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Qualitative Social Science and Humanities Data Interest Group (QSSHDIG)

The Qualitative Social Science and Humanities Data Interest Group (QSSHDIG) had another great year. We would love to have you join us if you are interested in our group. Just ask Mandy or Lynda.

  • At IASSIST 2017 we had social gathering and a BoF meeting to brainstorm activities for upcoming year. You can read our notes from the discussion on our website.
  • A subgroup posted a four-part blog series in late July/early August of 2017. Big thanks to Mandy, Liz Cooper, and Jill Conte for organizing and writing.
  • Gathered group feedback for a book proposal outline on Qualitative Research Data Librarianship book proposal. Planning to do special issue of IQ with Celia Emmelhainz and Lynda Kellam as guest editors. Email Lynda if you are interested in working with us.
  • Created IASSIST QSSHDIG google site – includes an “expert list” that we compiled and circulated to the IASSIST listserv.
  • Coordinated with Amy Pienta and Qualitative Data Repository (QDR) folks to arrange IASSIST PROFESSIONAL DEVELOPMENT WEBINAR SERIES: Teaching Qualitative Data Management: Lessons from QDR.
  • Subgroup is reviewing the list of libraries that are Association of Research Libraries for qualitative data support and training/edu materials. Out of 126 libraries we were able to review 116. Data are compiled, but not ready to report out findings yet. We plan to use it for compiling a teaching materials page on our site and for possible article in the special issue. Thanks to Sara Demott, Liz Cooper, Alesia Montgomery, Jonathan Cain, and Mandy for doing the reviews and special thanks to Sara for setting up the Qualtrics survey.

IASSIST Quarterly Volume 42:1 available

Editor's notes:  Rebuilding, Preserving and Reproducing

Welcome to the first issue of Volume 42 of the IASSIST Quarterly (IQ 42:1, 2018).

The IASSIST Quarterly has a focus on curation, preservation and reproduction of research, and all three bases are covered in this issue. The reproduction of earlier results from archived data is a validation of the data and also of the earlier research. The mimicking reuse of data for reproduction of the original results is the normal first step before use of the data for new purposes. This IQ starts with a paper on reproduction. Before reproduction is possible, intensive work is required at the earliest stage to curate the data, and in the case of older data - as presented in this issue - a costly process of rebuilding the data from old formats and forms of storage. Between the establishment of the data as a resource and the subsequent reproduction, the preservation process secures the data for future use. The middle paper brings special attention to preservation of 3D digital data.

At the IASSIST 2017 conference the presentation 'Reproducing and Preserving Research with ReproZip' was given at the session 'E3: Tools for Reproducible Workflows Across the Research Lifecycle'. This is presented here as a paper with the title 'Using ReproZip for Reproducibility and Library Services' by Vicky Steeves, Rémi Rampin, and Fernando Chirigati. The authors work at New York University as Librarian for Research Data Management and Reproducibility, Research Engineer, and PhD candidate. They present ReproZip, an open source tool designed to help overcome the technical difficulties involved in preserving and replicating research, ranging from digital humanities to machine learning as well as library services. The paper addresses the concept of computational reproducibility leading to capture and preservation of digital environments, and the creation of a file that encapsulates metadata about the computational environment - including the operating system, hardware architecture, and software library dependencies - in order to achieve reproducibility. The authors state that ReproZip can be used to reproduce and preserve research holistically.

At the same conference in the session 'E1: Preservation Matters' Jennifer Moore of Washington University Libraries in St. Louis and Hannah Scates Kettler of University of Iowa Libraries presented their paper 'Who cares about 3D data preservation?'. Well, the IQ does! 3D digital data preservation is necessary when for example an anthropologist produces digital 3D data as a preservation and presentation mechanism for an artefact. The 3D digital data has - like other data - to be treated for preservation. The artefact could be a building, and the paper holds much technical information and literature that refers to various interesting 3D projects; for example the Augmented Asbury Park app that projects lost - and now virtual - buildings and attractions upon their earlier physical space using augmented reality.

The last paper in this issue is 'Retirement in the 1950s: Rebuilding a Longitudinal Research Database' by Amy M. Pienta and Jared Lyle, respectively Associate Research Scientist and Director of Curation at ICPSR at the University of Michigan. This tells the story of the successful recovery of the important data from Gordon Streib’s Cornell Study of Occupational Retirement (CSOR). The paper includes the caveat that the work involved in rescuing these old data was many times more expensive than curating newer data would be. The CSOR followed a large (over 4,000 person) national cohort of retirement-age men and women in the period 1952 to 1958. The study is of great value for research in such areas as the relationships between health and gender and retirement. The data was deemed unrecoverable, as the punched cards did not directly match the documentation. Further work and additional materials were required to make it possible. The data is enriched by collections of several types of health records and examinations; some remaining in paper form that can be consulted for closer investigation on-site at ICPSR.                                            

Submissions of papers for the IASSIST Quarterly are always very welcome. We encourage you to login or create an author login to https://www.iassistquarterly.com .  We welcome input from IASSIST conferences or other conferences and workshops, from local presentations or papers especially written for the IQ. When you are preparing a presentation, give a thought to turning your one-time presentation into a lasting contribution. We permit authors 'deep links' into the IQ as well as deposition of the paper in your local repository. Chairing a conference session with the purpose of aggregating and integrating papers for a special issue IQ is also much appreciated as the information reaches many more people than the session participants, and will be readily available on the IASSIST Quarterly website at http://www.iassistquarterly.com. 

Authors are very welcome to take a look at the instructions and layout:

https://www.iassistquarterly.com/index.php/iassist/about/submissions

Authors can also contact me directly via e-mail: kbr@sam.sdu.dk. Should you be interested in compiling a special issue for the IQ as guest editor(s) I will also be delighted to hear from you.

Karsten Boye Rasmussen - April, 2018

New to IASSIST or Willing to Mentor Someone New?

 New to IASSIST or Willing to Mentor Someone New?

 

Please sign up by Thursday, May 17. Conference contact assignments for IASSIST will be emailed by the end of the day Monday, May 21.

 

 

Please fill out in Google forms:
https://docs.google.com/forms/d/e/1FAIpQLScyW2B9m8o5-6Z0D0FPdsTcqkOpUDk_w_u4WwuyIpDWgjAQJQ/viewform Looking forward to the best IASSIST ever!   Bobray Bordelon bordelon@Princeton.edu IASSIST 2018 Mentor Coordinator

IASSIST Quarterly Volume 41 available--on a new web site!

Welcome to the first issue of Volume 41 of the IASSIST Quarterly. It has taken extra time for this issue to appear. The cause of this is not that we have been extra lazy.  The paradoxical cause is that a great many people have been extra busy. Thanks to the team of people in the editorial group of the IASSIST Quarterly and - not least - the great help from Sonya Betz working as Digital Initiatives Projects Librarian at the University of Alberta Libraries in Canada, the IASSIST Quarterly has now moved to the Open Journal System (OJS) at the University of Alberta. We believe this shift is going to benefit all stakeholders of the IQ. It is mostly the inner workings of the production that has changed. As a potential author you are still very welcome to mail the editor.

The first issue of Volume 41 (2017) at the same time becomes the last issue of that volume. In order to get close to the real time we are catching up by jumping three issues. Therefore, this issue is labelled as Vol. 41 1-4 of 2017. Next issue will be 42 1 of 2018. 

The new issue of IASSIST Quarterly is placed as the 'Current' issue in the Open Journal System on the web at:

https://www.iassistquarterly.com

We hope you will enjoy the new open journal system. We also encourage you to 'Register' as an author on the website. See more about submitting a paper for the IQ under 'For Authors' and 'Submissions'. 

The archives of the IQ issues are transferred to the new IQ website. As the website is new there might be things concerning the IASSIST Quarterly that might not have been updated both on iassistquarterly.com and iassistdata.org. The website for the IASSIST organization continues, it is only the IQ that is moving to its own website. Please report errors and confusions, thanks.

The Vol. 40 (2017) is labeled 'The data is out there - just like the truth!' 

The first article concerns data for published articles in journals. The paper ‘Journals in Economic Sciences: Paying Lip Service to Reproducible Research?’ is by Sven Vlaeminck and Felix Podkrajac. Sven Vlaeminck works in research data management for ZBW – German National Library for Economics / Leibniz Information Centre for Economics in Hamburg, Germany. Felix Podkrajac is an academic subject librarian at the Library and Information System of the Carl von Ossietzky University of Oldenburg. Some economic journals have a 'data availability policy', and Vlaeminck and Podkrajac are presenting a study of the compliance of actual research to such policies.

The second paper in this IQ issue is titled 'Designing the Cyberinfrastructure for Spatial Data Curation, Visualization, and Sharing' by the authors Yue Li, Nicole Kong, and Stanislav Pejša. All three authors are working at Purdue University Libraries as respectively GIS analyst, assistant professor, and data curator. They argue that spatial data is an important component in many studies and has promoted interdisciplinary research development. In their development project at Purdue they have streamlined spatial data curation, visualization and sharing by connecting the institutional research data repository with the library’s GIS server set and spatial data portal.

The last paper is also addressing data management. The paper 'Research Data Management: A proposed framework to boost research in Higher Educational Institutes' is a collaboration between Bhojaraju Gunjal at Central Library of the National Institute of Technology, Rourkela, Odisha, India, and Panorea Gaitanou of the Department of Archives, Library Science and Museum Studies, Ionian University, Corfu, Greece. They begin with an abstract of Research Data Management (RDM) issues where they promise 'a detailed literature review regarding the RDM aspects adopted in libraries globally'.

Taking good care of data is worth writing articles about and is also worth writing books about. In this issue we present two book reviews: 'Databrarianship: The Academic Data Librarian in Theory and Practice' by Lynda Kellam and Kristi Thompson is reviewed by Chubing Tripepi of Columbia University, while 'The Data Librarian’s Handbook' by Robin Rice and John Southall is reviewed by Ann Glusker of The National Network of Libraries of Medicine.

Submissions of papers for the IASSIST Quarterly are always very welcome. We welcome input from IASSIST conferences or other conferences and workshops, and from local presentations or papers especially written for the IQ. When you are preparing a presentation, give a thought to turning your one-time presentation into a lasting contribution. We permit authors 'deep links' into the IQ as well as deposition of the paper in your local repository. Chairing a conference session with the purpose of aggregating and integrating papers for a special issue IQ is also much appreciated as the information reaches many more people than the session participants, and will be readily available on the IASSIST website at http://www.iassistdata.org.  

Authors are very welcome to take a look at the instructions and layout:  http://iassistdata.org/iq/instructions-authors

Authors can also contact me via e-mail: kbr@sam.sdu.dk. Should you be interested in compiling a special issue for the IQ as guest editor(s) I will also be delighted to hear from you.  

Karsten Boye Rasmussen, November 2017

Mongolia and IASSIST: Building Connections

See video

Spring 2017

Mongolia is large and sparsely populated country, with nomadic traditions, but rapidly modernizing.  As in any modern country, there is an important role for data to play in planning and development, and Mongolian data professionals are developing themselves to meet the challenge.

Last year in May 2017, Ryan Womack (currently serving as IASSIST Secretary) was invited to give a two-day workshop on Topics in Data Science at the National Statistics Office of Mongolia.  There were 33 attendees from the NSO and a cross-section of Mongolian government agencies focusing on data.  

IASSIST generously provided sponsorship to cover the cost of participants' lunches during the event, which were held at the delightful "Modern Nomads" restaurant, serving traditional Mongolian cuisine.  While the workshop participants were refreshed by the meals, this event also gave the opportunity to familiarize a group of Mongolian data professionals with the work of IASSIST.

A key organizer of the event on the Mongolian side was Ch. DavaasurenResearch and Development Director of the Mongolian Marketing Consulting Group [pictured at the left in the video above].  His assistance was invaluable in arranging all of the contacts, schedules, meals, translations, and other details of the visit.  His expertise and concern for data issues was also evident throughout.  MMCG is the leading survey research organization in Mongolia and conducts surveys for international business, NGOs, and nonprofit organizations on marketing, social, and political topics.

The visit to Mongolia also included talks by Ryan Womack at the National University of Mongolia, the Mongolian University of Life Sciences, and the Mongolian University of Science and Technology.  This provided an opportunity to meet with academics working with data and statistics in Mongolia, and another chance to introduce the Mongolian data community to IASSIST.  Further details and photos from that visit are here.

Spring 2018

Flash forward to this year.  Ch. Davaasuren maintained his interest in IASSIST that had begun from the prior year's meeting.  

Ch. Davaasuren applied for and was selected as an IASSIST Fellow, and will attend IASSIST/CARTO 2018 in Montréal.  Davaasuren's most recent conference experience was as the lead organizer for the first Asia Pacific Research Committee conference ever to be held in Mongolia.  APRC is focused on developing market research methodology in the Asia-Pacific region, and may be a useful partner in extending IASSIST's outreach in Asia. Davaasuren is also Chair of the Mongolian Marketing Research Association.

Ryan Womack has also continued his interest in Mongolia, and was invited to teach a one-week Short Course on Multivariate Statistical Methods with R at the Mongolian University of Life Sciences in February.  That visit is profiled, with photos, here.  Continued discussions with the Mongolian University of Life Sciences and the National Statistics Office of Mongolia promise further collaborations in the future.

With Davaasuren coming to Montréal, it will be a chance to meet with other IASSISTers and hopefully to broaden the base of Mongolian connections to IASSIST, and vice versa, further internationalizing our organization.  IASSIST event sponsorships and the IASSIST Fellows Program can catalyze that process.

IASSIST/DCN Data Curation Workshop

 

The IASSIST & Data Curation Network (DCN) hosted a Data Curation Workshop on December 11 & 12, 2017 at Washington University in St. Louis, USA. Support from IASSIST, Washington University in St. Louis, the University of Minnesota, Cornell University, the University of Michigan, and the University of Illinois, Urbana-Champaign brought together approximately 45 professionals to learn how to richly curate research data from a number of domains.

Participants came from a wide variety of functional backgrounds, including catalogers, archivists, subject specialists, data management librarians, repository managers, and more. Attendees traveled to St. Louis, MO from as far away as the University of Virginia in Charlottesville, VA and Boise State University in Boise, Idaho. Additionally, there was a diverse makeup of institutions represented, including liberal art colleges, Research 1 institutions, and government agencies. Support for this workshop provided a few micro-scholarships to applicants who would otherwise not be able to attend.

This 1.5 day workshop focused heavily on the hands-on treatments required to richly curate research data. Attendees learned and then practiced a six step CURATE process of checking, understanding, requesting, augmenting, transforming, and evaluating datasets to be Findable, Accessible, Interoperable, and Reusable (FAIR). Curricula also included the value of data curation and an introduction to IASSIST and the Data Curation Network (DCN). Each attendee left the workshop with experience in curating real-world data, an elevator speech for talking about curation needs, and a plan for moving curation services forward or enhancing existing services locally. The workshop agenda and links to the slides are available through the workshop webpage.

Feedback from workshop attendees indicated overwhelming satisfaction with content.  While we focused heavily on the manual treatments required to richly curate data, many attendees wanted more exposure and experience with software and tools they could use to curate data. The hands-on portion of the workshop was extremely successful given the use of real-world datasets from each of our institutions. Using actual submissions highlighted the complexities of curating data for which an institution may not immediately have the expertise.

The instructors for this workshop came from organizations are all members of the Data Curation Network. The DCN project was launched with funding from the Alfred P. Sloan Foundation in 2016 and seeks to develop a shared staffing  model across nine institutions and organizations for data curation. By sharing our data curation expertise across a ‘network of expertise’ we aim to enable our academic libraries to collectively, and more effectively, curate a wider variety of data types (e.g., discipline, file format, etc.) that expands beyond what any single institution might offer alone. Training and community-building, through workshops such as this, is a natural component of the DCN vision.

Additional data curation workshops are being planned for the near future. For those interested in future workshops, we encourage you to watch the Data Curation Network website for updates. We are grateful to IASSIST for its support, without which this workshop would not have been possible.

Data Workshop at the National Library of Australia, sponsored by IASSIST

 Posted on behalf of Jade Koekoe

In February I won sponsorship money from IASSIST for a Data Workshop I had in mind. On the 18 November this year I saw my idea come to life. This Data Workshop was aimed at Library student and newgrads and was held in the Ferguson Room of the National Library of Australia. 26 people attended and there were five speakers from industries adjacent to librarianship.

  1. Sam Spencer from Data61, CSIRO
  2. Steven McEachern from the Australian Data Archive
  3. Karen Visser from the Australian National Data Service
  4. Ingrid Mason from the Australian Academic and Research Network
  5. Riley Post a PhD Candidate from University of Canberra

My goal for this workshop was to get students, newgrads and those new to data to start thinking about the fundamentals when it comes to managing data. Those fundamentals are things like:

  • Where are you storing your data, do you know where your servers a located, have you checked your backups lately?
  • What are the types of data librarians manage today?
  • Getting an idea of the big collaborations in place, the ways people are using data and organisations/platforms that manage data for users.

 Sam and Ingrid presented attendees with a sample of the vast amount of standards for managing topic and profession specific data. Attendees engaged quite well with these speakers and asked technical questions and wanted to know their expectations from librarians in their current role.

Steven highlighted the National Collaborative Research Infrastructure Strategy program, and its National Research Infrastructure roadmap. I could see attendees were interested in how organisations like the Australian Data Archive fit into such programs. Steven said that a lot of work is still going on at the digitisation stage and I saw many of the library students realise that digitisation skill is worth developing.  

Karen demonstrated how easy (within three minutes) it is for people to find their own research data. She then enforced that our job as current or aspiring data librarians is to add value. We should be data connectors and be ready and poised to share that knowledge with people, for example, “Oh you are looking for biodiversity data? Do you know about Atlas of Living Australia or the Biodiversity Heritage Library?”

Many commented they enjoyed having Riley speak last as his presentation was a great visual representation of what can be done with data. He is working in the field of “generous interfaces” and he demonstrated what people like him can do with data if it is created well. I was particularly thankful that he linked his presentation back to “I wouldn’t have been able to create this, if the data wasn’t created to this standard”. After Sam’s presentation where he laid out most of the standards it helped people to realise how far well created data can actually go.

Check out the hashtag #ALIADW2017 on twitter to see what people were tweeting on the day.

The International Workshop on Social Science Data Archives, held in Taiwan, sponsored by IASSIST

The International Workshop on Social Science Data Archives, sponsored by IASSIST, was held on September 15 in Conference Room II, Research Center for Humanities and Social Science (RCHSS), Academia Sinica, Taipei, Taiwan. The invited speakers included Prof. Dr. Christof Wolf from GESIS – Leibniz-Institute for the Social Sciences, Dr. Yukio Maeda and Dr. Kaoru Sato from Social Science Japan Data Archive (SSJDA), University of Tokyo, and Dr. Won-ho Park, Dr. Seokho Kim from Korea Social Science Data Archive (KOSSDA), Seoul National University.

The finalized workshop agenda is listed in the following. We also had Dr. Ruoh-rong Yu introduce the Survey Research Data Archive of Taiwan. The topics of the presentations covered data curation, preservation, and dissemination services provided by each data archive. 

09:00~09:30

Registration

09:30~09:40

Opening Remarks

Dr. Ching-Ching Chang
Chair Professor
Department of Advertising
National Cheng-Chi University, Taiwan

Morning Session

Session Chair: Dr. Ching-ching Chang

09:40~10:20

Curating, Preserving, and Disseminating Social Science Micro Data at Social Science Japan Data Archive

Dr. Yukio Maeda
Professor
Institute of Social Science
University of Tokyo, JAPAN

10:20~11:00

Introduction to Korea Social Science Data Archive

Dr. Won-ho Park
Associate Professor
Department of Political Science and International Relations
Seoul National University, KOREA

Dr. Seokho Kim
Associate Professor
Department of Sociology
Seoul National University, KOREA

Dr. In Chol Shin
Senior Researcher
Korea Social Science Data Archive
Seoul National University Asia Center, KOREA

11:00~11:20

Tea Break

 

11:20~12:00

Introduction to Survey Research Data Archive of Taiwan

Dr. Ruoh-Rong Yu
Research Fellow and Executive Director
Center for Survey Research
Research Center for Humanities and Social Sciences, Academia Sinica, TAIWAN

12:00~14:00

Lunch

 

Afternoon Session

Session Chair: Dr. Chyi-In Wu. (Research Fellow, Institute of Sociology, Academia Sinica)

14:00~15:00

Services for Survey Data: The GESIS Perspective

Dr. Christof Wolf
President
GESIS – Leibniz Institute for the Social Sciences, GERMANY

15:00~15:20

Closing Remarks

 

The registration of the workshop started May 1, 2017. The registration fee was NT$200, which included conference printed materials, lunch and light refreshments.  69 researchers attended the workshop. Most of the attendants were local scholars, while others were from Thailand, Turkey or other countries.

In the opening remarks, Dr. Chang stressed the importance of data archives, and gave a brief introduction to the speakers of the morning sessions.

The speaker of first session, Dr. Maeda, introduced the development and current practice of SSJDA. In addition, he also introduced some other data centers in Japan, including Leviathan Data Bank, Rikkyo University Data Archive, and Research Centre for Information and Statistics of Social Science at Hitotsubashi University.

SSJDA was started in 1998, with deposits amounting to 2,018 datasets. Its main collections include the Japanese General Social Surveys, Japanese Life Course Panel Surveys, Japanese Election Studies, National Family Research of Japan, Working Persons Survey, and Elementary School Students Survey. Researchers affiliated with academic institutions and graduate students can get access to SSJDA datasets for academic purposes. Applicants should sign an agreement (pledge) and get permission from PI in advance. Under the supervision of professors, undergraduate students are allowed to access certain data for paper writing. Such usage is classified as educational use, instead of research use. Some datasets are for research use only, and are not available for educational use.

SSJDA also offers several seminars on data usage and a one-week seminar on quantitative analysis every year. SSJDA built a desktop application for managing metadata based on the DDI lifecycle named Easy DDI Organizer (EDO). EDO can be used to edit metadata, import metadata and variable information from statistical software, and export documents. It is a useful tool for researchers, data users, and data archives. However, this system only has a Japanese version.

The second speaker was Dr. Park from KOSSDA. KOSSDA is Korea’s leading data archive, with expertise in the collection, dissemination, and promotion of research materials through various academic events and methodology education programs. Started in 1983 as a non-profit social science library, KOSSDA began to collect survey data in 2003, and moved to Seoul National University Asia Center in 2015.

KOSSDA collects survey data, statistical tables, qualitative interviews and narrative history data, documents, observation records, and other kinds of data produced by research institutes and individuals. KOSSDA also establishes digital databases, and provides access to the data. Its main collections include the Korean General Social Survey, ISSP Annual Topical Module Survey, Gallup Omnibus Survey, etc. KOSSDA has translated 250 survey datasets to English, including their questionnaires and codebooks.

KOSSDA is now rebuilding its website to enhance its data searching function and to improve web design. KOSSDA offers methodology training programs, data fairs, and a research paper competition every year.

After a 20-minute tea break, the presentation on SRDA kicked off. The speaker, Dr. Yu, is the Executive Director of the Center for Survey Research at Academia Sinica. SRDA was established in 1994. There are now eleven full-time workers in SRDA, including two IT staff members. The data archived by SRDA include survey data, census data, and in-house value-added data.

SRDA curates academic survey data such as the Taiwan Social Change Survey, Panel Study of Family Dynamic, Taiwan Social Image Survey, Taiwan Youth Project, Taiwan Education Panel Survey, and Taiwan’s Election and Democratization Study. In addition, SRDA also curates government survey data including the Manpower Survey, Manpower Utilization Survey, Woman’s Marriage, Fertility and Employment Survey, Survey of Family Income and Expenditure, Digital Opportunity Survey for Individuals and Households, Survey on Workers’ Living and Employment Conditions, etc. The number of datasets dissimilated by SRDA exceeds 2,800, in which 315 datasets have English versions.

A membership scheme is adopted by SRDA. Academia Sinica members are researchers at Academia Sinica. Regular members are faculty, researchers, students, or research assistants at colleges or research institutes. There are now about 2,302 members. A member can get access to most of the archived data by direct downloading from the SRDA website.

SRDA members can also apply for data with restricted access. The restricted datasets can be used via on-site access or remote access. All services provided by SRDA are now free of charge.

SRDA offers workshops, webinars, and on-campus lectures to promote data usage. In addition, SRDA maintains some social media websites such as a Facebook fan page, Youtube Channel, and SRDA blog.

SRDA has been constructing a data-based bibliography for years. Since 2016, SRDA has begun to register DOI via da|ra. One task in progress is to construct a data integration platform for Taiwan Social Change Survey data of various years. Other main tasks include enlarging data storage, broadening membership, remodeling the website, developing data management plans, and constructing an evaluation scheme for data disclosure risk.

In the afternoon session, Dr. Chi-in Wu was the chair. The presenter, Dr. Wolf, introduced the development and current progress of GESIS. Relative to data archives of Asia countries, the budget and personnel of GESIS are very large. GESIS was founded in 1960, and the data archive for social science is one of the five research departments of GESIS. There are about 70 staff members in the data archive for social science, belonging to seven teams.

GESIS currently has about 6,000 datasets, which mainly focus on migration, election, values and attitudes, and social behavior. ISSP, CSES, EVS, and ALLBUS are some well-known social science survey programs. It is easy for PIs to upload datasets through the Datorium system, which is a self-deposit service for sharing data.

Dr. Wolf stressed the importance of DOI (Digital Object Identifiers), and introduced the DOI registration service built by GESIS  da|ra. Da|ra has 576,297 registered DOI names and 88 data providers worldwide, including ICPSR, SRDA, etc. In addition to hosting da|ra, GESIS is devoted to developing international standards for data documentation and data archiving, and providing training and consulting services to researchers.

In the presentation, Dr. Wolf also talked about the secure data center of GESIS. The secure data center enables researchers to access sensitive, and weakly anonymized data. It is a locked room without internet. Users have to sign contracts in advance. Any inputs and outputs are required to be checked for disclosure risk. In the future, the secure data center will establish a remote access system, which can provide secure access to the data curated in CESSDA.

A business meeting was kicked off on the next day (September 16). Besides the guests from GESIS, KOSSDA and SSJDA, participants of the meeting included researchers at the Center for Survey Research, and all the staff of SRDA. The agenda was as below.

Development of Consortium of European Social Science Data Archives (CESSDA)

Christof Wolf (GESIS)

Connections among SSJDA, KOSSDA and SRDA in Recent Years

Ruoh-rong Yu (SRDA)

Possible Future Collaboration among Data Archives

All Participants

There have been frequent connections among KOSSDA, SSJDA and SRDA in recent years. Conferences and/or workshops were hosted in rotation in 2008, 2012, 2014, 2015, 2016, and 2017.

In 2016, KOSSDA organized an international conference with invited guests from SSJDA at the University of Tokyo (Japan), CNSDA at Renmin University (China), and SRDA at Academia Sinica (Taiwan). In this conference, a consensus was reached to develop a regional association of data archives in Asian countries, namely the Networks of Asian Social Science Data Archive (NASSDA).

The main purpose of the business meeting this year was to discuss possible future collaboration among data archives in Asia countries. The brief conclusions are listed in the following:

  1. To build a joint data catalogue for the archives involved.
  2. To construct web linkages and brief introduction among archives.
  3. To have a contact person for each data archive for future cooperation.

NASSDA members will hold annual workshop or conferences on a rotating basis. Further collaboration will be discussed in the near future. 

IASSIST & CARTO 2018 CALL FOR PROPOSALS

Conference website: http://www.library.mcgill.ca/iassistcarto2018/

Conference hashtag: #iassistcarto

The 44th annual conference of the International Association for Social Science Information Services and Technology (IASSIST) will be jointly held with the 52nd annual conference of the Association of Canadian Map Libraries and Archives (ACMLA-ACACC) in Montréal, Québec, Canada from May 29-June 1, 2018.

Once Upon a Data Point: Sustaining our Data Storytellers

In many ways, researchers are data storytellers: they create compelling data-supported narratives for examining both historical and current social phenomena and for facilitating social change and reconciliation. We professionals who support these data storytellers play vital roles in giving their data stories life. We assist our data storytellers in:

  • Discovering existing and collecting new data from which to craft the stories.
  • Analyzing and managing data to uncover the stories hiding within.
  • Visualizing data to offer vivid and meaningful illustrations to enhance the stories.
  • Teaching data literacy skills to their audiences so they can understand and critique the stories.
  • Curating, archiving, and sharing data so that the stories are not lost for future generations, and so new data storytellers may weave even more stories from the data.

And we conduct our own research to tell our own stories and to also improve our support of other data storytellers.

We welcome submissions that tell diverse stories about our IASSIST and ACMLA-ACACC communities’ experiences, that offer conference attendees suggestions of how they can implement or adapt lessons for their own work, and that have wide-reaching appeal to our international attendees. Although the positive outcomes are always something people want to hear, there’s also an appetite for learning about the things that didn’t go well, particularly any problems you faced and how others might avoid or handle them.

So bring us your data comedies, tragedies, epics, horror stories, mysteries, histories, thrillers, adventures, fables, fantasies, science fiction, and even romances if you’ve got them! We look forward to sharing, learning from, and adapting each other's stories.

 

Submitting Proposals

We welcome submissions for papers, presentations, panels, posters, and Pecha Kuchas in English and French.

The Call for Presentations, along with the link to the submission form, is at: http://www.library.mcgill.ca/iassistcarto2018/call-for-proposals/ 

Questions about presentation submissions may be sent to the Program Co-Chairs (Jay Brodeur, Laurence Horton, and Mandy Swygart-Hobaugh) at iassist2018@gmail.com.

We are also accepting submissions for Pre-conference Workshops. The Call for Workshops, along with the link to the submission form, is at: http://www.library.mcgill.ca/iassistcarto2018/workshops/

Questions about workshop submissions may be sent to Workshop Coordinators, Jenny Muilenburg (jmuil@uw.edu) and Andy Rutkowski (arutkows@usc.edu).

Deadline for ALL submissions: 20 November 2017

Notification of acceptance: February 2018


Support for Attending the Conference

IASSIST Fellows Program supports data professionals from underrepresented regions and countries with emerging economies. IASSIST Early Professional Fellows Program helps early career data professionals recognizing the value of innovative ideas. Applications can be made at https://goo.gl/forms/dr6fie6XJyOKR4Ee2 and will close 19 January 2018.

Address questions about the Fellows Programs to Florio Arguillas (foa2@cornell.edu) and Stuart Macdonald (smacdee@outlook.com).

Winter 2016 IASSIST Quarterly Posted

Editor’s Notes
When things get digital and huge. Doing the things right and doing the right things.


Welcome to the fourth issue of Volume 40 of the IASSIST Quarterly (IQ 40:4, 2016).


There is a lot of management involved in the data management carried out at data archives and with data collections. The phrase 'Doing the things right and doing the right things' belongs to fathers of modern management and is used to distinguish management vs. leadership, efficiency vs. effectiveness, and tactics vs. strategy. The winning authors of the 2016 lASSIST paper competition used the article 'More Product, Less Process: Revamping Traditional Archival Processing' (Mark A. Greene and Dennis Meissner, 2005) as their starting point for investigating the 'More Product, Less Process' (MPLP) approach for digital data. The winning paper 'More Data, Less Process? The Applicability of MPLP to Research Data' is written by Sophia Lafferty-Hess and Thu-Mai Christian. The authors work at the Odum Institute for Research in Social Science, University of North Carolina at Chapel Hill as Research Data Manager and Assistant Director of Archives. The paper was presented in the session 'Data Management Archiving/Curation Platforms' at the IASSIST 2016 conference in Bergen.


In their paper Lafferty-Hess and Christian set out to apply the principles and concepts formulated in MPLP to the archiving of digital research data. They discuss data quality, usability, preservation and access, leading to the question: What is the ‘golden minimum’ for archiving digital data? In terms of data archiving, spending too much effort on doing the things right may bring the trade-off problem that the resources are not sufficient to do all the things. Users in the digital world retrieve and consume lots of information by themselves, but digital data comes in forms that are seldom directly consumable without additional processing. When the authors also relate the phrase 'golden minimum' to the phrase 'good enough', management is again brought into the discussion. In my view, the short formulation of Herbert Simon's ‘satisficing’ concept in his theory of bounded rationality is 'good enough is best'. Lafferty-Hess and Christian are aware that shifting responsibility for certain data curation tasks from the data archive to the data producer and to the data user can present problems. Their best advice and hope for the future is that additional 'future research will help us build better understanding of the connection between user needs and data curation processes'.


The following paper 'MMRepo - Storing qualitative and quantitative data into one big data repository' is authored by Ingo Barkow, Catharina Wasner and Fabian Odoni, working at University of Applied Sciences Eastern Switzerland HTW Chur where Barkow is Associate Professor and Wasner and Odoni are research associates. They describe a prototype of their MMRepo project that addresses the problem of storing qualitative large binary objects with regular quantitative data in order to achieve the advantage of storing mixed mode data in the same infrastructure, whereby only one system needs to be provided and maintained. Linking to the first paper they are looking into the efficiency problem of doing the things right. When you are efficient you can do more things right. The project is trying to achieve this by combining CERN’s Invenio portal with a Hadoop 2.0 cluster and DDI 3.3. The prototype was successful and the project continues. The paper was presented at the IASSIST 2016 conference in the session ‘Technical Data Infrastructure Frameworks’.


Aidan Condron works with the Big Data Network Support team at the UK Data Service. At the IASSIST 2016 conference he presented ‘Data Science: The Future of Social Science?’ at the session ‘Big Data, Big Science', and has submitted this presentation as the paper 'Servicing New and Novel Forms of Data: Opportunities for Social Science'. These ‘new and novel’ forms are, for example, social media data that present potential resources for researchers but also pose challenges for access provision and analysis. The paper introduces Data Service as a Platform (DSaaP), which is a project to establish technological infrastructure support. As with the MMRepo project, the DSaaP project will include both familiar and new and novel forms of data. The novel forms of data are often huge, and 'Hadoop' solutions are also at play here using a data lake built through use of open source software. The article also gives several demonstrations through graphs of energy consumption based on 3.7 billion datapoints. After the presentation and the paper, the Big Data Network Support team will standardise and generalise the procedures developed from their DSaaP project.


Submissions of papers for the IASSIST Quarterly are always very welcome. We welcome input from IASSIST conferences or other conferences and workshops, from local presentations or papers especially written for the IQ. When you are preparing a presentation, give a thought to turning your one-time presentation into a lasting contribution. We permit authors 'deep links' into the IQ as well as deposition of the paper in your local repository. Chairing a conference session with the purpose of aggregating and integrating papers for a special issue IQ is also much appreciated as the information reaches many more people than the session participants, and will be readily available on the IASSIST website at http://www.iassistdata.org.


Authors are very welcome to take a look at the instructions and layout:
http://iassistdata.org/iq/instructions-authors


Authors can also contact me via e-mail: kbr@sam.sdu.dk. Should you be interested in compiling a special issue for the IQ as guest editor(s) I will also be delighted to hear from you.


Karsten Boye Rasmussen

July 2017

Editor

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