An Environmental Scan for Data Services Trends that are shaping today’s environment for data services

Data Providers Ever increasing number of data providers (governments, IRs, commercial vendors, NGOs, IGOs.) More providers but harder to find, harder to choose from, poor online interfaces, and duplication of sources The existence of producers that do not disseminate their data (or do it poorly or apply controls too tightly)

Data Providers Producers who treat data as commodity Movement to data-sharing and preservation Data repositories recognizing need to collaborate and to form partnerships between repositories (e.g., Data-PASS) Emerging national digital information strategies shaping principles for digital access Producers providing online analysis

Data Providers Trends in dissemination include mix of open & proprietary formats; lack of standardized metadata; lack of services behind dissemination; questions of provenance Trends in policies includeintellectual property claims over data and copyright continue to create an unsettled state; funder requirements for open access forcing the hands of some data producers

Technology IT obsolescence continues to be around the 36th month mark Continued growth of institutional repositories Increased activity around visualization and GIS Migration from the desktop to the cloud (e.g., SDA, Nesstar) Open source analytic software (e.g., R) New data collection methodologies (facebook, web surveys)

Technology Changing nature of data in the social sciences including mixed methods producing text, audio & visual data, real time data collection Open data practices and metadata standards Collaborative computing environments (Web 2.0 social networking, collaborative computing, etc.) The gap between haves and have-nots of technology is not narrowing; persistence of digital divide Face issues of security control over local workstations in the workplace (IT system admin control)

Technology Training is essential, continuing and expensive Not enough staff or technology support Mobile devices (for both data collection and data dissemination)

Data Profession Growing number of data service librarian positions, but still have very little specialization training in library schools; “data librarian” not generally understood. No standard curriculum or professional track Profession is shifting to the life cycle management of data

Data Profession Many data services librarians have other significant responsibilities Data professionals with different credentials Areas of data responsibility may include GIS, e-science, digitization, etc. Anticipating increase in occupational prestige Involvement in recent trend of IRs and trusted, certified digital repositories

Educational Sector A wide variety of users (undergraduate, graduate, faculty) Widespread digitization (everybody’s doing it!) Weak economy is hurting the ed. sector Students better prepared and have higher expectations. Ubiquitous data use Administrators embracing cyberinfrastructure

Educational Sector Interdisciplinary studies: challenges by students and administrators over traditional disciplinary boundaries Data in libraries Interest by humanities researchers in data NSF mandate for data management plans and data deposit

Research community Increased data demands Growth in interdisciplinary research More quantitative research and repurposing of data Increased cost of data to support research Need more collaboration between researchers and data librarians (e.g., data mgmt. plans)

Research community Chaotic data distribution and sharing Project management help needed New methodologies Funders see value of data e-Science is generating awareness and funding for data sharing, data preservation, data access, data infrastructure

External/International factors Trust issues including issues of privacy, confidentiality, abuse of power Emergence of international standards (e.g., DDI for data documentation) Discussions occurring internationally about sharing data (e.g, the International Data Forum, CODATA, e-Science initiatives, IHSN)

External/International factors Barriers created by different information cultures, by swings in political climates, and by uneven IT infrastructure across countries Open data movement Barriers created by international intellectual property law Perception of national security risks New availability of reliable international development data