with little capacity to support access, use and reuse by a wide range of users. (p. 6)

The document makes a strong case not just for increased technical infrastructure but for greater knowledge management, project management, and policy analysis. We simply cannot allow ourselves to dump data files one after another onto a server and then hope that serendipity or an as-of-yet uncoded search algorithm will help us organize, preserve, and provide access to these files in the future. Research data – especially publicly funded research data – are a public good, and they require maintenance, management, and care.

The document highlights significant RDM gaps in Canada that must be addressed. These are:

Lack of a core RDM resource (p. 8)
Lack of strategy (p. 9)
- Canada has no high-level strategy framework guiding debate and decisions on standards, infrastructure and distribution access networks, obligations to existing international agreements; funding
Lack of Policy leadership (p. 9)
- Tri-Council should take the next step and implement RDM policy under consideration.
Weak RDM culture (p. 9-10)
- The benefits that RDM brings must be better articulated.
Lack of understanding of Digital Infrastructure (p. 10)
- It is incumbent that stakeholders demonstrate to the greater community that digital infrastructure necessarily includes the data, and the professionals who steward them
Lack of training (p. 10)
- RDM training is inconsistent at present and must be improved in the short-term for practitioners and researchers alike
Weak policy on long-term data lifecycle management (p. 11)
- Like any collection, data must be managed in part because its supports are not without cost. Management will include asking tough questions like what should be preserved, if we have the means and capacity to preserve it, and for what length of time. I recommend that we all have discussions about data collection policies as soon as possible. Locally, in our consortia, and nationally.
Lack of Storage (p. 11)
- Storage capacity for all disciplines must be addressed. RDM is in no way an “X not Y” proposition. We must serve all discipline, departments, faculties, and researchers.
Means to foster acceptance (p. 11)
- This is a tricky issue. We need our researchers to accept and be a part of RDM. Compliance should be required, but strict policies at the outset may prevent too much pushback. There will be give-and-take in the beginning.
- Note: The original document refers to “compliance” here. I don’t want to use that term. Do we need sticks? Yes. Do we want to use them? Only if we have to. But from the outside, we must have the attitude that everyone is a partner in this venture.

Good data stewardship is not just a researcher’s responsibility, but it also needed at institutional, organizational, national, and disciplinary levels. (p. 10)

Making things happen and getting things done.

The LC provides a roadmap for action and results in its summary report from its 2014 Digital Infrastructure Summit. I am focusing on RDM-related activities and policy in this post since they are both so important to me, so I do encourage you to read the entire document yourselves to see the entire action plan.

The LC’s ways forward for RDM and policy include:

Maintain the Leadership Council and analyze its organizational structure (p. 17-18)
- A steering committee is required and the LC has done a good job this far. That said, there are clamours and a need for greater representation. Consider increasing membership, developing an executive committee, form working groups, and establishing a Charter and Secretariat
Engage government (p. 19)
- The LC had developed a strong community-driven response to RDM challenges. That said, push government – again – for improved coordination of policy and funding
Establish a national RDM network (p. 20)
- Working on CARL and CRKN’s leadership and experience in this area, establish a network focusing on services, tools and tech, and education
Create an RDM pilot (p. 21)
- Develop pilot discipline-based RDM programmes in three domains: astronomy, social sciences, and medical genomics
Coordinate with CRKN’s Integrated Digital Scholarship Ecosystem (ISDE) (p. 22)
- Engage with this initiative that will enable next-gen library collaboration for seamless access, and improved infrastructure
Develop an RDM metrics pilot (p. 22-23)
- For assessment, understanding performance

If you have made it this far in the post, then I offer you my congratulations. There is a lot of information to synthesize, but it is vital that academic librarians in Canada understand what is on the horizon for our profession, and what role will be expected of us. As this post shows, the work that follows – the opportunity we can take hold of – is as much resource-related and people-related as it is tech-related. To discuss digital infrastructure is to discuss the people who make it happen. Research Data Management doesn’t happen on its own. RDM requires careful planning, policy interpretation, technical capacity, and a thorough understanding of resource management.

And yes, this is an opportunity for us. But we must be ready for what is to come. RDM will soon become the coordinated response to big data in Canada as it is elsewhere in the developed world, and it will mean work. But this is our work. It is our field. Take heed, take note, ask questions, and get set. Plan for this, and get set to play a leading role, because things are going to get busy.

tl;dr : read this now. apply it to your work.

Research can be hard. That’s okay.

Posted on October 1, 2013 by steeleworthy

Joe Hardenbrook has written a great post on the issue of making (re)search exciting or fun, which you should all read. It drives home some opinions that I bet a lot of us share, mainly being that research isn’t necessarily exciting. And that any “excitement potential” held in a research project is dependent more on the subject matter and the researcher than it is in any tool at hand. Kudos to Joe for speaking plainly and truthfully on this subject.

This “make research fun” issue is something that I often struggle with, especially when reading some LIS blogs and Twitter streams that veer into the subject. “How do I make research exciting?” “How can I make this assignment fun?” “How can I keep them interested enough to see all of ProQuest’s search refinements?” “Will they pay more attention in my one-shot if I launch into a stand-up comedy routine?” I don’t buy into the argument underlying questions like those. I’ll speak candidly here: I do not believe that it’s our job to make research “fun.”

I’m not a killjoy at work, and I promise that Steeleworthy’s Office Hours is not all doom and gloom, but neither am I some one who is going to pretend that research is something it’s not. Research is work. Research can be frustrating. Even for the best researchers on the planet, research can be difficult. The advice and consultation I give can definitely help researchers of all kinds (students, faculty, staff, community members, etc) make their research more efficient by systematizing their work and improving their search precision, and this will make their work easier had they not spoken to me first. If our researcher’s excitement or interest is piqued in the research process – if they found cheap thrills as librarians and archivists do when they’ve found the needle in the haystack – then I’m thrilled and I know I’ve done my job. But “excitement” should not be our primary measure here. Our main purpose (our main duty) is to collect the best of the world’s information, master its systems, and then help others access this information and master the systems themselves.

What it comes down to for me is how we present ourselves and our work to our users. Our users don’t expect us to be fun-makers. Our users come to us because they need help finding stuff. If we can put a smile on their face along the way, then we’re doing them a service, but only if we’ve helped them find that information in the first place.

I’m going to end this by quoting Joe:

I’m a realist: Will they be excited? Chances are, no. But will they think the research process seems a little more doable and will they be willing to seek help? Yes.

We’re here to help people master research. In many ways, the library is where the job gets done at university. I really do hope that everyone enjoys their work, whatever their work is. And I also hope that everyone enjoys the classes they are enrolled in and the assignments they are working on. But those assignments are still work, and I don’t want to play down the effort required to get the job done. I have an excellent demeanour with my users and I’m confident that many of them see me as a team player who will help them through their research. But I won’t lie to them. I’m not going to say that some one is going to have a blast writing an essay when really they just want to have watched last night’s season premiere of Revenge. Instead, I speak honestly to my users. “Is this going to be work?” Yes, probably. “Is it going to take some time?” Yes, likely. “Is it going to be the worst thing to ever happen in my life?” Not at all. “Are there tools and techniques I can use to make my work more efficient?” Yes, definitely. “Can you help me?” Yes, obviously. I am already.

September Projects, 2013

Posted on September 22, 2013 by steeleworthy

I’m stating the obvious by telling you that September is a busy month in academics. The start of the school calendar changes the mood, tempo, and pulse of a university campus, and it shifts things at the library into full gear as we roll out all programming and services. Here are a few of the things I’ve been contributing to lately, which has kept me busy in a good way (as opposed to the bad kind of busy).

Changing liaison duties

I’ve taken on liaison duties in Sociology and Social Work while a colleague is on sabbatical this year, and I’m also part of a group that is expanding the Library’s services to the University’s students who are cross-registered at the Balsillie School of International Affairs. This has already translated to a large increase in my in-class instruction, especially for Social Work, which is its own Faculty and has its own small library. Taking on these subject-based duties has been a great opportunity since they’ve given me greater everyday contact with faculty and researchers whose work touches on socio-economic data or would benefit from research data management support and consultation. Simply put, it’s a lot easier to push data management planning when you already have a built-in relationship with the researcher, so I expect my subject-based work in Sociology and Social Work to benefit our RDM programme.

Outreach to Faculty and Students

This term, I’m offering a full slate of seminars on research data management, bibliometrics, and data access through the library. I developed these seminars with a graduate student/faculty audience in mind, partly to help the Library increase its presence within graduate programming and in the university’s research enterprise. While I don’t expect large numbers because this is the first time in a few terms that we developed a suite of seminars with graduate or faculty research in mind, I do hope they begin to build on our growing profile as a center of research facilitation on campus. (This could be a blog post in its own right; I may have to write more on it in the future.)

Citation management

Our Library has taken a close look at RefWorks and has also considered what kinds of citation management systems our users use. What we’ve known all along is that many people use RefWorks and many people do not. We asked ourselves why we commit our support only to one service when our users will always work with their personal preferences in mind, and we decided that giving information and advice on RefWorks alone just doesn’t cut it. If we are to support or know something about citation management and research management, then we shouldn’t limit ourselves to only one tool. Going forward, our library is now supporting RefWorks, Zotero, and Mendeley by offering instructional sessions, consultation, and in some cases, even research collaboration between the researcher and the librarian through these tools

Data and Statistics

Don’t think that this project or the next (RDM) are subordinated to the others I’ve mentioned because they’re at the bottom of this list. That’s far from the truth as both areas have seen significant change in the past few months. On the Data and Stats side alone, data librarians in Canada are busy dealing with a new EULA for Canada Post postal code products (e.g., the PCCF) and what it means for researcher access and use. This issue alone has eaten up probably half of my time in the past two weeks since the new EULA changes long-standing practices for researchers who use these products, and the library, which administers licences on their behalf. A lot of time has been given to consultation within the data community and within the library to produce new practices, and I’m now rolling out a PR and education campaign. If you are Laurier faculty and use postal code products, be on the look out for more news on this very shortly. If you’re faculty at another university in Canada, you may want to contact your own data librarian.

Research data management

RDM has been the largest part of my work at Laurier. We’ve been developing a research data management programme, based largely on consultative support that helps researchers and research groups learn about and then develop flexible data management plans that speak to their current and future research needs. Next month, I’ll be attending CASRAI’s ReConnect2013 conference to build upon my current knowledge and to see and learn what others are doing in this area across Canada and in other jurisdictions. We have a couple of RDM projects on the go already, and I would like to increase that number on campus since the service the Library provides offers clear benefits to the researchers in terms of meeting funding obligations, providing research management planning, and improving access to and citation of produced work after the research has ended. Laurier researchers: let’s chat.

Michael Steeleworthy, MLIS

Libraries, etc.

Category Archives: Information Profession